Building Machine Learning Models in Spark | 0076874403CE91A058A9FFD8E0630C55C3A8F61E

Building Machine Learning Models in Spark

Name	Building Machine Learning Models in Spark 2	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	425.3 MB
Total Files	55
Hash	0076874403CE91A058A9FFD8E0630C55C3A8F61E

/02.Machine Learning Packages spark.mllib vs. spark.ml/
0210.Demo Wine Classification Using Decision Trees in spark.mllib.mp4	21.0 MB
0201.Module Overview.mp4	2.7 MB
0202.Prerequisites and Course Overview.mp4	4.8 MB
0203.RDDs The Building Blocks of Spark.mp4	5.9 MB
0204.DataFrames in Spark 2.mp4	2.7 MB
0205.Demo Spark 2 Installation and Working with Jupyter Notebooks.mp4	9.6 MB
0206.spark.mllib vs. spark.ml.mp4	6.8 MB
0207.Introducing Decision Trees.mp4	7.8 MB
0208.Gini Impurity and Pros and Cons of Decision Trees.mp4	8.9 MB
0209.Demo Basic Project Setup.mp4	5.5 MB
0211.Demo Working with the LIBSVM Data Format.mp4	2.8 MB
0212.Demo Decision Trees Using the LIBSVM Data Format.mp4	16.0 MB
/01.Course Overview/
0101.Course Overview.mp4	5.1 MB
/03.Building Classification and Regression Models in Spark ML/
0301.Module Overview.mp4	2.6 MB
0302.ML Pipelines, Estimators, and Transformers.mp4	9.1 MB
0303.Training and Prediction Pipeline Stages.mp4	5.1 MB
0304.Feature Engineering.mp4	3.4 MB
0305.Feature Extractors.mp4	6.1 MB
0306.Feature Transformers.mp4	5.2 MB
0307.Feature Selectors and Locality Sensitive Hashing.mp4	1.2 MB
0308.The Confusion Matrix Accuracy, Precision, Recall, F1 Score.mp4	7.8 MB
0309.Demo Wine Classification Using Decision Trees in Spark ML.mp4	7.9 MB
0310.Demo Converting Categorical Data to Numeric Values.mp4	5.0 MB
0311.Demo The Decision Tree Classifier.mp4	6.4 MB
0312.Random Forests.mp4	5.3 MB
0313.Demo Income Classification Using Random Forests.mp4	11.2 MB
0314.Demo Using ML Pipelines.mp4	16.2 MB
0315.Demo Predictions Using the Random Forest .mp4	5.2 MB
0316.Introducing Regularized Regression Models to Prevent Overfitting.mp4	7.8 MB
0317.Lasso and Ridge Regression.mp4	4.2 MB
0318.Demo Linear Regression with the Elastic Net Param.mp4	9.4 MB
0319.Demo Predictions Using the Regression Model.mp4	7.4 MB
0320.Demo Hyperparameter Tuning.mp4	9.1 MB
/04.Implementing Clustering and Dimensionality Reduction in Spark ML/
0401.Module Overview.mp4	3.0 MB
0402.Supervised and Unsupervised Learning Techniques.mp4	8.7 MB
0403.Clustering Objectives.mp4	6.3 MB
0404.Visualizing K-means Clustering.mp4	3.2 MB
0405.Number of Clusters as a Hyperparameter The Elbow and Silhouette Method.mp4	10.7 MB
0406.Demo K-means Clustering on the Titanic Dataset.mp4	14.2 MB
0407.Demo Exploring Clusters.mp4	19.4 MB
0408.Principal Component Analysis Intuition.mp4	7.2 MB
0409.Demo Regression Model Without PCA.mp4	16.1 MB
0410.Demo Performing Regression on Principal Components.mp4	15.7 MB
/05.Building Recommendation Systems in Spark ML/
0501.Module Overview.mp4	1.9 MB
0502.Content-based and Collaborative Filtering.mp4	8.4 MB
0503.Estimating the Ratings Matrix.mp4	10.9 MB
0504.The Alternating Least Squares Method.mp4	2.8 MB
0505.Explicit and Implicit Ratings.mp4	9.8 MB
0506.Cold Start Strategies and Compute Intensity.mp4	2.8 MB
0507.Demo Building a Recommendation System Using Explicit Ratings.mp4	8.8 MB
0508.Demo Getting Movie Recommendations for Specific Users.mp4	11.4 MB
0509.Demo Building a Recommendation System Using Implicit Ratings.mp4	8.9 MB
0510.Demo Getting Artist Recommendations for Specific Users.mp4	9.1 MB
0511.Summary and Further Study.mp4	3.1 MB
/Exercise Files/
spark-2-building-machine-learning-models.zip	8.1 MB
Total files 55