zhongziso种子搜
首页
功能
磁力转BT
BT转磁力
使用教程
免责声明
关于
zhongziso
搜索
[FreeCourseSite.com] Udemy - The Data Science Course Complete Data Science Bootcamp
magnet:?xt=urn:btih:3ff83ac61ba63ed0429cf4df7457bd96e24b31f4&dn=[FreeCourseSite.com] Udemy - The Data Science Course Complete Data Science Bootcamp
磁力链接详情
Hash值:
3ff83ac61ba63ed0429cf4df7457bd96e24b31f4
点击数:
78
文件大小:
9.08 GB
文件数量:
408
创建日期:
2024-1-3 08:11
最后访问:
2024-9-25 22:23
访问标签:
FreeCourseSite
com
Udemy
-
The
Data
Science
Course
Complete
Data
Science
Bootcamp
文件列表详情
01 - Part 1 Introduction/001 A Practical Example What You Will Learn in This Course.mp4 43.94 MB
01 - Part 1 Introduction/002 What Does the Course Cover.mp4 51.36 MB
02 - The Field of Data Science - The Various Data Science Disciplines/001 Data Science and Business Buzzwords Why are there so Many.mp4 57.35 MB
02 - The Field of Data Science - The Various Data Science Disciplines/002 What is the difference between Analysis and Analytics.mp4 11.16 MB
02 - The Field of Data Science - The Various Data Science Disciplines/003 Business Analytics, Data Analytics, and Data Science An Introduction.mp4 52.62 MB
02 - The Field of Data Science - The Various Data Science Disciplines/004 Continuing with BI, ML, and AI.mp4 36.95 MB
02 - The Field of Data Science - The Various Data Science Disciplines/005 A Breakdown of our Data Science Infographic.mp4 45.3 MB
04 - The Field of Data Science - The Benefits of Each Discipline/001 The Reason Behind These Disciplines.mp4 46.7 MB
05 - The Field of Data Science - Popular Data Science Techniques/001 Techniques for Working with Traditional Data.mp4 107.39 MB
05 - The Field of Data Science - Popular Data Science Techniques/002 Real Life Examples of Traditional Data.mp4 18.37 MB
05 - The Field of Data Science - Popular Data Science Techniques/003 Techniques for Working with Big Data.mp4 62.11 MB
05 - The Field of Data Science - Popular Data Science Techniques/004 Real Life Examples of Big Data.mp4 13.07 MB
05 - The Field of Data Science - Popular Data Science Techniques/005 Business Intelligence (BI) Techniques.mp4 52.88 MB
05 - The Field of Data Science - Popular Data Science Techniques/006 Real Life Examples of Business Intelligence (BI).mp4 24.68 MB
05 - The Field of Data Science - Popular Data Science Techniques/007 Techniques for Working with Traditional Methods.mp4 76.1 MB
05 - The Field of Data Science - Popular Data Science Techniques/008 Real Life Examples of Traditional Methods.mp4 27.41 MB
05 - The Field of Data Science - Popular Data Science Techniques/009 Machine Learning (ML) Techniques.mp4 49.41 MB
05 - The Field of Data Science - Popular Data Science Techniques/010 Types of Machine Learning.mp4 80.57 MB
05 - The Field of Data Science - Popular Data Science Techniques/011 Real Life Examples of Machine Learning (ML).mp4 27.7 MB
07 - The Field of Data Science - Careers in Data Science/001 Finding the Job - What to Expect and What to Look for.mp4 13.81 MB
08 - The Field of Data Science - Debunking Common Misconceptions/001 Debunking Common Misconceptions.mp4 58.81 MB
09 - Part 2 Probability/001 The Basic Probability Formula.mp4 29.39 MB
09 - Part 2 Probability/002 Computing Expected Values.mp4 45.67 MB
09 - Part 2 Probability/003 Frequency.mp4 37.36 MB
09 - Part 2 Probability/004 Events and Their Complements.mp4 25.83 MB
10 - Probability - Combinatorics/001 Fundamentals of Combinatorics.mp4 5.95 MB
10 - Probability - Combinatorics/002 Permutations and How to Use Them.mp4 17.52 MB
10 - Probability - Combinatorics/003 Simple Operations with Factorials.mp4 16.68 MB
10 - Probability - Combinatorics/004 Solving Variations with Repetition.mp4 13.95 MB
10 - Probability - Combinatorics/005 Solving Variations without Repetition.mp4 18.25 MB
10 - Probability - Combinatorics/006 Solving Combinations.mp4 23.67 MB
10 - Probability - Combinatorics/007 Symmetry of Combinations.mp4 13.75 MB
10 - Probability - Combinatorics/008 Solving Combinations with Separate Sample Spaces.mp4 10.65 MB
10 - Probability - Combinatorics/009 Combinatorics in Real-Life The Lottery.mp4 16.39 MB
10 - Probability - Combinatorics/010 A Recap of Combinatorics.mp4 15.02 MB
10 - Probability - Combinatorics/011 A Practical Example of Combinatorics.mp4 42.8 MB
11 - Probability - Bayesian Inference/001 Sets and Events.mp4 17.65 MB
11 - Probability - Bayesian Inference/002 Ways Sets Can Interact.mp4 19.3 MB
11 - Probability - Bayesian Inference/003 Intersection of Sets.mp4 11.01 MB
11 - Probability - Bayesian Inference/004 Union of Sets.mp4 24.2 MB
11 - Probability - Bayesian Inference/005 Mutually Exclusive Sets.mp4 10.59 MB
11 - Probability - Bayesian Inference/006 Dependence and Independence of Sets.mp4 14.92 MB
11 - Probability - Bayesian Inference/007 The Conditional Probability Formula.mp4 16.59 MB
11 - Probability - Bayesian Inference/008 The Law of Total Probability.mp4 11.59 MB
11 - Probability - Bayesian Inference/009 The Additive Rule.mp4 11.11 MB
11 - Probability - Bayesian Inference/010 The Multiplication Law.mp4 20.19 MB
11 - Probability - Bayesian Inference/011 Bayes' Law.mp4 21.34 MB
