PushBT Magnet/Torrent

Categories

Recommend Tools

  • Convert torrent to magnet
  • Convert torrent to magnet

fileBuilding chine Learning Models in Spark 2

Building chine Learning Models Spark
  • MP401.Course Overview.mp44.89MB
  • MP402.chine Learning Packages spark.mllib vs. spark.ml\\/0201.Module Overview.mp42.59MB
  • MP402.chine Learning Packages spark.mllib vs. spark.ml\\/0202.Prerequisites and Course Overview.mp44.55MB
  • MP402.chine Learning Packages spark.mllib vs. spark.ml\\/0203.RDDs The Building Blocks of Spark.mp45.63MB
  • MP402.chine Learning Packages spark.mllib vs. spark.ml\\/0204.Datafr<x>ames in Spark 2.mp42.62MB
  • MP402.chine Learning Packages spark.mllib vs. spark.ml\\/0205.Demo Spark 2 Installation and Working with Jupyter Notebooks.mp49.19MB
  • MP402.chine Learning Packages spark.mllib vs. spark.ml\\/0206.spark.mllib vs. spark.ml.mp46.50MB
  • MP402.chine Decision Trees.mp47.43MB
  • MP402.chine Learning Packages spark.mllib vs. spark.ml\\/0208.Gini Impurity and Pros and Cons of Decision Trees.mp48.45MB
  • MP402.chine Learning Packages spark.mllib vs. spark.ml\\/0209.Demo Basic Project Setup.mp45.23MB
  • MP402.chine Learning Packages spark.mllib vs. spark.ml\\/0210.Demo Wine Classification Using Decision Trees in spark.mllib.mp419.99MB
  • MP402.chine Learning Packages spark.mllib vs. spark.ml\\/0211.Demo Working with the LIBSVM Data Fort.mp42.68MB
  • MP402.chine Learning Packages spark.mllib vs. spark.ml\\/0212.Demo Decision Trees Using the LIBSVM Data Fort.mp415.21MB
  • MP403.Building Classification and Regression Models in Spark ML\\/0301.Module Overview.mp42.46MB
  • MP403.Building Classification and Regression Models in Spark ML\\/0302.ML Pipelines Estitors and Transformers.mp48.69MB
  • MP403.Building Classification and Regression Models in Spark ML\\/0303.Training and Prediction Pipeline Stages.mp44.83MB
  • MP403.Building Classification and Regression Models in Spark ML\\/0304.Feature Engineering.mp43.24MB
  • MP403.Building Classification and Regression Models in Spark ML\\/0305.Feature Extractors.mp45.80MB
  • MP403.Building Classification and Regression Models in Spark ML\\/0306.Feature Transformers.mp44.91MB
  • MP403.Building Classification and Regression Models in Spark ML\\/0307.Feature Selectors and Locality Sensitive Hashing.mp41.15MB
  • MP403.Building Classification and Regression Models in Spark ML\\/0308.The Confusion trix Accuracy Precision Recall F1 Score.mp47.42MB
  • MP403.Building Classification and Regression Models in Spark ML\\/0309.Demo Wine Classification Using Decision Trees in Spark ML.mp47.49MB
  • MP403.Building Classification and Regression Models in Spark ML\\/0310.Demo Converting Categorical Data to Numeric Values.mp44.72MB
  • MP403.Building Classification and Regression Models in Spark ML\\/0311.Demo The Decision Tree Classifier.mp46.13MB
  • MP403.Building Classification and Regression Models in Spark ML\\/0312.Random Forests.mp45.01MB
  • MP403.Building Classification and Regression Models in Spark ML\\/0313.Demo Income Classification Using Random Forests.mp410.70MB
  • MP403.Building Classification and Regression Models in Spark ML\\/0314.Demo Using ML Pipelines.mp415.45MB
  • MP403.Building Classification and Regression Models in Spark ML\\/0315.Demo Predictions Using the Random Forest .mp44.93MB
  • MP403.Building Regularized Regression Models to Prevent Overfitting.mp47.43MB
  • MP403.Building Classification and Regression Models in Spark ML\\/0317.Lasso and Ridge Regression.mp44.01MB
  • MP403.Building Classification and Regression Models in Spark ML\\/0318.Demo Linear Regression with the Elastic Net Param.mp48.97MB
  • MP403.Building Classification and Regression Models in Spark ML\\/0319.Demo Predictions Using the Regression Model.mp47.06MB
  • MP403.Building Classification and Regression Models in Spark ML\\/0320.Demo Hyperparameter Tuning.mp48.72MB
  • MP404.Implementing Clustering and Dimensionality Reduction in Spark ML\\/0401.Module Overview.mp42.88MB
