Frank Kane Data Science and Machine Learning with Python | 902047CE076DB105EB3629622C6BB88DDC5DF5FC

Frank Kane Data Science and Machine Learning with Python

Name	Frank Kane - Data Science and Machine Learning with Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	2.7 GB
Total Files	67
Hash	902047CE076DB105EB3629622C6BB88DDC5DF5FC

/01 Getting Started/
001 Introduction.mp4	46.1 MB
002 Getting What You Need.mp4	26.4 MB
003 Activity Installing Enthought Canopy.mp4	35.0 MB
004 Python Basics, Part 1.mp4	46.1 MB
005 Activity Python Basics, Part 2.mp4	29.8 MB
006 Running Python Scripts.mp4	22.6 MB
/02 Statistics and Probability Refresher, and Python Practise/
001 Types of Data.mp4	35.8 MB
002 Mean, Median, Mode.mp4	29.5 MB
003 Activity Using mean, median, and mode in Python.mp4	40.9 MB
004 Activity Variation and Standard Deviation.mp4	47.8 MB
005 Probability Density Function Probability Mass Function.mp4	13.0 MB
006 Common Data Distributions.mp4	29.0 MB
007 Activity Percentiles and Moments.mp4	45.1 MB
008 Activity A Crash Course in matplotlib.mp4	51.7 MB
009 Activity Covariance and Correlation.mp4	52.2 MB
010 Exercise Conditional Probability.mp4	55.4 MB
011 Exercise Solution Conditional Probability of Purchase by Age.mp4	14.8 MB
012 Bayes Theorem.mp4	31.6 MB
/03 Predictive Models/
001 Activity Linear Regression.mp4	43.1 MB
002 Activity Polynomial Regression.mp4	31.2 MB
003 Activity Multivariate Regression, and Predicting Car Prices.mp4	42.0 MB
004 Multi-Level Models.mp4	24.8 MB
/04 Machine Learning with Python/
001 Supervised vs. Unsupervised Learning, and TrainTest.mp4	50.1 MB
002 Activity Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4	23.1 MB
003 Bayesian Methods Concepts.mp4	20.4 MB
004 Activity Implementing a Spam Classifier with Naive Bayes.mp4	38.3 MB
005 K-Means Clustering.mp4	31.8 MB
006 Activity Clustering people based on income and age.mp4	25.1 MB
007 Measuring Entropy.mp4	18.3 MB
008 Decision Trees Concepts.mp4	41.6 MB
009 Activity Decision Trees Predicting Hiring Decisions.mp4	40.1 MB
010 Ensemble Learning.mp4	35.3 MB
011 Support Vector Machines SVM Overview.mp4	22.8 MB
012 Activity Using SVM to cluster people using scikit-learn.mp4	21.9 MB
/05 Recommender Systems/
001 User-Based Collaborative Filtering.mp4	38.6 MB
002 Item-Based Collaborative Filtering.mp4	35.2 MB
003 Activity Finding Movie Similarities.mp4	50.8 MB
004 Activity Improving the Results of Movie Similarities.mp4	46.1 MB
005 Activity Making Movie Recommendations to People.mp4	66.3 MB
006 Exercise Improve the recommenders results.mp4	48.1 MB
/06 More Data Mining and Machine Learning Techniques/
001 K-Nearest-Neighbors Concepts.mp4	20.9 MB
002 Activity Using KNN to predict a rating for a movie.mp4	62.1 MB
003 Dimensionality Reduction Principal Component Analysis.mp4	37.4 MB
004 Activity PCA Example with the Iris data set.mp4	55.9 MB
005 Data Warehousing Overview ETL and ELT.mp4	56.7 MB
006 Reinforcement Learning.mp4	66.6 MB
/07 Dealing with Real-World Data/
001 BiasVariance Tradeoff.mp4	32.7 MB
002 Activity K-Fold Cross-Validation to avoid overfitting.mp4	48.1 MB
003 Data Cleaning and Normalization.mp4	33.5 MB
004 Activity Cleaning web log data.mp4	63.1 MB
005 Normalizing numerical data.mp4	19.9 MB
006 Activity Detecting outliers.mp4	40.9 MB
/08 Apache Spark Machine Learning on Big Data/
002 Activity Installing Spark - Part 2.mp4	85.6 MB
003 Spark Introduction.mp4	34.0 MB
004 Spark and the Resilient Distributed Dataset RDD.mp4	38.2 MB
005 Introducing MLLib.mp4	27.5 MB
006 Activity Decision Trees in Spark.mp4	92.5 MB
007 Activity K-Means Clustering in Spark.mp4	65.9 MB
008 TF IDF.mp4	33.8 MB
009 Activity Searching Wikipedia with Spark.mp4	62.7 MB
/09 Experimental Design/
001 AB Testing Concepts.mp4	44.8 MB
002 T-Tests and P-Values.mp4	31.6 MB
003 Activity Hands-on With T-Tests.mp4	42.0 MB
004 Determining How Long to Run an Experiment.mp4	17.5 MB
005 AB Test Gotchas.mp4	45.9 MB
/10 You made it/
001 More to Explore.mp4	47.3 MB
002 Bonus Lecture Discounts on Focused MapReduce and Spark Courses..mp4	35.1 MB
Total files 67