11 - Probability - Bayesian Inference/012 A Practical Example of Bayesian Inference.mp4 139.14 MB
12 - Probability - Distributions/001 Fundamentals of Probability Distributions.mp4 19.43 MB
12 - Probability - Distributions/002 Types of Probability Distributions.mp4 35.58 MB
12 - Probability - Distributions/003 Characteristics of Discrete Distributions.mp4 9.42 MB
12 - Probability - Distributions/004 Discrete Distributions The Uniform Distribution.mp4 10.31 MB
12 - Probability - Distributions/005 Discrete Distributions The Bernoulli Distribution.mp4 15.12 MB
12 - Probability - Distributions/006 Discrete Distributions The Binomial Distribution.mp4 30.61 MB
12 - Probability - Distributions/007 Discrete Distributions The Poisson Distribution.mp4 23.93 MB
12 - Probability - Distributions/008 Characteristics of Continuous Distributions.mp4 36.13 MB
12 - Probability - Distributions/009 Continuous Distributions The Normal Distribution.mp4 20.01 MB
12 - Probability - Distributions/010 Continuous Distributions The Standard Normal Distribution.mp4 38.36 MB
12 - Probability - Distributions/011 Continuous Distributions The Students' T Distribution.mp4 9.24 MB
12 - Probability - Distributions/012 Continuous Distributions The Chi-Squared Distribution.mp4 20.97 MB
12 - Probability - Distributions/013 Continuous Distributions The Exponential Distribution.mp4 16 MB
12 - Probability - Distributions/014 Continuous Distributions The Logistic Distribution.mp4 16.17 MB
12 - Probability - Distributions/015 A Practical Example of Probability Distributions.mp4 138.12 MB
13 - Probability - Probability in Other Fields/001 Probability in Finance.mp4 40.34 MB
13 - Probability - Probability in Other Fields/002 Probability in Statistics.mp4 31.6 MB
13 - Probability - Probability in Other Fields/003 Probability in Data Science.mp4 56.89 MB
14 - Part 3 Statistics/001 Population and Sample.mp4 35.1 MB
15 - Statistics - Descriptive Statistics/001 Types of Data.mp4 43.17 MB
15 - Statistics - Descriptive Statistics/002 Levels of Measurement.mp4 32.18 MB
15 - Statistics - Descriptive Statistics/003 Categorical Variables - Visualization Techniques.mp4 36.64 MB
15 - Statistics - Descriptive Statistics/005 Numerical Variables - Frequency Distribution Table.mp4 17.69 MB
15 - Statistics - Descriptive Statistics/007 The Histogram.mp4 9.57 MB
15 - Statistics - Descriptive Statistics/009 Cross Tables and Scatter Plots.mp4 19.71 MB
15 - Statistics - Descriptive Statistics/011 Mean, median and mode.mp4 24.49 MB
15 - Statistics - Descriptive Statistics/013 Skewness.mp4 13.31 MB
15 - Statistics - Descriptive Statistics/015 Variance.mp4 23.54 MB
15 - Statistics - Descriptive Statistics/017 Standard Deviation and Coefficient of Variation.mp4 20.14 MB
15 - Statistics - Descriptive Statistics/019 Covariance.mp4 18.38 MB
15 - Statistics - Descriptive Statistics/021 Correlation Coefficient.mp4 19.34 MB
16 - Statistics - Practical Example Descriptive Statistics/001 Practical Example Descriptive Statistics.mp4 150.18 MB
17 - Statistics - Inferential Statistics Fundamentals/001 Introduction.mp4 3.06 MB
17 - Statistics - Inferential Statistics Fundamentals/002 What is a Distribution.mp4 17.2 MB
17 - Statistics - Inferential Statistics Fundamentals/003 The Normal Distribution.mp4 27.49 MB
17 - Statistics - Inferential Statistics Fundamentals/004 The Standard Normal Distribution.mp4 8.61 MB
17 - Statistics - Inferential Statistics Fundamentals/006 Central Limit Theorem.mp4 23.22 MB
17 - Statistics - Inferential Statistics Fundamentals/007 Standard error.mp4 13.52 MB
17 - Statistics - Inferential Statistics Fundamentals/008 Estimators and Estimates.mp4 27.7 MB
18 - Statistics - Inferential Statistics Confidence Intervals/001 What are Confidence Intervals.mp4 28.62 MB
18 - Statistics - Inferential Statistics Confidence Intervals/002 Confidence Intervals; Population Variance Known; Z-score.mp4 52.16 MB
18 - Statistics - Inferential Statistics Confidence Intervals/004 Confidence Interval Clarifications.mp4 18.94 MB
18 - Statistics - Inferential Statistics Confidence Intervals/005 Student's T Distribution.mp4 13.68 MB
18 - Statistics - Inferential Statistics Confidence Intervals/006 Confidence Intervals; Population Variance Unknown; T-score.mp4 13.69 MB
18 - Statistics - Inferential Statistics Confidence Intervals/008 Margin of Error.mp4 23.1 MB
18 - Statistics - Inferential Statistics Confidence Intervals/009 Confidence intervals. Two means. Dependent samples.mp4 44.97 MB
18 - Statistics - Inferential Statistics Confidence Intervals/011 Confidence intervals. Two means. Independent Samples (Part 1).mp4 11.99 MB
18 - Statistics - Inferential Statistics Confidence Intervals/013 Confidence intervals. Two means. Independent Samples (Part 2).mp4 14.62 MB
18 - Statistics - Inferential Statistics Confidence Intervals/015 Confidence intervals. Two means. Independent Samples (Part 3).mp4 6.89 MB
19 - Statistics - Practical Example Inferential Statistics/001 Practical Example Inferential Statistics.mp4 68.98 MB
