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Building Machine Learning Models in Spark 2

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File Name
Size
01.Course Overview/0101.Course Overview.mp4
4.9 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0201.Module Overview.mp4
2.6 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0202.Prerequisites and Course Overview.mp4
4.6 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0203.RDDs The Building Blocks of Spark.mp4
5.6 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0204.DataFrames in Spark 2.mp4
2.6 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0205.Demo Spark 2 Installation and Working with Jupyter Notebooks.mp4
9.2 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
7.4 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0208.Gini Impurity and Pros and Cons of Decision Trees.mp4
8.4 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0209.Demo Basic Project Setup.mp4
5.2 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0210.Demo Wine Classification Using Decision Trees in spark.mllib.mp4
20 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0211.Demo Working with the LIBSVM Data Format.mp4
2.7 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0212.Demo Decision Trees Using the LIBSVM Data Format.mp4
15 MB
03.Building Classification and Regression Models in Spark ML/0301.Module Overview.mp4
2.5 MB
03.Building Classification and Regression Models in Spark ML/0302.ML Pipelines, Estimators, and Transformers.mp4
8.7 MB
03.Building Classification and Regression Models in Spark ML/0303.Training and Prediction Pipeline Stages.mp4
4.8 MB
03.Building Classification and Regression Models in Spark ML/0304.Feature Engineering.mp4
3.2 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
4.9 MB
03.Building Classification and Regression Models in Spark ML/0307.Feature Selectors and Locality Sensitive Hashing.mp4
1.1 MB
03.Building Classification and Regression Models in Spark ML/0308.The Confusion Matrix Accuracy, Precision, Recall, F1 Score.mp4
7.4 MB
03.Building Classification and Regression Models in Spark ML/0309.Demo Wine Classification Using Decision Trees in Spark ML.mp4
7.5 MB
03.Building Classification and Regression Models in Spark ML/0310.Demo Converting Categorical Data to Numeric Values.mp4
4.7 MB
03.Building Classification and Regression Models in Spark ML/0311.Demo The Decision Tree Classifier.mp4
6.1 MB
03.Building Classification and Regression Models in Spark ML/0312.Random Forests.mp4
5.0 MB
03.Building Classification and Regression Models in Spark ML/0313.Demo Income Classification Using Random Forests.mp4
11 MB
03.Building Classification and Regression Models in Spark ML/0314.Demo Using ML Pipelines.mp4
15 MB
03.Building Classification and Regression Models in Spark ML/0315.Demo Predictions Using the Random Forest .mp4
4.9 MB
03.Building Classification and Regression Models in Spark ML/0316.Introducing Regularized Regression Models to Prevent Overfitting.mp4
7.4 MB
03.Building Classification and Regression Models in Spark ML/0317.Lasso and Ridge Regression.mp4
4.0 MB
03.Building Classification and Regression Models in Spark ML/0318.Demo Linear Regression with the Elastic Net Param.mp4
9.0 MB
03.Building Classification and Regression Models in Spark ML/0319.Demo Predictions Using the Regression Model.mp4
7.1 MB
03.Building Classification and Regression Models in Spark ML/0320.Demo Hyperparameter Tuning.mp4
8.7 MB
04.Implementing Clustering and Dimensionality Reduction in Spark ML/0401.Module Overview.mp4
2.9 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
6.0 MB
04.Implementing Clustering and Dimensionality Reduction in Spark ML/0404.Visualizing K-means Clustering.mp4
3.0 MB
04.Implementing Clustering and Dimensionality Reduction in Spark ML/0405.Number of Clusters as a Hyperparameter The Elbow and Silhouette Method.mp4
10 MB
04.Implementing Clustering and Dimensionality Reduction in Spark ML/0406.Demo K-means Clustering on the Titanic Dataset.mp4
14 MB
04.Implementing Clustering and Dimensionality Reduction in Spark ML/0407.Demo Exploring Clusters.mp4
18 MB
04.Implementing Clustering and Dimensionality Reduction in Spark ML/0408.Principal Component Analysis Intuition.mp4
6.8 MB
04.Implementing Clustering and Dimensionality Reduction in Spark ML/0409.Demo Regression Model Without PCA.mp4
15 MB
04.Implementing Clustering and Dimensionality Reduction in Spark ML/0410.Demo Performing Regression on Principal Components.mp4
15 MB
05.Building Recommendation Systems in Spark ML/0501.Module Overview.mp4
1.8 MB
05.Building Recommendation Systems in Spark ML/0502.Content-based and Collaborative Filtering.mp4
8.0 MB
05.Building Recommendation Systems in Spark ML/0503.Estimating the Ratings Matrix.mp4
10 MB
05.Building Recommendation Systems in Spark ML/0504.The Alternating Least Squares Method.mp4
2.7 MB
05.Building Recommendation Systems in Spark ML/0505.Explicit and Implicit Ratings.mp4
9.3 MB
05.Building Recommendation Systems in Spark ML/0506.Cold Start Strategies and Compute Intensity.mp4
2.7 MB
05.Building Recommendation Systems in Spark ML/0507.Demo Building a Recommendation System Using Explicit Ratings.mp4
8.4 MB
05.Building Recommendation Systems in Spark ML/0508.Demo Getting Movie Recommendations for Specific Users.mp4
11 MB
05.Building Recommendation Systems in Spark ML/0509.Demo Building a Recommendation System Using Implicit Ratings.mp4
8.5 MB
05.Building Recommendation Systems in Spark ML/0510.Demo Getting Artist Recommendations for Specific Users.mp4
8.7 MB
05.Building Recommendation Systems in Spark ML/0511.Summary and Further Study.mp4
2.9 MB
Exercise Files/spark-2-building-machine-learning-models.zip
7.7 MB