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[GigaCourse.Com] Udemy - Complete Machine Learning with R Studio - ML for 2021
magnet:?xt=urn:btih:0d002469c6f8295ec8b03a22f6a0b53029b0af10&dn=[GigaCourse.Com] Udemy - Complete Machine Learning with R Studio - ML for 2021
磁力链接详情
Hash值:
0d002469c6f8295ec8b03a22f6a0b53029b0af10
点击数:
289
文件大小:
5.93 GB
文件数量:
115
创建日期:
2021-9-12 13:29
最后访问:
2024-6-27 03:47
访问标签:
GigaCourse
Com
Udemy
-
Complete
Machine
Learning
with
R
Studio
-
ML
for
2021
文件列表详情
01 Welcome to the course/001 Introduction.mp4 21.18 MB
02 Setting up R Studio and R crash course/001 Installing R and R studio.mp4 40.77 MB
02 Setting up R Studio and R crash course/002 This is a milestone!.mp4 20.69 MB
02 Setting up R Studio and R crash course/003 Basics of R and R studio.mp4 47.95 MB
02 Setting up R Studio and R crash course/004 Packages in R.mp4 98.48 MB
02 Setting up R Studio and R crash course/005 Inputting data part 1_ Inbuilt datasets of R.mp4 46.14 MB
02 Setting up R Studio and R crash course/006 Inputting data part 2_ Manual data entry.mp4 30.78 MB
02 Setting up R Studio and R crash course/007 Inputting data part 3_ Importing from CSV or Text files.mp4 68.96 MB
02 Setting up R Studio and R crash course/008 Creating Barplots in R.mp4 117.22 MB
02 Setting up R Studio and R crash course/009 Creating Histograms in R.mp4 51.34 MB
03 Basics of Statistics/001 Types of Data.mp4 21.75 MB
03 Basics of Statistics/002 Types of Statistics.mp4 10.93 MB
03 Basics of Statistics/003 Describing the data graphically.mp4 65.37 MB
03 Basics of Statistics/004 Measures of Centers.mp4 38.54 MB
03 Basics of Statistics/005 Measures of Dispersion.mp4 22.85 MB
04 Intorduction to Machine Learning/001 Introduction to Machine Learning.mp4 123.27 MB
04 Intorduction to Machine Learning/002 Building a Machine Learning Model.mp4 44.92 MB
05 Data Preprocessing for Regression Analysis/001 Gathering Business Knowledge.mp4 25.01 MB
05 Data Preprocessing for Regression Analysis/002 Data Exploration.mp4 23.3 MB
05 Data Preprocessing for Regression Analysis/003 The Data and the Data Dictionary.mp4 78.32 MB
05 Data Preprocessing for Regression Analysis/004 Importing the dataset into R.mp4 15.93 MB
05 Data Preprocessing for Regression Analysis/005 Univariate Analysis and EDD.mp4 27.2 MB
05 Data Preprocessing for Regression Analysis/006 EDD in R.mp4 111.99 MB
05 Data Preprocessing for Regression Analysis/007 Outlier Treatment.mp4 27.67 MB
05 Data Preprocessing for Regression Analysis/008 Outlier Treatment in R.mp4 37.83 MB
05 Data Preprocessing for Regression Analysis/009 Missing Value imputation.mp4 27.37 MB
05 Data Preprocessing for Regression Analysis/010 Missing Value imputation in R.mp4 31.7 MB
05 Data Preprocessing for Regression Analysis/011 Seasonality in Data.mp4 20.78 MB
05 Data Preprocessing for Regression Analysis/012 Bi-variate Analysis and Variable Transformation.mp4 113.07 MB
05 Data Preprocessing for Regression Analysis/013 Variable transformation in R.mp4 67.58 MB
05 Data Preprocessing for Regression Analysis/014 Non Usable Variables.mp4 23.73 MB
05 Data Preprocessing for Regression Analysis/015 Dummy variable creation_ Handling qualitative data.mp4 40.53 MB
05 Data Preprocessing for Regression Analysis/016 Dummy variable creation in R.mp4 52.22 MB