20 - Statistics - Hypothesis Testing/001 Null vs Alternative Hypothesis.mp4 83.58 MB
20 - Statistics - Hypothesis Testing/003 Rejection Region and Significance Level.mp4 38.69 MB
20 - Statistics - Hypothesis Testing/004 Type I Error and Type II Error.mp4 18.61 MB
20 - Statistics - Hypothesis Testing/005 Test for the Mean. Population Variance Known.mp4 36.95 MB
20 - Statistics - Hypothesis Testing/007 p-value.mp4 33.78 MB
20 - Statistics - Hypothesis Testing/008 Test for the Mean. Population Variance Unknown.mp4 19.71 MB
20 - Statistics - Hypothesis Testing/010 Test for the Mean. Dependent Samples.mp4 32.79 MB
20 - Statistics - Hypothesis Testing/012 Test for the mean. Independent Samples (Part 1).mp4 15.41 MB
20 - Statistics - Hypothesis Testing/014 Test for the mean. Independent Samples (Part 2).mp4 24.45 MB
21 - Statistics - Practical Example Hypothesis Testing/001 Practical Example Hypothesis Testing.mp4 45.82 MB
22 - Part 4 Introduction to Python/001 Introduction to Programming.mp4 14.76 MB
22 - Part 4 Introduction to Python/002 Why Python.mp4 12.04 MB
22 - Part 4 Introduction to Python/003 Why Jupyter.mp4 8.13 MB
22 - Part 4 Introduction to Python/004 Installing Python and Jupyter.mp4 32.82 MB
22 - Part 4 Introduction to Python/005 Understanding Jupyter's Interface - the Notebook Dashboard.mp4 6.07 MB
22 - Part 4 Introduction to Python/006 Prerequisites for Coding in the Jupyter Notebooks.mp4 18.96 MB
23 - Python - Variables and Data Types/001 Variables.mp4 8.95 MB
23 - Python - Variables and Data Types/002 Numbers and Boolean Values in Python.mp4 13.7 MB
23 - Python - Variables and Data Types/003 Python Strings.mp4 15.67 MB
24 - Python - Basic Python Syntax/001 Using Arithmetic Operators in Python.mp4 8.63 MB
24 - Python - Basic Python Syntax/002 The Double Equality Sign.mp4 2.72 MB
24 - Python - Basic Python Syntax/003 How to Reassign Values.mp4 1.86 MB
24 - Python - Basic Python Syntax/004 Add Comments.mp4 2.41 MB
24 - Python - Basic Python Syntax/005 Understanding Line Continuation.mp4 1.2 MB
24 - Python - Basic Python Syntax/006 Indexing Elements.mp4 2.36 MB
24 - Python - Basic Python Syntax/007 Structuring with Indentation.mp4 2.79 MB
25 - Python - Other Python Operators/001 Comparison Operators.mp4 4.82 MB
25 - Python - Other Python Operators/002 Logical and Identity Operators.mp4 19 MB
26 - Python - Conditional Statements/001 The IF Statement.mp4 6.07 MB
26 - Python - Conditional Statements/002 The ELSE Statement.mp4 6.04 MB
26 - Python - Conditional Statements/003 The ELIF Statement.mp4 14.23 MB
26 - Python - Conditional Statements/004 A Note on Boolean Values.mp4 4.24 MB
27 - Python - Python Functions/001 Defining a Function in Python.mp4 3.23 MB
27 - Python - Python Functions/002 How to Create a Function with a Parameter.mp4 8.33 MB
27 - Python - Python Functions/003 Defining a Function in Python - Part II.mp4 6.45 MB
27 - Python - Python Functions/004 How to Use a Function within a Function.mp4 3.23 MB
27 - Python - Python Functions/005 Conditional Statements and Functions.mp4 5.98 MB
27 - Python - Python Functions/006 Functions Containing a Few Arguments.mp4 2.83 MB
27 - Python - Python Functions/007 Built-in Functions in Python.mp4 10.19 MB
28 - Python - Sequences/001 Lists.mp4 23.03 MB
28 - Python - Sequences/002 Using Methods.mp4 30.37 MB
28 - Python - Sequences/003 List Slicing.mp4 19.18 MB
28 - Python - Sequences/004 Tuples.mp4 18.19 MB
28 - Python - Sequences/005 Dictionaries.mp4 32.44 MB
29 - Python - Iterations/001 For Loops.mp4 23.6 MB
29 - Python - Iterations/002 While Loops and Incrementing.mp4 20.18 MB
29 - Python - Iterations/003 Lists with the range() Function.mp4 11.94 MB
29 - Python - Iterations/004 Conditional Statements and Loops.mp4 21.94 MB
29 - Python - Iterations/005 Conditional Statements, Functions, and Loops.mp4 4.27 MB
29 - Python - Iterations/006 How to Iterate over Dictionaries.mp4 16.44 MB
30 - Python - Advanced Python Tools/001 Object Oriented Programming.mp4 8.65 MB
30 - Python - Advanced Python Tools/002 Modules and Packages.mp4 2.08 MB
30 - Python - Advanced Python Tools/003 What is the Standard Library.mp4 5.05 MB
30 - Python - Advanced Python Tools/004 Importing Modules in Python.mp4 8.55 MB
31 - Part 5 Advanced Statistical Methods in Python/001 Introduction to Regression Analysis.mp4 3.59 MB
32 - Advanced Statistical Methods - Linear Regression with StatsModels/001 The Linear Regression Model.mp4 13.48 MB
32 - Advanced Statistical Methods - Linear Regression with StatsModels/002 Correlation vs Regression.mp4 3.84 MB
32 - Advanced Statistical Methods - Linear Regression with StatsModels/004 Python Packages Installation.mp4 23.67 MB
32 - Advanced Statistical Methods - Linear Regression with StatsModels/005 First Regression in Python.mp4 29.62 MB
32 - Advanced Statistical Methods - Linear Regression with StatsModels/007 Using Seaborn for Graphs.mp4 7.37 MB
32 - Advanced Statistical Methods - Linear Regression with StatsModels/008 How to Interpret the Regression Table.mp4 28.73 MB
32 - Advanced Statistical Methods - Linear Regression with StatsModels/009 Decomposition of Variability.mp4 8.79 MB
