Download Pluralsight - Building Machine Learning Models in Spark 2 Torrent

Torrent Contents Size: 405.6 MB

Pluralsight - Building Machine Learning Models in Spark 2

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0101.Course Overview.mp4	MP4	4.9 MB
0201.Module Overview.mp4	MP4	2.6 MB
0202.Prerequisites and Course Overview.mp4	MP4	4.6 MB
0203.RDDs The Building Blocks of Spark.mp4	MP4	5.6 MB
0204.DataFrames in Spark 2.mp4	MP4	2.6 MB
0205.Demo Spark 2 Installation and Working with Jupyter Notebooks.mp4	MP4	9.2 MB
0206.spark.mllib vs. spark.ml.mp4	MP4	6.5 MB
0207.Introducing Decision Trees.mp4	MP4	7.4 MB
0208.Gini Impurity and Pros and Cons of Decision Trees.mp4	MP4	8.4 MB
0209.Demo Basic Project Setup.mp4	MP4	5.2 MB
0210.Demo Wine Classification Using Decision Trees in spark.mllib.mp4	MP4	20 MB
0211.Demo Working with the LIBSVM Data Format.mp4	MP4	2.7 MB
0212.Demo Decision Trees Using the LIBSVM Data Format.mp4	MP4	15.2 MB
0301.Module Overview.mp4	MP4	2.5 MB
0302.ML Pipelines, Estimators, and Transformers.mp4	MP4	8.7 MB
0303.Training and Prediction Pipeline Stages.mp4	MP4	4.8 MB
0304.Feature Engineering.mp4	MP4	3.2 MB
0305.Feature Extractors.mp4	MP4	5.8 MB
0306.Feature Transformers.mp4	MP4	4.9 MB
0307.Feature Selectors and Locality Sensitive Hashing.mp4	MP4	1.1 MB
0308.The Confusion Matrix Accuracy, Precision, Recall, F1 Score.mp4	MP4	7.4 MB
0309.Demo Wine Classification Using Decision Trees in Spark ML.mp4	MP4	7.5 MB
0310.Demo Converting Categorical Data to Numeric Values.mp4	MP4	4.7 MB
0311.Demo The Decision Tree Classifier.mp4	MP4	6.1 MB
0312.Random Forests.mp4	MP4	5 MB
0313.Demo Income Classification Using Random Forests.mp4	MP4	10.7 MB
0314.Demo Using ML Pipelines.mp4	MP4	15.4 MB
0315.Demo Predictions Using the Random Forest .mp4	MP4	4.9 MB
0316.Introducing Regularized Regression Models to Prevent Overfitting.mp4	MP4	7.4 MB
0317.Lasso and Ridge Regression.mp4	MP4	4 MB
0318.Demo Linear Regression with the Elastic Net Param.mp4	MP4	9 MB
0319.Demo Predictions Using the Regression Model.mp4	MP4	7.1 MB
0320.Demo Hyperparameter Tuning.mp4	MP4	8.7 MB
0401.Module Overview.mp4	MP4	2.9 MB
0402.Supervised and Unsupervised Learning Techniques.mp4	MP4	8.3 MB
0403.Clustering Objectives.mp4	MP4	6 MB
0404.Visualizing K-means Clustering.mp4	MP4	3 MB
0405.Number of Clusters as a Hyperparameter The Elbow and Silhouette Method.mp4	MP4	10.2 MB
0406.Demo K-means Clustering on the Titanic Dataset.mp4	MP4	13.6 MB
0407.Demo Exploring Clusters.mp4	MP4	18.5 MB
0408.Principal Component Analysis Intuition.mp4	MP4	6.8 MB
0409.Demo Regression Model Without PCA.mp4	MP4	15.3 MB
0410.Demo Performing Regression on Principal Components.mp4	MP4	15 MB
0501.Module Overview.mp4	MP4	1.8 MB
0502.Content-based and Collaborative Filtering.mp4	MP4	8 MB
0503.Estimating the Ratings Matrix.mp4	MP4	10.4 MB
0504.The Alternating Least Squares Method.mp4	MP4	2.7 MB
0505.Explicit and Implicit Ratings.mp4	MP4	9.3 MB
0506.Cold Start Strategies and Compute Intensity.mp4	MP4	2.7 MB
0507.Demo Building a Recommendation System Using Explicit Ratings.mp4	MP4	8.4 MB
0508.Demo Getting Movie Recommendations for Specific Users.mp4	MP4	10.9 MB
0509.Demo Building a Recommendation System Using Implicit Ratings.mp4	MP4	8.5 MB
0510.Demo Getting Artist Recommendations for Specific Users.mp4	MP4	8.7 MB
0511.Summary and Further Study.mp4	MP4	2.9 MB
spark-2-building-machine-learning-models.zip	ZIP	7.7 MB

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Pluralsight - Building Machine Learning Models in Spark 2

Torrent Contents Size: 405.6 MB

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