 Pluralsight - Building Machine Learning Models in Spark 2
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Code:
Title: Building Machine Learning Models in Spark 2
Publisher: Pluralsight
Size: 405 MB
Type: N/A
URL: https://www.pluralsight.com/courses/spark-2-building-machine-learning-models
Author: Janani Ravi
Duration: 3h 27m
Skill: Intermediate
Screens
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39 |
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Other/Tutorials
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| 405.6 MB |
Building Machine Learning Models in Spark 2
01.Course Overview
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0101.Course Overview.mp4 (4.9 MB)
02.Machine Learning Packages spark.mllib vs. spark.ml
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0201.Module Overview.mp4 (2.6 MB)
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0202.Prerequisites and Course Overview.mp4 (4.6 MB)
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0203.RDDs The Building Blocks of Spark.mp4 (5.6 MB)
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0204.DataFrames in Spark 2.mp4 (2.6 MB)
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0205.Demo Spark 2 Installation and Working with Jupyter Notebooks.mp4 (9.2 MB)
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0206.spark.mllib vs. spark.ml.mp4 (6.5 MB)
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0207.Introducing Decision Trees.mp4 (7.4 MB)
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0208.Gini Impurity and Pros and Cons of Decision Trees.mp4 (8.4 MB)
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0209.Demo Basic Project Setup.mp4 (5.2 MB)
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0210.Demo Wine Classification Using Decision Trees in spark.mllib.mp4 (20.0 MB)
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0211.Demo Working with the LIBSVM Data Format.mp4 (2.7 MB)
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0212.Demo Decision Trees Using the LIBSVM Data Format.mp4 (15.2 MB)
03.Building Classification and Regression Models in Spark ML
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0301.Module Overview.mp4 (2.5 MB)
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0302.ML Pipelines, Estimators, and Transformers.mp4 (8.7 MB)
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0303.Training and Prediction Pipeline Stages.mp4 (4.8 MB)
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0304.Feature Engineering.mp4 (3.2 MB)
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0305.Feature Extractors.mp4 (5.8 MB)
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0306.Feature Transformers.mp4 (4.9 MB)
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0307.Feature Selectors and Locality Sensitive Hashing.mp4 (1.1 MB)
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0308.The Confusion Matrix Accuracy, Precision, Recall, F1 Score.mp4 (7.4 MB)
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0309.Demo Wine Classification Using Decision Trees in Spark ML.mp4 (7.5 MB)
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0310.Demo Converting Categorical Data to Numeric Values.mp4 (4.7 MB)
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0311.Demo The Decision Tree Classifier.mp4 (6.1 MB)
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0312.Random Forests.mp4 (5.0 MB)
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0313.Demo Income Classification Using Random Forests.mp4 (10.7 MB)
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0314.Demo Using ML Pipelines.mp4 (15.4 MB)
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0315.Demo Predictions Using the Random Forest .mp4 (4.9 MB)
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0316.Introducing Regularized Regression Models to Prevent Overfitting.mp4 (7.4 MB)
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0317.Lasso and Ridge Regression.mp4 (4.0 MB)
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0318.Demo Linear Regression with the Elastic Net Param.mp4 (9.0 MB)
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0319.Demo Predictions Using the Regression Model.mp4 (7.1 MB)
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0320.Demo Hyperparameter Tuning.mp4 (8.7 MB)
04.Implementing Clustering and Dimensionality Reduction in Spark ML
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0401.Module Overview.mp4 (2.9 MB)
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0402.Supervised and Unsupervised Learning Techniques.mp4 (8.3 MB)
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0403.Clustering Objectives.mp4 (6.0 MB)
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0404.Visualizing K-means Clustering.mp4 (3.0 MB)
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0405.Number of Clusters as a Hyperparameter The Elbow and Silhouette Method.mp4 (10.2 MB)
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0406.Demo K-means Clustering on the Titanic Dataset.mp4 (13.6 MB)
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0407.Demo Exploring Clusters.mp4 (18.5 MB)
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0408.Principal Component Analysis Intuition.mp4 (6.8 MB)
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0409.Demo Regression Model Without PCA.mp4 (15.3 MB)
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0410.Demo Performing Regression on Principal Components.mp4 (15.0 MB)
05.Building Recommendation Systems in Spark ML
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0501.Module Overview.mp4 (1.8 MB)
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0502.Content-based and Collaborative Filtering.mp4 (8.0 MB)
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0503.Estimating the Ratings Matrix.mp4 (10.4 MB)
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0504.The Alternating Least Squares Method.mp4 (2.7 MB)
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0505.Explicit and Implicit Ratings.mp4 (9.3 MB)
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0506.Cold Start Strategies and Compute Intensity.mp4 (2.7 MB)
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0507.Demo Building a Recommendation System Using Explicit Ratings.mp4 (8.4 MB)
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0508.Demo Getting Movie Recommendations for Specific Users.mp4 (10.9 MB)
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0509.Demo Building a Recommendation System Using Implicit Ratings.mp4 (8.5 MB)
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0510.Demo Getting Artist Recommendations for Specific Users.mp4 (8.7 MB)
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0511.Summary and Further Study.mp4 (2.9 MB)
Exercise Files
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spark-2-building-machine-learning-models.zip (7.7 MB)
files
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| 2018-07-16 03:05:11 |
| English |
| Seeders : 12 , Leechers : 14 |
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Pluralsight Spark 2 |
| Pluralsight - Building Machine Learning Models in Spark 2 |
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