32 - Advanced Statistical Methods - Linear Regression with StatsModels/010 What is the OLS.mp4 22.48 MB
32 - Advanced Statistical Methods - Linear Regression with StatsModels/011 R-Squared.mp4 11.2 MB
33 - Advanced Statistical Methods - Multiple Linear Regression with StatsModels/001 Multiple Linear Regression.mp4 5.68 MB
33 - Advanced Statistical Methods - Multiple Linear Regression with StatsModels/002 Adjusted R-Squared.mp4 34.19 MB
33 - Advanced Statistical Methods - Multiple Linear Regression with StatsModels/004 Test for Significance of the Model (F-Test).mp4 7.17 MB
33 - Advanced Statistical Methods - Multiple Linear Regression with StatsModels/005 OLS Assumptions.mp4 5.26 MB
33 - Advanced Statistical Methods - Multiple Linear Regression with StatsModels/006 A1 Linearity.mp4 3.57 MB
33 - Advanced Statistical Methods - Multiple Linear Regression with StatsModels/007 A2 No Endogeneity.mp4 9.24 MB
33 - Advanced Statistical Methods - Multiple Linear Regression with StatsModels/008 A3 Normality and Homoscedasticity.mp4 27.38 MB
33 - Advanced Statistical Methods - Multiple Linear Regression with StatsModels/009 A4 No Autocorrelation.mp4 7.89 MB
33 - Advanced Statistical Methods - Multiple Linear Regression with StatsModels/010 A5 No Multicollinearity.mp4 7.6 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/002 How are we Going to Approach this Section.mp4 5.29 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/003 Simple Linear Regression with sklearn.mp4 31.62 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/004 Simple Linear Regression with sklearn - A StatsModels-like Summary Table.mp4 28.89 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/007 Multiple Linear Regression with sklearn.mp4 11.01 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/008 Calculating the Adjusted R-Squared in sklearn.mp4 21.75 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/010 Feature Selection (F-regression).mp4 20.47 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/012 Creating a Summary Table with P-values.mp4 6.45 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/014 Feature Scaling (Standardization).mp4 20.36 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/015 Feature Selection through Standardization of Weights.mp4 24.46 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/016 Predicting with the Standardized Coefficients.mp4 20.42 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/018 Underfitting and Overfitting.mp4 5.83 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/019 Train - Test Split Explained.mp4 35.57 MB
35 - Advanced Statistical Methods - Practical Example Linear Regression/001 Practical Example Linear Regression (Part 1).mp4 84.69 MB
35 - Advanced Statistical Methods - Practical Example Linear Regression/002 Practical Example Linear Regression (Part 2).mp4 31.88 MB
35 - Advanced Statistical Methods - Practical Example Linear Regression/004 Practical Example Linear Regression (Part 3).mp4 16.65 MB
35 - Advanced Statistical Methods - Practical Example Linear Regression/006 Practical Example Linear Regression (Part 4).mp4 39.4 MB
35 - Advanced Statistical Methods - Practical Example Linear Regression/008 Practical Example Linear Regression (Part 5).mp4 50.4 MB
36 - Advanced Statistical Methods - Logistic Regression/001 Introduction to Logistic Regression.mp4 5.87 MB
36 - Advanced Statistical Methods - Logistic Regression/002 A Simple Example in Python.mp4 21.89 MB
36 - Advanced Statistical Methods - Logistic Regression/003 Logistic vs Logit Function.mp4 23.76 MB
36 - Advanced Statistical Methods - Logistic Regression/004 Building a Logistic Regression.mp4 8.59 MB
36 - Advanced Statistical Methods - Logistic Regression/006 An Invaluable Coding Tip.mp4 18.76 MB
36 - Advanced Statistical Methods - Logistic Regression/007 Understanding Logistic Regression Tables.mp4 14.58 MB
36 - Advanced Statistical Methods - Logistic Regression/009 What do the Odds Actually Mean.mp4 11.39 MB
36 - Advanced Statistical Methods - Logistic Regression/010 Binary Predictors in a Logistic Regression.mp4 24.83 MB
36 - Advanced Statistical Methods - Logistic Regression/012 Calculating the Accuracy of the Model.mp4 20.27 MB
36 - Advanced Statistical Methods - Logistic Regression/014 Underfitting and Overfitting.mp4 7.49 MB
36 - Advanced Statistical Methods - Logistic Regression/015 Testing the Model.mp4 21.59 MB
37 - Advanced Statistical Methods - Cluster Analysis/001 Introduction to Cluster Analysis.mp4 14.46 MB
37 - Advanced Statistical Methods - Cluster Analysis/002 Some Examples of Clusters.mp4 35.87 MB
37 - Advanced Statistical Methods - Cluster Analysis/003 Difference between Classification and Clustering.mp4 9.67 MB
37 - Advanced Statistical Methods - Cluster Analysis/004 Math Prerequisites.mp4 5.27 MB
38 - Advanced Statistical Methods - K-Means Clustering/001 K-Means Clustering.mp4 10.82 MB
38 - Advanced Statistical Methods - K-Means Clustering/002 A Simple Example of Clustering.mp4 34.21 MB
