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Frank Kane - Data Science and Machine Learning with Python

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File Name
Size
01 Getting Started/001 Introduction.mp4
44 MB
01 Getting Started/004 Python Basics, Part 1.mp4
44 MB
01 Getting Started/003 Activity Installing Enthought Canopy.mp4
33 MB
01 Getting Started/005 Activity Python Basics, Part 2.mp4
28 MB
01 Getting Started/002 Getting What You Need.mp4
25 MB
01 Getting Started/006 Running Python Scripts.mp4
22 MB
02 Statistics and Probability Refresher, and Python Practise/010 Exercise Conditional Probability.mp4
53 MB
02 Statistics and Probability Refresher, and Python Practise/009 Activity Covariance and Correlation.mp4
50 MB
02 Statistics and Probability Refresher, and Python Practise/008 Activity A Crash Course in matplotlib.mp4
49 MB
02 Statistics and Probability Refresher, and Python Practise/004 Activity Variation and Standard Deviation.mp4
46 MB
02 Statistics and Probability Refresher, and Python Practise/007 Activity Percentiles and Moments.mp4
43 MB
02 Statistics and Probability Refresher, and Python Practise/003 Activity Using mean, median, and mode in Python.mp4
39 MB
02 Statistics and Probability Refresher, and Python Practise/001 Types of Data.mp4
34 MB
02 Statistics and Probability Refresher, and Python Practise/012 Bayes Theorem.mp4
30 MB
02 Statistics and Probability Refresher, and Python Practise/002 Mean, Median, Mode.mp4
28 MB
02 Statistics and Probability Refresher, and Python Practise/006 Common Data Distributions.mp4
28 MB
02 Statistics and Probability Refresher, and Python Practise/011 Exercise Solution Conditional Probability of Purchase by Age.mp4
14 MB
02 Statistics and Probability Refresher, and Python Practise/005 Probability Density Function Probability Mass Function.mp4
12 MB
03 Predictive Models/001 Activity Linear Regression.mp4
41 MB
03 Predictive Models/003 Activity Multivariate Regression, and Predicting Car Prices.mp4
40 MB
03 Predictive Models/002 Activity Polynomial Regression.mp4
30 MB
03 Predictive Models/004 Multi-Level Models.mp4
24 MB
04 Machine Learning with Python/001 Supervised vs. Unsupervised Learning, and TrainTest.mp4
48 MB
04 Machine Learning with Python/008 Decision Trees Concepts.mp4
40 MB
04 Machine Learning with Python/009 Activity Decision Trees Predicting Hiring Decisions.mp4
38 MB
04 Machine Learning with Python/004 Activity Implementing a Spam Classifier with Naive Bayes.mp4
36 MB
04 Machine Learning with Python/010 Ensemble Learning.mp4
34 MB
04 Machine Learning with Python/005 K-Means Clustering.mp4
30 MB
04 Machine Learning with Python/006 Activity Clustering people based on income and age.mp4
24 MB
04 Machine Learning with Python/002 Activity Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4
22 MB
04 Machine Learning with Python/011 Support Vector Machines SVM Overview.mp4
22 MB
04 Machine Learning with Python/012 Activity Using SVM to cluster people using scikit-learn.mp4
21 MB
04 Machine Learning with Python/003 Bayesian Methods Concepts.mp4
19 MB
04 Machine Learning with Python/007 Measuring Entropy.mp4
18 MB
05 Recommender Systems/005 Activity Making Movie Recommendations to People.mp4
63 MB
05 Recommender Systems/003 Activity Finding Movie Similarities.mp4
48 MB
05 Recommender Systems/006 Exercise Improve the recommenders results.mp4
46 MB
05 Recommender Systems/004 Activity Improving the Results of Movie Similarities.mp4
44 MB
05 Recommender Systems/001 User-Based Collaborative Filtering.mp4
37 MB
05 Recommender Systems/002 Item-Based Collaborative Filtering.mp4
34 MB
06 More Data Mining and Machine Learning Techniques/006 Reinforcement Learning.mp4
64 MB
06 More Data Mining and Machine Learning Techniques/002 Activity Using KNN to predict a rating for a movie.mp4
59 MB
06 More Data Mining and Machine Learning Techniques/005 Data Warehousing Overview ETL and ELT.mp4
54 MB
06 More Data Mining and Machine Learning Techniques/004 Activity PCA Example with the Iris data set.mp4
53 MB
06 More Data Mining and Machine Learning Techniques/003 Dimensionality Reduction Principal Component Analysis.mp4
36 MB
06 More Data Mining and Machine Learning Techniques/001 K-Nearest-Neighbors Concepts.mp4
20 MB
07 Dealing with Real-World Data/004 Activity Cleaning web log data.mp4
60 MB
07 Dealing with Real-World Data/002 Activity K-Fold Cross-Validation to avoid overfitting.mp4
46 MB
07 Dealing with Real-World Data/006 Activity Detecting outliers.mp4
39 MB
07 Dealing with Real-World Data/003 Data Cleaning and Normalization.mp4
32 MB
07 Dealing with Real-World Data/001 BiasVariance Tradeoff.mp4
31 MB
07 Dealing with Real-World Data/005 Normalizing numerical data.mp4
19 MB
08 Apache Spark Machine Learning on Big Data/006 Activity Decision Trees in Spark.mp4
88 MB
08 Apache Spark Machine Learning on Big Data/002 Activity Installing Spark - Part 2.mp4
82 MB
08 Apache Spark Machine Learning on Big Data/007 Activity K-Means Clustering in Spark.mp4
63 MB
08 Apache Spark Machine Learning on Big Data/009 Activity Searching Wikipedia with Spark.mp4
60 MB
08 Apache Spark Machine Learning on Big Data/004 Spark and the Resilient Distributed Dataset RDD.mp4
36 MB
08 Apache Spark Machine Learning on Big Data/003 Spark Introduction.mp4
32 MB
08 Apache Spark Machine Learning on Big Data/008 TF IDF.mp4
32 MB
08 Apache Spark Machine Learning on Big Data/005 Introducing MLLib.mp4
26 MB
09 Experimental Design/005 AB Test Gotchas.mp4
44 MB
09 Experimental Design/001 AB Testing Concepts.mp4
43 MB
09 Experimental Design/003 Activity Hands-on With T-Tests.mp4
40 MB
09 Experimental Design/002 T-Tests and P-Values.mp4
30 MB
09 Experimental Design/004 Determining How Long to Run an Experiment.mp4
17 MB
10 You made it/001 More to Explore.mp4
45 MB
10 You made it/002 Bonus Lecture Discounts on Focused MapReduce and Spark Courses..mp4
33 MB