05 Data Preprocessing for Regression Analysis/017 Correlation Matrix and cause-effect relationship.mp4 80.84 MB
05 Data Preprocessing for Regression Analysis/018 Correlation Matrix in R.mp4 94.94 MB
06 Linear Regression Model/001 The problem statement.mp4 10.64 MB
06 Linear Regression Model/002 Basic equations and Ordinary Least Squared (OLS) method.mp4 49.92 MB
06 Linear Regression Model/003 Assessing Accuracy of predicted coefficients.mp4 103.87 MB
06 Linear Regression Model/004 Assessing Model Accuracy - RSE and R squared.mp4 49.52 MB
06 Linear Regression Model/005 Simple Linear Regression in R.mp4 50.46 MB
06 Linear Regression Model/006 Multiple Linear Regression.mp4 38.7 MB
06 Linear Regression Model/007 The F - statistic.mp4 63.83 MB
06 Linear Regression Model/008 Interpreting result for categorical Variable.mp4 26.94 MB
06 Linear Regression Model/009 Multiple Linear Regression in R.mp4 72.82 MB
06 Linear Regression Model/010 Test-Train split.mp4 48.75 MB
06 Linear Regression Model/011 Bias Variance trade-off.mp4 29.38 MB
06 Linear Regression Model/013 Test-Train Split in R.mp4 90.93 MB
07 Regression models other than OLS/001 Linear models other than OLS.mp4 19.02 MB
07 Regression models other than OLS/002 Subset Selection techniques.mp4 86.66 MB
07 Regression models other than OLS/003 Subset selection in R.mp4 76.59 MB
07 Regression models other than OLS/004 Shrinkage methods - Ridge Regression and The Lasso.mp4 38.44 MB
07 Regression models other than OLS/005 Ridge regression and Lasso in R.mp4 124.01 MB
08 Classification Models_ Data Preparation/001 The Data and the Data Dictionary.mp4 87.44 MB
08 Classification Models_ Data Preparation/002 Importing the dataset into R.mp4 16.31 MB
08 Classification Models_ Data Preparation/003 EDD in R.mp4 77.81 MB
08 Classification Models_ Data Preparation/004 Outlier Treatment in R.mp4 31.24 MB
08 Classification Models_ Data Preparation/005 Missing Value imputation in R.mp4 23.41 MB
08 Classification Models_ Data Preparation/006 Variable transformation in R.mp4 46.48 MB
08 Classification Models_ Data Preparation/007 Dummy variable creation in R.mp4 52.45 MB
09 The Three classification models/001 Three Classifiers and the problem statement.mp4 22.8 MB
09 The Three classification models/002 Why can't we use Linear Regression_.mp4 20.24 MB
10 Logistic Regression/001 Logistic Regression.mp4 38.81 MB
10 Logistic Regression/002 Training a Simple Logistic model in R.mp4 31 MB
10 Logistic Regression/003 Results of Simple Logistic Regression.mp4 30.9 MB
10 Logistic Regression/004 Logistic with multiple predictors.mp4 9.94 MB
10 Logistic Regression/005 Training multiple predictor Logistic model in R.mp4 18.28 MB
10 Logistic Regression/006 Confusion Matrix.mp4 26.55 MB
10 Logistic Regression/007 Evaluating Model performance.mp4 42.51 MB
10 Logistic Regression/008 Predicting probabilities, assigning classes and making Confusion Matrix in R.mp4 66.07 MB
11 Linear Discriminant Analysis/001 Linear Discriminant Analysis.mp4 48.38 MB
11 Linear Discriminant Analysis/002 Linear Discriminant Analysis in R.mp4 89.5 MB
12 K-Nearest Neighbors/001 Test-Train Split.mp4 45.37 MB
12 K-Nearest Neighbors/002 Test-Train Split in R.mp4 90.16 MB
12 K-Nearest Neighbors/003 K-Nearest Neighbors classifier.mp4 83.26 MB
12 K-Nearest Neighbors/004 K-Nearest Neighbors in R.mp4 79.65 MB