38 - Advanced Statistical Methods - K-Means Clustering/004 Clustering Categorical Data.mp4 10.35 MB
38 - Advanced Statistical Methods - K-Means Clustering/006 How to Choose the Number of Clusters.mp4 26.87 MB
38 - Advanced Statistical Methods - K-Means Clustering/008 Pros and Cons of K-Means Clustering.mp4 11.12 MB
38 - Advanced Statistical Methods - K-Means Clustering/009 To Standardize or not to Standardize.mp4 10.92 MB
38 - Advanced Statistical Methods - K-Means Clustering/010 Relationship between Clustering and Regression.mp4 3.51 MB
38 - Advanced Statistical Methods - K-Means Clustering/011 Market Segmentation with Cluster Analysis (Part 1).mp4 28.09 MB
38 - Advanced Statistical Methods - K-Means Clustering/012 Market Segmentation with Cluster Analysis (Part 2).mp4 34.09 MB
38 - Advanced Statistical Methods - K-Means Clustering/013 How is Clustering Useful.mp4 37.48 MB
39 - Advanced Statistical Methods - Other Types of Clustering/001 Types of Clustering.mp4 9.01 MB
39 - Advanced Statistical Methods - Other Types of Clustering/002 Dendrogram.mp4 18.3 MB
39 - Advanced Statistical Methods - Other Types of Clustering/003 Heatmaps.mp4 25.71 MB
40 - Part 6 Mathematics/001 What is a Matrix.mp4 11.94 MB
40 - Part 6 Mathematics/002 Scalars and Vectors.mp4 8.53 MB
40 - Part 6 Mathematics/003 Linear Algebra and Geometry.mp4 13.73 MB
40 - Part 6 Mathematics/004 Arrays in Python - A Convenient Way To Represent Matrices.mp4 18.98 MB
40 - Part 6 Mathematics/005 What is a Tensor.mp4 15.53 MB
40 - Part 6 Mathematics/006 Addition and Subtraction of Matrices.mp4 22.1 MB
40 - Part 6 Mathematics/007 Errors when Adding Matrices.mp4 5.78 MB
40 - Part 6 Mathematics/008 Transpose of a Matrix.mp4 20.49 MB
40 - Part 6 Mathematics/009 Dot Product.mp4 12.84 MB
40 - Part 6 Mathematics/010 Dot Product of Matrices.mp4 34.32 MB
40 - Part 6 Mathematics/011 Why is Linear Algebra Useful.mp4 88.42 MB
41 - Part 7 Deep Learning/001 What to Expect from this Part.mp4 11.73 MB
42 - Deep Learning - Introduction to Neural Networks/001 Introduction to Neural Networks.mp4 10.49 MB
42 - Deep Learning - Introduction to Neural Networks/002 Training the Model.mp4 7.71 MB
42 - Deep Learning - Introduction to Neural Networks/003 Types of Machine Learning.mp4 13.05 MB
42 - Deep Learning - Introduction to Neural Networks/004 The Linear Model (Linear Algebraic Version).mp4 7.98 MB
42 - Deep Learning - Introduction to Neural Networks/005 The Linear Model with Multiple Inputs.mp4 7.91 MB
42 - Deep Learning - Introduction to Neural Networks/006 The Linear model with Multiple Inputs and Multiple Outputs.mp4 16.66 MB
42 - Deep Learning - Introduction to Neural Networks/007 Graphical Representation of Simple Neural Networks.mp4 7.78 MB
42 - Deep Learning - Introduction to Neural Networks/008 What is the Objective Function.mp4 6.18 MB
42 - Deep Learning - Introduction to Neural Networks/009 Common Objective Functions L2-norm Loss.mp4 5.47 MB
42 - Deep Learning - Introduction to Neural Networks/010 Common Objective Functions Cross-Entropy Loss.mp4 9.84 MB
42 - Deep Learning - Introduction to Neural Networks/011 Optimization Algorithm 1-Parameter Gradient Descent.mp4 23.59 MB
42 - Deep Learning - Introduction to Neural Networks/012 Optimization Algorithm n-Parameter Gradient Descent.mp4 16.83 MB
43 - Deep Learning - How to Build a Neural Network from Scratch with NumPy/001 Basic NN Example (Part 1).mp4 9.34 MB
43 - Deep Learning - How to Build a Neural Network from Scratch with NumPy/002 Basic NN Example (Part 2).mp4 15.23 MB
43 - Deep Learning - How to Build a Neural Network from Scratch with NumPy/003 Basic NN Example (Part 3).mp4 15.65 MB
43 - Deep Learning - How to Build a Neural Network from Scratch with NumPy/004 Basic NN Example (Part 4).mp4 39.99 MB
44 - Deep Learning - TensorFlow 2.0 Introduction/001 How to Install TensorFlow 2.0.mp4 27.32 MB
44 - Deep Learning - TensorFlow 2.0 Introduction/002 TensorFlow Outline and Comparison with Other Libraries.mp4 15.28 MB
44 - Deep Learning - TensorFlow 2.0 Introduction/003 TensorFlow 1 vs TensorFlow 2.mp4 15.32 MB
44 - Deep Learning - TensorFlow 2.0 Introduction/004 A Note on TensorFlow 2 Syntax.mp4 4.63 MB
44 - Deep Learning - TensorFlow 2.0 Introduction/005 Types of File Formats Supporting TensorFlow.mp4 8.86 MB
44 - Deep Learning - TensorFlow 2.0 Introduction/006 Outlining the Model with TensorFlow 2.mp4 26.94 MB
44 - Deep Learning - TensorFlow 2.0 Introduction/007 Interpreting the Result and Extracting the Weights and Bias.mp4 25.96 MB
44 - Deep Learning - TensorFlow 2.0 Introduction/008 Customizing a TensorFlow 2 Model.mp4 16.71 MB
45 - Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/001 What is a Layer.mp4 5.17 MB
45 - Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/002 What is a Deep Net.mp4 9.12 MB
45 - Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/003 Digging into a Deep Net.mp4 23.7 MB
45 - Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/004 Non-Linearities and their Purpose.mp4 22.57 MB
45 - Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/005 Activation Functions.mp4 8.85 MB
