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
Building Machine Learning Models in Spark 2
magnet:?xt=urn:btih:a6a4e83e38b99033b196dbce5a7a4e84172ede98&dn=Building Machine Learning Models in Spark 2
磁力链接详情
Hash值:
a6a4e83e38b99033b196dbce5a7a4e84172ede98
点击数:
64
文件大小:
397.87 MB
文件数量:
54
创建日期:
2018-8-4 05:52
最后访问:
2025-1-22 14:43
访问标签:
Building
Machine
Learning
Models
in
Spark
2
文件列表详情
01.Course Overview/0101.Course Overview.mp4 4.89 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0201.Module Overview.mp4 2.59 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0202.Prerequisites and Course Overview.mp4 4.55 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0203.RDDs The Building Blocks of Spark.mp4 5.63 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0204.DataFrames in Spark 2.mp4 2.62 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0205.Demo Spark 2 Installation and Working with Jupyter Notebooks.mp4 9.19 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0206.spark.mllib vs. spark.ml.mp4 6.5 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0207.Introducing Decision Trees.mp4 7.43 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0208.Gini Impurity and Pros and Cons of Decision Trees.mp4 8.45 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0209.Demo Basic Project Setup.mp4 5.23 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0210.Demo Wine Classification Using Decision Trees in spark.mllib.mp4 19.99 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0211.Demo Working with the LIBSVM Data Format.mp4 2.68 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0212.Demo Decision Trees Using the LIBSVM Data Format.mp4 15.21 MB
03.Building Classification and Regression Models in Spark ML/0301.Module Overview.mp4 2.46 MB
03.Building Classification and Regression Models in Spark ML/0302.ML Pipelines, Estimators, and Transformers.mp4 8.69 MB
03.Building Classification and Regression Models in Spark ML/0303.Training and Prediction Pipeline Stages.mp4 4.83 MB
03.Building Classification and Regression Models in Spark ML/0304.Feature Engineering.mp4 3.24 MB
03.Building Classification and Regression Models in Spark ML/0305.Feature Extractors.mp4 5.8 MB
03.Building Classification and Regression Models in Spark ML/0306.Feature Transformers.mp4 4.91 MB
03.Building Classification and Regression Models in Spark ML/0307.Feature Selectors and Locality Sensitive Hashing.mp4 1.15 MB
03.Building Classification and Regression Models in Spark ML/0308.The Confusion Matrix Accuracy, Precision, Recall, F1 Score.mp4 7.42 MB
03.Building Classification and Regression Models in Spark ML/0309.Demo Wine Classification Using Decision Trees in Spark ML.mp4 7.49 MB
03.Building Classification and Regression Models in Spark ML/0310.Demo Converting Categorical Data to Numeric Values.mp4 4.72 MB
03.Building Classification and Regression Models in Spark ML/0311.Demo The Decision Tree Classifier.mp4 6.13 MB
03.Building Classification and Regression Models in Spark ML/0312.Random Forests.mp4 5.01 MB
03.Building Classification and Regression Models in Spark ML/0313.Demo Income Classification Using Random Forests.mp4 10.7 MB
03.Building Classification and Regression Models in Spark ML/0314.Demo Using ML Pipelines.mp4 15.45 MB
03.Building Classification and Regression Models in Spark ML/0315.Demo Predictions Using the Random Forest .mp4 4.93 MB
03.Building Classification and Regression Models in Spark ML/0316.Introducing Regularized Regression Models to Prevent Overfitting.mp4 7.43 MB
03.Building Classification and Regression Models in Spark ML/0317.Lasso and Ridge Regression.mp4 4.01 MB
03.Building Classification and Regression Models in Spark ML/0318.Demo Linear Regression with the Elastic Net Param.mp4 8.97 MB
03.Building Classification and Regression Models in Spark ML/0319.Demo Predictions Using the Regression Model.mp4 7.06 MB
03.Building Classification and Regression Models in Spark ML/0320.Demo Hyperparameter Tuning.mp4 8.72 MB
04.Implementing Clustering and Dimensionality Reduction in Spark ML/0401.Module Overview.mp4 2.88 MB
04.Implementing Clustering and Dimensionality Reduction in Spark ML/0402.Supervised and Unsupervised Learning Techniques.mp4 8.3 MB
04.Implementing Clustering and Dimensionality Reduction in Spark ML/0403.Clustering Objectives.mp4 5.97 MB
04.Implementing Clustering and Dimensionality Reduction in Spark ML/0404.Visualizing K-means Clustering.mp4 3.01 MB
04.Implementing Clustering and Dimensionality Reduction in Spark ML/0405.Number of Clusters as a Hyperparameter The Elbow and Silhouette Method.mp4 10.22 MB
04.Implementing Clustering and Dimensionality Reduction in Spark ML/0406.Demo K-means Clustering on the Titanic Dataset.mp4 13.56 MB
04.Implementing Clustering and Dimensionality Reduction in Spark ML/0407.Demo Exploring Clusters.mp4 18.5 MB
04.Implementing Clustering and Dimensionality Reduction in Spark ML/0408.Principal Component Analysis Intuition.mp4 6.84 MB
04.Implementing Clustering and Dimensionality Reduction in Spark ML/0409.Demo Regression Model Without PCA.mp4 15.32 MB
04.Implementing Clustering and Dimensionality Reduction in Spark ML/0410.Demo Performing Regression on Principal Components.mp4 14.97 MB
05.Building Recommendation Systems in Spark ML/0501.Module Overview.mp4 1.79 MB
05.Building Recommendation Systems in Spark ML/0502.Content-based and Collaborative Filtering.mp4 8 MB
05.Building Recommendation Systems in Spark ML/0503.Estimating the Ratings Matrix.mp4 10.41 MB
05.Building Recommendation Systems in Spark ML/0504.The Alternating Least Squares Method.mp4 2.69 MB
05.Building Recommendation Systems in Spark ML/0505.Explicit and Implicit Ratings.mp4 9.32 MB
05.Building Recommendation Systems in Spark ML/0506.Cold Start Strategies and Compute Intensity.mp4 2.67 MB
05.Building Recommendation Systems in Spark ML/0507.Demo Building a Recommendation System Using Explicit Ratings.mp4 8.35 MB
05.Building Recommendation Systems in Spark ML/0508.Demo Getting Movie Recommendations for Specific Users.mp4 10.86 MB
05.Building Recommendation Systems in Spark ML/0509.Demo Building a Recommendation System Using Implicit Ratings.mp4 8.53 MB
05.Building Recommendation Systems in Spark ML/0510.Demo Getting Artist Recommendations for Specific Users.mp4 8.66 MB
05.Building Recommendation Systems in Spark ML/0511.Summary and Further Study.mp4 2.94 MB
其他位置