  • MP404.Implementing Clustering and Dimensionality Reduction in Spark ML\\/0402.Supervised and Unsupervised Learning Techniques.mp48.30MB
  • MP404.Implementing Clustering and Dimensionality Reduction in Spark ML\\/0403.Clustering ob<x>jectives.mp45.97MB
  • MP404.Implementing Clustering and Dimensionality Reduction in Spark ML\\/0404.Visualizing K-means Clustering.mp43.01MB
  • MP404.Implementing Clustering and Dimensionality Reduction in Spark ML\\/0405.Number of Clusters as a Hyperparameter The Elbow and Silhouette Method.mp410.22MB
  • MP404.Implementing Clustering and Dimensionality Reduction in Spark ML\\/0406.Demo K-means Clustering on the Titanic Dataset.mp413.56MB
  • MP404.Implementing Clustering and Dimensionality Reduction in Spark ML\\/0407.Demo Exploring Clusters.mp418.50MB
  • MP404.Implementing Clustering and Dimensionality Reduction in Spark ML\\/0408.Principal Component Analysis Intuition.mp46.84MB
  • MP404.Implementing Clustering and Dimensionality Reduction in Spark ML\\/0409.Demo Regression Model Without PCA.mp415.32MB
  • MP404.Implementing Clustering and Dimensionality Reduction in Spark ML\\/0410.Demo Performing Regression on Principal Components.mp414.97MB
  • MP405.Building Recommendation Systems in Spark ML\\/0501.Module Overview.mp41.79MB
  • MP405.Building and Collaborative Filtering.mp48.00MB
  • MP405.Building Recommendation Systems in Spark ML\\/0503.Estiting the Ratings trix.mp410.41MB
  • MP405.Building Recommendation Systems in Spark ML\\/0504.The Alternating Least Squares Method.mp42.69MB
  • MP405.Building Recommendation Systems in Spark ML\\/0505.Explicit and Implicit Ratings.mp49.32MB
  • MP405.Building Start Strategies and Compute Intensity.mp42.67MB
  • MP405.Building Recommendation Systems in Spark ML\\/0507.Demo Building a Recommendation System Using Explicit Ratings.mp48.35MB
  • MP405.Building Recommendation Systems in Spark ML\\/0508.Demo Getting Movie Recommendations for Specific Users.mp410.86MB
  • MP405.Building Recommendation Systems in Spark ML\\/0509.Demo Building a Recommendation System Using Implicit Ratings.mp48.53MB
  • MP405.Building Recommendation Systems in Spark ML\\/0510.Demo Getting Artist Recommendations for Specific Users.mp48.66MB
  • MP405.Building Recommendation Systems in Spark ML\\/0511.Sumry and Further Study.mp42.94MB
  • ZIPExercise Files\\/spark-2-building-chine-learning-models.zip7.74MB
Latest Search: 1.IDBD-359   2.MIBD-697   3.ONSD-187   4.BNDV-00666   5.ELO-209   6.TBD-033   7.MIBD-723   8.HITMA-55   9.KIBD-084   10.NOV-2389   11.PBD-153   12.RKI-251   13.VEQ-016   14.SCF-041   15.GQR-68   16.ASW-115   17.TDLN-143   18.DKSW-279   19.BTMB-002   20.SBB-145   21.KWBD-086   22.DKYF-24   23.JUSD-266   24.OKAD-337   25.KWBD-059   26.MXSPS-165   27.MIBD-741   28.RKI-239   29.ONSD-613   30.SS-019   31.KWBD-037   32.MXSPS-025   33.DJSF-123   34.ONSD-569   35.RKI-194   36.RKI-041   37.ATAD-057   38.GAR-286   39.DKSW-119   40.SEX-002   41.KWBD-079   42.FAA-011   43.HBAD-093   44.APAA-165   45.WANZ-048   46.IPZ-118   47.OAE-066   48.BNDV-00558   49.PZD-009   50.ZEX-147   51.TKMIDE-015   52.VGQ-002   53.OED-10023   54.IELE-002   55.XS-2303   56.SAMA-224   57.GCLD-001   58.FAAD-015   59.DSKM-022   60.KTDVR-223   61.KT-505   62.SD-815   63.NCHD-003   64.RUI-001   65.MBD-078   66.RE-410   67.MMV-096   68.VNDS-2624   69.CS-1109   70.RD-426   71.024   72.001   73.031   74.005   75.356   76.496   77.356   78.016   79.045   80.007   81.017   82.028   83.138   84.581   85.78   86.084   87.98   88.020   89.192   90.115   91.   92.6   93.584   94.341   95.471   96.020   97.913   98.109   99.144   100.688   101.155   102.659   103.07   104.56534   105.220   106.013   107.162   108.257   109.348   110.089   111.081   112.031   113.124   114.567   115.281   116.260   117.0248   118.003   119.007   120.216   121.0139   122.095   123.890   124.010   125.147   126.118   127.001   128.385   129.027   130.1363   131.315   132.082   133.049   134.038   135.634   136.297   137.050   138.018   139.726   140.111