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001 AB Testing Concepts.mp4 |
42.69MB |
001 Activity Linear Regression.mp4 |
41.08MB |
001 BiasVariance Tradeoff.mp4 |
31.23MB |
001 Introduction.mp4 |
43.99MB |
001 K-Nearest-Neighbors Concepts.mp4 |
19.90MB |
001 More to Explore.mp4 |
45.14MB |
001 Supervised vs. Unsupervised Learning, and TrainTest.mp4 |
47.80MB |
001 Types of Data.mp4 |
34.11MB |
001 User-Based Collaborative Filtering.mp4 |
36.81MB |
002 Activity Installing Spark - Part 2.mp4 |
81.68MB |
002 Activity K-Fold Cross-Validation to avoid overfitting.mp4 |
45.87MB |
002 Activity Polynomial Regression.mp4 |
29.78MB |
002 Activity Using KNN to predict a rating for a movie.mp4 |
59.21MB |
002 Activity Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4 |
22.02MB |
002 Bonus Lecture Discounts on Focused MapReduce and Spark Courses..mp4 |
33.44MB |
002 Getting What You Need.mp4 |
25.22MB |
002 Item-Based Collaborative Filtering.mp4 |
33.56MB |
002 Mean, Median, Mode.mp4 |
28.17MB |
002 T-Tests and P-Values.mp4 |
30.11MB |
003 Activity Finding Movie Similarities.mp4 |
48.48MB |
003 Activity Hands-on With T-Tests.mp4 |
40.06MB |
003 Activity Installing Enthought Canopy.mp4 |
33.42MB |
003 Activity Multivariate Regression, and Predicting Car Prices.mp4 |
40.07MB |
003 Activity Using mean, median, and mode in Python.mp4 |
38.99MB |
003 Bayesian Methods Concepts.mp4 |
19.41MB |
003 Data Cleaning and Normalization.mp4 |
31.90MB |
003 Dimensionality Reduction Principal Component Analysis.mp4 |
35.67MB |
003 Spark Introduction.mp4 |
32.46MB |
004 Activity Cleaning web log data.mp4 |
60.16MB |
004 Activity Implementing a Spam Classifier with Naive Bayes.mp4 |
36.48MB |
004 Activity Improving the Results of Movie Similarities.mp4 |
43.98MB |
004 Activity PCA Example with the Iris data set.mp4 |
53.31MB |
004 Activity Variation and Standard Deviation.mp4 |
45.62MB |
004 Determining How Long to Run an Experiment.mp4 |
16.68MB |
004 Multi-Level Models.mp4 |
23.66MB |
004 Python Basics, Part 1.mp4 |
43.97MB |
004 Spark and the Resilient Distributed Dataset RDD.mp4 |
36.41MB |
005 AB Test Gotchas.mp4 |
43.78MB |
005 Activity Making Movie Recommendations to People.mp4 |
63.25MB |
005 Activity Python Basics, Part 2.mp4 |
28.46MB |
005 Data Warehousing Overview ETL and ELT.mp4 |
54.11MB |
005 Introducing MLLib.mp4 |
26.27MB |
005 K-Means Clustering.mp4 |
30.30MB |
005 Normalizing numerical data.mp4 |
19.02MB |
005 Probability Density Function Probability Mass Function.mp4 |
12.35MB |
006 Activity Clustering people based on income and age.mp4 |
23.98MB |
006 Activity Decision Trees in Spark.mp4 |
88.24MB |
006 Activity Detecting outliers.mp4 |
39.04MB |
006 Common Data Distributions.mp4 |
27.67MB |
006 Exercise Improve the recommenders results.mp4 |
45.85MB |
006 Reinforcement Learning.mp4 |
63.56MB |
006 Running Python Scripts.mp4 |
21.57MB |
007 Activity K-Means Clustering in Spark.mp4 |
62.85MB |
007 Activity Percentiles and Moments.mp4 |
42.98MB |
007 Measuring Entropy.mp4 |
17.48MB |
008 Activity A Crash Course in matplotlib.mp4 |
49.28MB |
008 Decision Trees Concepts.mp4 |
39.72MB |
008 TF IDF.mp4 |
32.20MB |
009 Activity Covariance and Correlation.mp4 |
49.78MB |
009 Activity Decision Trees Predicting Hiring Decisions.mp4 |
38.23MB |
009 Activity Searching Wikipedia with Spark.mp4 |
59.76MB |
010 Ensemble Learning.mp4 |
33.70MB |
010 Exercise Conditional Probability.mp4 |
52.81MB |
011 Exercise Solution Conditional Probability of Purchase by Age.mp4 |
14.09MB |
011 Support Vector Machines SVM Overview.mp4 |
21.77MB |
012 Activity Using SVM to cluster people using scikit-learn.mp4 |
20.84MB |
012 Bayes Theorem.mp4 |
30.13MB |