45 - Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/006 Activation Functions Softmax Activation.mp4 8.74 MB
45 - Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/007 Backpropagation.mp4 20.35 MB
45 - Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/008 Backpropagation Picture.mp4 8.06 MB
46 - Deep Learning - Overfitting/001 What is Overfitting.mp4 10.81 MB
46 - Deep Learning - Overfitting/002 Underfitting and Overfitting for Classification.mp4 14 MB
46 - Deep Learning - Overfitting/003 What is Validation.mp4 8.38 MB
46 - Deep Learning - Overfitting/004 Training, Validation, and Test Datasets.mp4 9.4 MB
46 - Deep Learning - Overfitting/005 N-Fold Cross Validation.mp4 6.24 MB
46 - Deep Learning - Overfitting/006 Early Stopping or When to Stop Training.mp4 10.29 MB
47 - Deep Learning - Initialization/001 What is Initialization.mp4 12.85 MB
47 - Deep Learning - Initialization/002 Types of Simple Initializations.mp4 5.73 MB
47 - Deep Learning - Initialization/003 State-of-the-Art Method - (Xavier) Glorot Initialization.mp4 5.46 MB
48 - Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/001 Stochastic Gradient Descent.mp4 9.67 MB
48 - Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/002 Problems with Gradient Descent.mp4 3.65 MB
48 - Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/003 Momentum.mp4 5.18 MB
48 - Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/005 Learning Rate Schedules Visualized.mp4 8 MB
48 - Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/007 Adam (Adaptive Moment Estimation).mp4 7.14 MB
49 - Deep Learning - Preprocessing/001 Preprocessing Introduction.mp4 9.23 MB
49 - Deep Learning - Preprocessing/002 Types of Basic Preprocessing.mp4 3.24 MB
49 - Deep Learning - Preprocessing/003 Standardization.mp4 12.07 MB
49 - Deep Learning - Preprocessing/004 Preprocessing Categorical Data.mp4 5.44 MB
49 - Deep Learning - Preprocessing/005 Binary and One-Hot Encoding.mp4 23.94 MB
50 - Deep Learning - Classifying on the MNIST Dataset/001 MNIST The Dataset.mp4 4.53 MB
50 - Deep Learning - Classifying on the MNIST Dataset/002 MNIST How to Tackle the MNIST.mp4 7.95 MB
50 - Deep Learning - Classifying on the MNIST Dataset/003 MNIST Importing the Relevant Packages and Loading the Data.mp4 12.24 MB
50 - Deep Learning - Classifying on the MNIST Dataset/004 MNIST Preprocess the Data - Create a Validation Set and Scale It.mp4 22.9 MB
50 - Deep Learning - Classifying on the MNIST Dataset/006 MNIST Preprocess the Data - Shuffle and Batch.mp4 32.69 MB
50 - Deep Learning - Classifying on the MNIST Dataset/008 MNIST Outline the Model.mp4 22.08 MB
50 - Deep Learning - Classifying on the MNIST Dataset/009 MNIST Select the Loss and the Optimizer.mp4 10.63 MB
50 - Deep Learning - Classifying on the MNIST Dataset/010 MNIST Learning.mp4 30.99 MB
50 - Deep Learning - Classifying on the MNIST Dataset/012 MNIST Testing the Model.mp4 22.61 MB
51 - Deep Learning - Business Case Example/001 Business Case Exploring the Dataset and Identifying Predictors.mp4 51.28 MB
51 - Deep Learning - Business Case Example/002 Business Case Outlining the Solution.mp4 3.05 MB
51 - Deep Learning - Business Case Example/003 Business Case Balancing the Dataset.mp4 27.31 MB
51 - Deep Learning - Business Case Example/004 Business Case Preprocessing the Data.mp4 73.86 MB
51 - Deep Learning - Business Case Example/006 Business Case Load the Preprocessed Data.mp4 13.83 MB
51 - Deep Learning - Business Case Example/008 Business Case Learning and Interpreting the Result.mp4 27.77 MB
51 - Deep Learning - Business Case Example/009 Business Case Setting an Early Stopping Mechanism.mp4 43.75 MB
51 - Deep Learning - Business Case Example/011 Business Case Testing the Model.mp4 8.18 MB
52 - Deep Learning - Conclusion/001 Summary on What You've Learned.mp4 9.86 MB
52 - Deep Learning - Conclusion/002 What's Further out there in terms of Machine Learning.mp4 4.79 MB
52 - Deep Learning - Conclusion/004 An overview of CNNs.mp4 13.38 MB
52 - Deep Learning - Conclusion/005 An Overview of RNNs.mp4 6.97 MB
52 - Deep Learning - Conclusion/006 An Overview of non-NN Approaches.mp4 16.08 MB
53 - Appendix Deep Learning - TensorFlow 1 Introduction/002 How to Install TensorFlow 1.mp4 5 MB
53 - Appendix Deep Learning - TensorFlow 1 Introduction/004 TensorFlow Intro.mp4 16.88 MB
53 - Appendix Deep Learning - TensorFlow 1 Introduction/005 Actual Introduction to TensorFlow.mp4 9.15 MB
53 - Appendix Deep Learning - TensorFlow 1 Introduction/006 Types of File Formats, supporting Tensors.mp4 8.89 MB
53 - Appendix Deep Learning - TensorFlow 1 Introduction/007 Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases.mp4 17.7 MB
53 - Appendix Deep Learning - TensorFlow 1 Introduction/008 Basic NN Example with TF Loss Function and Gradient Descent.mp4 15.7 MB
53 - Appendix Deep Learning - TensorFlow 1 Introduction/009 Basic NN Example with TF Model Output.mp4 19.14 MB
54 - Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/001 MNIST What is the MNIST Dataset.mp4 4.8 MB
54 - Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/002 MNIST How to Tackle the MNIST.mp4 6.49 MB
