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Building Machine Learning Models in Spark 2

  • 收录时间:2019-07-04 18:47:21
  • 文件大小:406MB
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文件列表

  1. 02.Machine Learning Packages spark.mllib vs. spark.ml/0210.Demo Wine Classification Using Decision Trees in spark.mllib.mp4 20MB
  2. 04.Implementing Clustering and Dimensionality Reduction in Spark ML/0407.Demo Exploring Clusters.mp4 18MB
  3. 03.Building Classification and Regression Models in Spark ML/0314.Demo Using ML Pipelines.mp4 15MB
  4. 04.Implementing Clustering and Dimensionality Reduction in Spark ML/0409.Demo Regression Model Without PCA.mp4 15MB
  5. 02.Machine Learning Packages spark.mllib vs. spark.ml/0212.Demo Decision Trees Using the LIBSVM Data Format.mp4 15MB
  6. 04.Implementing Clustering and Dimensionality Reduction in Spark ML/0410.Demo Performing Regression on Principal Components.mp4 15MB
  7. 04.Implementing Clustering and Dimensionality Reduction in Spark ML/0406.Demo K-means Clustering on the Titanic Dataset.mp4 14MB
  8. 05.Building Recommendation Systems in Spark ML/0508.Demo Getting Movie Recommendations for Specific Users.mp4 11MB
  9. 03.Building Classification and Regression Models in Spark ML/0313.Demo Income Classification Using Random Forests.mp4 11MB
  10. 05.Building Recommendation Systems in Spark ML/0503.Estimating the Ratings Matrix.mp4 10MB
  11. 04.Implementing Clustering and Dimensionality Reduction in Spark ML/0405.Number of Clusters as a Hyperparameter The Elbow and Silhouette Method.mp4 10MB
  12. 05.Building Recommendation Systems in Spark ML/0505.Explicit and Implicit Ratings.mp4 9MB
  13. 02.Machine Learning Packages spark.mllib vs. spark.ml/0205.Demo Spark 2 Installation and Working with Jupyter Notebooks.mp4 9MB
  14. 03.Building Classification and Regression Models in Spark ML/0318.Demo Linear Regression with the Elastic Net Param.mp4 9MB
  15. 03.Building Classification and Regression Models in Spark ML/0320.Demo Hyperparameter Tuning.mp4 9MB
  16. 03.Building Classification and Regression Models in Spark ML/0302.ML Pipelines, Estimators, and Transformers.mp4 9MB
  17. 05.Building Recommendation Systems in Spark ML/0510.Demo Getting Artist Recommendations for Specific Users.mp4 9MB
  18. 05.Building Recommendation Systems in Spark ML/0509.Demo Building a Recommendation System Using Implicit Ratings.mp4 9MB
  19. 02.Machine Learning Packages spark.mllib vs. spark.ml/0208.Gini Impurity and Pros and Cons of Decision Trees.mp4 8MB
  20. 05.Building Recommendation Systems in Spark ML/0507.Demo Building a Recommendation System Using Explicit Ratings.mp4 8MB
  21. 04.Implementing Clustering and Dimensionality Reduction in Spark ML/0402.Supervised and Unsupervised Learning Techniques.mp4 8MB
  22. 05.Building Recommendation Systems in Spark ML/0502.Content-based and Collaborative Filtering.mp4 8MB
  23. Exercise Files/spark-2-building-machine-learning-models.zip 8MB
  24. 03.Building Classification and Regression Models in Spark ML/0309.Demo Wine Classification Using Decision Trees in Spark ML.mp4 7MB
  25. 03.Building Classification and Regression Models in Spark ML/0316.Introducing Regularized Regression Models to Prevent Overfitting.mp4 7MB
  26. 02.Machine Learning Packages spark.mllib vs. spark.ml/0207.Introducing Decision Trees.mp4 7MB
  27. 03.Building Classification and Regression Models in Spark ML/0308.The Confusion Matrix Accuracy, Precision, Recall, F1 Score.mp4 7MB
  28. 03.Building Classification and Regression Models in Spark ML/0319.Demo Predictions Using the Regression Model.mp4 7MB
  29. 04.Implementing Clustering and Dimensionality Reduction in Spark ML/0408.Principal Component Analysis Intuition.mp4 7MB
  30. 02.Machine Learning Packages spark.mllib vs. spark.ml/0206.spark.mllib vs. spark.ml.mp4 6MB
  31. 03.Building Classification and Regression Models in Spark ML/0311.Demo The Decision Tree Classifier.mp4 6MB
  32. 04.Implementing Clustering and Dimensionality Reduction in Spark ML/0403.Clustering Objectives.mp4 6MB
  33. 03.Building Classification and Regression Models in Spark ML/0305.Feature Extractors.mp4 6MB
  34. 02.Machine Learning Packages spark.mllib vs. spark.ml/0203.RDDs The Building Blocks of Spark.mp4 6MB
  35. 02.Machine Learning Packages spark.mllib vs. spark.ml/0209.Demo Basic Project Setup.mp4 5MB
  36. 03.Building Classification and Regression Models in Spark ML/0312.Random Forests.mp4 5MB
  37. 03.Building Classification and Regression Models in Spark ML/0315.Demo Predictions Using the Random Forest .mp4 5MB
  38. 03.Building Classification and Regression Models in Spark ML/0306.Feature Transformers.mp4 5MB
  39. 01.Course Overview/0101.Course Overview.mp4 5MB
  40. 03.Building Classification and Regression Models in Spark ML/0303.Training and Prediction Pipeline Stages.mp4 5MB
  41. 03.Building Classification and Regression Models in Spark ML/0310.Demo Converting Categorical Data to Numeric Values.mp4 5MB
  42. 02.Machine Learning Packages spark.mllib vs. spark.ml/0202.Prerequisites and Course Overview.mp4 5MB
  43. 03.Building Classification and Regression Models in Spark ML/0317.Lasso and Ridge Regression.mp4 4MB
  44. 03.Building Classification and Regression Models in Spark ML/0304.Feature Engineering.mp4 3MB
  45. 04.Implementing Clustering and Dimensionality Reduction in Spark ML/0404.Visualizing K-means Clustering.mp4 3MB
  46. 05.Building Recommendation Systems in Spark ML/0511.Summary and Further Study.mp4 3MB
  47. 04.Implementing Clustering and Dimensionality Reduction in Spark ML/0401.Module Overview.mp4 3MB
  48. 05.Building Recommendation Systems in Spark ML/0504.The Alternating Least Squares Method.mp4 3MB
  49. 02.Machine Learning Packages spark.mllib vs. spark.ml/0211.Demo Working with the LIBSVM Data Format.mp4 3MB
  50. 05.Building Recommendation Systems in Spark ML/0506.Cold Start Strategies and Compute Intensity.mp4 3MB
  51. 02.Machine Learning Packages spark.mllib vs. spark.ml/0204.DataFrames in Spark 2.mp4 3MB
  52. 02.Machine Learning Packages spark.mllib vs. spark.ml/0201.Module Overview.mp4 3MB
  53. 03.Building Classification and Regression Models in Spark ML/0301.Module Overview.mp4 2MB
  54. 05.Building Recommendation Systems in Spark ML/0501.Module Overview.mp4 2MB
  55. 03.Building Classification and Regression Models in Spark ML/0307.Feature Selectors and Locality Sensitive Hashing.mp4 1MB