Building Machine Learning Models in Spark 2
File List
- 02.Machine Learning Packages spark.mllib vs. spark.ml/0210.Demo Wine Classification Using Decision Trees in spark.mllib.mp4 20.0 MB
- 04.Implementing Clustering and Dimensionality Reduction in Spark ML/0407.Demo Exploring Clusters.mp4 18.5 MB
- 03.Building Classification and Regression Models in Spark ML/0314.Demo Using ML Pipelines.mp4 15.4 MB
- 04.Implementing Clustering and Dimensionality Reduction in Spark ML/0409.Demo Regression Model Without PCA.mp4 15.3 MB
- 02.Machine Learning Packages spark.mllib vs. spark.ml/0212.Demo Decision Trees Using the LIBSVM Data Format.mp4 15.2 MB
- 04.Implementing Clustering and Dimensionality Reduction in Spark ML/0410.Demo Performing Regression on Principal Components.mp4 15.0 MB
- 04.Implementing Clustering and Dimensionality Reduction in Spark ML/0406.Demo K-means Clustering on the Titanic Dataset.mp4 13.6 MB
- 05.Building Recommendation Systems in Spark ML/0508.Demo Getting Movie Recommendations for Specific Users.mp4 10.9 MB
- 03.Building Classification and Regression Models in Spark ML/0313.Demo Income Classification Using Random Forests.mp4 10.7 MB
- 05.Building Recommendation Systems in Spark ML/0503.Estimating the Ratings Matrix.mp4 10.4 MB
- 04.Implementing Clustering and Dimensionality Reduction in Spark ML/0405.Number of Clusters as a Hyperparameter The Elbow and Silhouette Method.mp4 10.2 MB
- 05.Building Recommendation Systems in Spark ML/0505.Explicit and Implicit Ratings.mp4 9.3 MB
- 02.Machine Learning Packages spark.mllib vs. spark.ml/0205.Demo Spark 2 Installation and Working with Jupyter Notebooks.mp4 9.2 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/0320.Demo Hyperparameter Tuning.mp4 8.7 MB
- 03.Building Classification and Regression Models in Spark ML/0302.ML Pipelines, Estimators, and Transformers.mp4 8.7 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/0509.Demo Building a Recommendation System Using Implicit Ratings.mp4 8.5 MB
- 02.Machine Learning Packages spark.mllib vs. spark.ml/0208.Gini Impurity and Pros and Cons of Decision Trees.mp4 8.4 MB
- 05.Building Recommendation Systems in Spark ML/0507.Demo Building a Recommendation System Using Explicit Ratings.mp4 8.4 MB
- 04.Implementing Clustering and Dimensionality Reduction in Spark ML/0402.Supervised and Unsupervised Learning Techniques.mp4 8.3 MB
- 05.Building Recommendation Systems in Spark ML/0502.Content-based and Collaborative Filtering.mp4 8.0 MB
- Exercise Files/spark-2-building-machine-learning-models.zip 7.7 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/0316.Introducing Regularized Regression Models to Prevent Overfitting.mp4 7.4 MB
- 02.Machine Learning Packages spark.mllib vs. spark.ml/0207.Introducing Decision Trees.mp4 7.4 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/0319.Demo Predictions Using the Regression Model.mp4 7.1 MB
- 04.Implementing Clustering and Dimensionality Reduction in Spark ML/0408.Principal Component Analysis Intuition.mp4 6.8 MB
- 02.Machine Learning Packages spark.mllib vs. spark.ml/0206.spark.mllib vs. spark.ml.mp4 6.5 MB
- 03.Building Classification and Regression Models in Spark ML/0311.Demo The Decision Tree Classifier.mp4 6.1 MB
- 04.Implementing Clustering and Dimensionality Reduction in Spark ML/0403.Clustering Objectives.mp4 6.0 MB
- 03.Building Classification and Regression Models in Spark ML/0305.Feature Extractors.mp4 5.8 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/0209.Demo Basic Project Setup.mp4 5.2 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/0315.Demo Predictions Using the Random Forest .mp4 4.9 MB
- 03.Building Classification and Regression Models in Spark ML/0306.Feature Transformers.mp4 4.9 MB
- 01.Course Overview/0101.Course Overview.mp4 4.9 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/0310.Demo Converting Categorical Data to Numeric Values.mp4 4.7 MB
- 02.Machine Learning Packages spark.mllib vs. spark.ml/0202.Prerequisites and Course Overview.mp4 4.6 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/0304.Feature Engineering.mp4 3.2 MB
- 04.Implementing Clustering and Dimensionality Reduction in Spark ML/0404.Visualizing K-means Clustering.mp4 3.0 MB
- 05.Building Recommendation Systems in Spark ML/0511.Summary and Further Study.mp4 2.9 MB
- 04.Implementing Clustering and Dimensionality Reduction in Spark ML/0401.Module Overview.mp4 2.9 MB
- 05.Building Recommendation Systems in Spark ML/0504.The Alternating Least Squares Method.mp4 2.7 MB
- 02.Machine Learning Packages spark.mllib vs. spark.ml/0211.Demo Working with the LIBSVM Data Format.mp4 2.7 MB
- 05.Building Recommendation Systems in Spark ML/0506.Cold Start Strategies and Compute Intensity.mp4 2.7 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/0201.Module Overview.mp4 2.6 MB
- 03.Building Classification and Regression Models in Spark ML/0301.Module Overview.mp4 2.5 MB
- 05.Building Recommendation Systems in Spark ML/0501.Module Overview.mp4 1.8 MB
- 03.Building Classification and Regression Models in Spark ML/0307.Feature Selectors and Locality Sensitive Hashing.mp4 1.1 MB
Download Torrent
Related Resources
Copyright Infringement
If the content above is not authorized, please contact us via anywarmservice[AT]gmail.com. Remember to include the full url in your complaint.