13 Comparing results from 3 models/001 Understanding the results of classification models.mp4 45.79 MB
13 Comparing results from 3 models/002 Summary of the three models.mp4 25.12 MB
14 Simple Decision Trees/001 Basics of Decision Trees.mp4 50.55 MB
14 Simple Decision Trees/002 Understanding a Regression Tree.mp4 52.16 MB
14 Simple Decision Trees/003 The stopping criteria for controlling tree growth.mp4 16.49 MB
14 Simple Decision Trees/004 The Data set for this part.mp4 41.95 MB
14 Simple Decision Trees/006 Importing the Data set into R.mp4 51.83 MB
14 Simple Decision Trees/007 Splitting Data into Test and Train Set in R.mp4 52.57 MB
14 Simple Decision Trees/008 Building a Regression Tree in R.mp4 121.87 MB
14 Simple Decision Trees/009 Pruning a tree.mp4 22.22 MB
14 Simple Decision Trees/010 Pruning a Tree in R.mp4 96.96 MB
15 Simple Classification Tree/001 Classification Trees.mp4 33.04 MB
15 Simple Classification Tree/002 The Data set for Classification problem.mp4 21.94 MB
15 Simple Classification Tree/003 Building a classification Tree in R.mp4 100.09 MB
15 Simple Classification Tree/004 Advantages and Disadvantages of Decision Trees.mp4 7.75 MB
16 Ensemble technique 1 - Bagging/001 Bagging.mp4 32.33 MB
16 Ensemble technique 1 - Bagging/002 Bagging in R.mp4 69.33 MB
17 Ensemble technique 2 - Random Forest/001 Random Forest technique.mp4 21.42 MB
17 Ensemble technique 2 - Random Forest/002 Random Forest in R.mp4 37.43 MB
18 Ensemble technique 3 - GBM, AdaBoost and XGBoost/001 Boosting techniques.mp4 34.36 MB
18 Ensemble technique 3 - GBM, AdaBoost and XGBoost/002 Gradient Boosting in R.mp4 78.56 MB
18 Ensemble technique 3 - GBM, AdaBoost and XGBoost/003 AdaBoosting in R.mp4 102.98 MB
18 Ensemble technique 3 - GBM, AdaBoost and XGBoost/004 XGBoosting in R.mp4 186.45 MB
19 Maximum Margin Classifier/001 Content flow.mp4 9.77 MB
19 Maximum Margin Classifier/002 The Concept of a Hyperplane.mp4 35.32 MB
19 Maximum Margin Classifier/003 Maximum Margin Classifier.mp4 26.16 MB
19 Maximum Margin Classifier/004 Limitations of Maximum Margin Classifier.mp4 12.51 MB
20 Support Vector Classifier/001 Support Vector classifiers.mp4 64.12 MB
20 Support Vector Classifier/002 Limitations of Support Vector Classifiers.mp4 12.97 MB
21 Support Vector Machines/001 Kernel Based Support Vector Machines.mp4 45.7 MB
22 Creating Support Vector Machine Model in R/001 The Data set for the Classification problem.mp4 21.98 MB
22 Creating Support Vector Machine Model in R/003 Importing Data into R.mp4 65.32 MB
22 Creating Support Vector Machine Model in R/004 Test-Train Split.mp4 59.36 MB
22 Creating Support Vector Machine Model in R/005 Classification SVM model using Linear Kernel.mp4 166.93 MB
22 Creating Support Vector Machine Model in R/006 Hyperparameter Tuning for Linear Kernel.mp4 70.43 MB
22 Creating Support Vector Machine Model in R/007 Polynomial Kernel with Hyperparameter Tuning.mp4 98.66 MB
22 Creating Support Vector Machine Model in R/008 Radial Kernel with Hyperparameter Tuning.mp4 67.37 MB
22 Creating Support Vector Machine Model in R/009 The Data set for the Regression problem.mp4 41.76 MB
22 Creating Support Vector Machine Model in R/010 SVM based Regression Model in R.mp4 124.01 MB
23 Conclusion/001 The final milestone!.mp4 11.86 MB
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