54 - Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/003 MNIST Relevant Packages.mp4 11.26 MB
54 - Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/004 MNIST Model Outline.mp4 34.65 MB
54 - Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/005 MNIST Loss and Optimization Algorithm.mp4 15.77 MB
54 - Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/006 Calculating the Accuracy of the Model.mp4 24.45 MB
54 - Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/007 MNIST Batching and Early Stopping.mp4 9.48 MB
54 - Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/008 MNIST Learning.mp4 31.83 MB
54 - Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/009 MNIST Results and Testing.mp4 45.47 MB
55 - Appendix Deep Learning - TensorFlow 1 Business Case/001 Business Case Getting Acquainted with the Dataset.mp4 60.25 MB
55 - Appendix Deep Learning - TensorFlow 1 Business Case/002 Business Case Outlining the Solution.mp4 4.16 MB
55 - Appendix Deep Learning - TensorFlow 1 Business Case/003 The Importance of Working with a Balanced Dataset.mp4 27.25 MB
55 - Appendix Deep Learning - TensorFlow 1 Business Case/004 Business Case Preprocessing.mp4 63.7 MB
55 - Appendix Deep Learning - TensorFlow 1 Business Case/006 Creating a Data Provider.mp4 56.31 MB
55 - Appendix Deep Learning - TensorFlow 1 Business Case/007 Business Case Model Outline.mp4 42.53 MB
55 - Appendix Deep Learning - TensorFlow 1 Business Case/008 Business Case Optimization.mp4 26.93 MB
55 - Appendix Deep Learning - TensorFlow 1 Business Case/009 Business Case Interpretation.mp4 18.6 MB
55 - Appendix Deep Learning - TensorFlow 1 Business Case/010 Business Case Testing the Model.mp4 4.34 MB
55 - Appendix Deep Learning - TensorFlow 1 Business Case/011 Business Case A Comment on the Homework.mp4 20.58 MB
56 - Software Integration/001 What are Data, Servers, Clients, Requests, and Responses.mp4 19.51 MB
56 - Software Integration/002 What are Data Connectivity, APIs, and Endpoints.mp4 60.23 MB
56 - Software Integration/003 Taking a Closer Look at APIs.mp4 67.06 MB
56 - Software Integration/004 Communication between Software Products through Text Files.mp4 21.87 MB
56 - Software Integration/005 Software Integration - Explained.mp4 42.94 MB
57 - Case Study - What's Next in the Course/001 Game Plan for this Python, SQL, and Tableau Business Exercise.mp4 19.67 MB
57 - Case Study - What's Next in the Course/002 The Business Task.mp4 8.35 MB
57 - Case Study - What's Next in the Course/003 Introducing the Data Set.mp4 24.24 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/002 Importing the Absenteeism Data in Python.mp4 19.53 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/003 Checking the Content of the Data Set.mp4 54.05 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/004 Introduction to Terms with Multiple Meanings.mp4 18 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/006 Using a Statistical Approach towards the Solution to the Exercise.mp4 13.75 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/007 Dropping a Column from a DataFrame in Python.mp4 41.25 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/010 Analyzing the Reasons for Absence.mp4 27.61 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/011 Obtaining Dummies from a Single Feature.mp4 69.76 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/015 More on Dummy Variables A Statistical Perspective.mp4 5.82 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/016 Classifying the Various Reasons for Absence.mp4 59.2 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/017 Using .concat() in Python.mp4 27.33 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/020 Reordering Columns in a Pandas DataFrame in Python.mp4 9.99 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/023 Creating Checkpoints while Coding in Jupyter.mp4 17.33 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/026 Analyzing the Dates from the Initial Data Set.mp4 40.13 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/027 Extracting the Month Value from the Date Column.mp4 33.93 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/028 Extracting the Day of the Week from the Date Column.mp4 19.11 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/030 Analyzing Several Straightforward Columns for this Exercise.mp4 20.09 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/031 Working on Education, Children, and Pets.mp4 16.92 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/032 Final Remarks of this Section.mp4 19.74 MB
59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/004 Standardizing the Data.mp4 15.15 MB
59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/005 Splitting the Data for Training and Testing.mp4 41.89 MB
59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/006 Fitting the Model and Assessing its Accuracy.mp4 35.29 MB
59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/008 Interpreting the Coefficients for Our Problem.mp4 24.77 MB
59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/012 Testing the Model We Created.mp4 31.6 MB
60 - Case Study - Loading the 'absenteeism_module'/002 Deploying the 'absenteeism_module' - Part I.mp4 19.64 MB
60 - Case Study - Loading the 'absenteeism_module'/003 Deploying the 'absenteeism_module' - Part II.mp4 45.15 MB
61 - Case Study - Analyzing the Predicted Outputs in Tableau/002 Analyzing Age vs Probability in Tableau.mp4 38.66 MB
61 - Case Study - Analyzing the Predicted Outputs in Tableau/004 Analyzing Reasons vs Probability in Tableau.mp4 40.24 MB
61 - Case Study - Analyzing the Predicted Outputs in Tableau/006 Analyzing Transportation Expense vs Probability in Tableau.mp4 19.78 MB
62 - Appendix - Additional Python Tools/001 Using the .format() Method.mp4 25.69 MB
62 - Appendix - Additional Python Tools/002 Iterating Over Range Objects.mp4 12.62 MB
62 - Appendix - Additional Python Tools/003 Introduction to Nested For Loops.mp4 12.13 MB
62 - Appendix - Additional Python Tools/004 Triple Nested For Loops.mp4 33 MB
62 - Appendix - Additional Python Tools/005 List Comprehensions.mp4 43.2 MB
62 - Appendix - Additional Python Tools/006 Anonymous (Lambda) Functions.mp4 30.34 MB
63 - Appendix - pandas Fundamentals/001 Introduction to pandas Series.mp4 22.21 MB
63 - Appendix - pandas Fundamentals/002 Working with Methods in Python - Part I.mp4 19.55 MB
63 - Appendix - pandas Fundamentals/003 Working with Methods in Python - Part II.mp4 9 MB
63 - Appendix - pandas Fundamentals/004 Parameters and Arguments in pandas.mp4 21.14 MB
63 - Appendix - pandas Fundamentals/005 Using .unique() and .nunique().mp4 24.29 MB
63 - Appendix - pandas Fundamentals/006 Using .sort_values().mp4 21.04 MB
63 - Appendix - pandas Fundamentals/007 Introduction to pandas DataFrames - Part I.mp4 10.61 MB
63 - Appendix - pandas Fundamentals/008 Introduction to pandas DataFrames - Part II.mp4 17.83 MB
63 - Appendix - pandas Fundamentals/009 pandas DataFrames - Common Attributes.mp4 29.79 MB
63 - Appendix - pandas Fundamentals/010 Data Selection in pandas DataFrames.mp4 37.26 MB
63 - Appendix - pandas Fundamentals/011 pandas DataFrames - Indexing with .iloc[].mp4 32.22 MB
63 - Appendix - pandas Fundamentals/012 pandas DataFrames - Indexing with .loc[].mp4 20.69 MB
64 - Appendix - Working with Text Files in Python/001 An Introduction to Working with Files in Python.mp4 12.03 MB
64 - Appendix - Working with Text Files in Python/002 File vs File Object, Reading vs Parsing Data.mp4 9.42 MB
64 - Appendix - Working with Text Files in Python/003 Structured, Semi-Structured and Unstructured Data.mp4 11.07 MB
64 - Appendix - Working with Text Files in Python/004 Text Files and Data Connectivity.mp4 10.81 MB
64 - Appendix - Working with Text Files in Python/005 Importing Data in Python - Principles.mp4 16.72 MB
64 - Appendix - Working with Text Files in Python/006 Plain Text Files, Flat Files and More.mp4 13.16 MB
64 - Appendix - Working with Text Files in Python/007 Text Files of Fixed Width.mp4 4.83 MB
64 - Appendix - Working with Text Files in Python/008 Common Naming Conventions.mp4 8.21 MB
64 - Appendix - Working with Text Files in Python/009 Importing Text Files - open().mp4 28.19 MB
64 - Appendix - Working with Text Files in Python/010 Importing Text Files - with open().mp4 26.26 MB
64 - Appendix - Working with Text Files in Python/011 Importing .csv Files - Part I.mp4 49.87 MB
64 - Appendix - Working with Text Files in Python/012 Importing .csv Files - Part II.mp4 10.92 MB
64 - Appendix - Working with Text Files in Python/013 Importing .csv Files - Part III.mp4 75.01 MB
64 - Appendix - Working with Text Files in Python/014 Importing Data with index_col.mp4 11.63 MB
64 - Appendix - Working with Text Files in Python/015 Importing Data with .loadtxt() and .genfromtxt().mp4 56.33 MB
64 - Appendix - Working with Text Files in Python/016 Importing Data - Partial Cleaning While Importing Data.mp4 43.91 MB
64 - Appendix - Working with Text Files in Python/018 Importing Data from .json Files.mp4 81.95 MB
64 - Appendix - Working with Text Files in Python/019 An Introduction to Working with Excel Files in Python.mp4 42.98 MB
64 - Appendix - Working with Text Files in Python/020 Working with Excel (.xlsx) Data.mp4 14.41 MB
64 - Appendix - Working with Text Files in Python/021 Importing Data in Python - an Important Exercise.mp4 43.01 MB
64 - Appendix - Working with Text Files in Python/022 Importing Data with the .squeeze() Method.mp4 22.42 MB
64 - Appendix - Working with Text Files in Python/023 Importing Files in Jupyter.mp4 19.57 MB
64 - Appendix - Working with Text Files in Python/024 Saving Your Data with pandas.mp4 21.06 MB
64 - Appendix - Working with Text Files in Python/025 Saving Your Data with NumPy - Part I - .npy.mp4 18.91 MB
64 - Appendix - Working with Text Files in Python/026 Saving Your Data with NumPy - Part II - .npz.mp4 23.26 MB
64 - Appendix - Working with Text Files in Python/027 Saving Your Data with NumPy - Part III - .csv.mp4 20.83 MB
64 - Appendix - Working with Text Files in Python/029 Working with Text Files in Python - Conclusion.mp4 2.11 MB
其他位置