learn.kkinn.com - /Courses/Python/python.data.lynda-Python for Data Science Essential/

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 3/31/2017  1:39 PM     20755220 01-Welcome.mp4
 3/31/2017  1:39 PM      6009556 02-What you should know.mp4
 3/31/2017  1:39 PM      2396402 03-Getting started with Jupyter.mp4
 3/31/2017  1:39 PM       998036 04-Exercise files.mp4
 3/31/2017  1:39 PM     31368372 05-Filter and select data.mp4
 3/31/2017  1:39 PM     44862465 06-Treat missing values.mp4
 3/31/2017  1:39 PM     13257082 07-Remove duplicates.mp4
 3/31/2017  1:39 PM     24261926 08-Concatenate and transform data.mp4
 3/31/2017  1:39 PM      9687178 09-Group and aggregate data.mp4
 3/31/2017  1:39 PM     22063123 10-Create standard line, bar, and pie plots.mp4
 3/31/2017  1:39 PM     16952853 11-Define plot elements.mp4
 3/31/2017  1:39 PM     21690183 12-Format plots.mp4
 3/31/2017  1:39 PM     25989431 13-Create labels and annotations.mp4
 3/31/2017  1:39 PM     11987100 14-Create visualizations from time series data.mp4
 3/31/2017  1:39 PM     21948689 15-Construct histograms, box plots, and scatter plots.mp4
 3/31/2017  1:39 PM     20496171 16-Use NumPy arithmetic.mp4
 3/31/2017  1:39 PM     16661624 17-Generate summary statistics.mp4
 3/31/2017  1:39 PM     16514521 18-Summarize categorical data.mp4
 3/31/2017  1:39 PM     25952463 19-Parametric methods.mp4
 3/31/2017  1:39 PM     20425155 20-Non-parametric methods.mp4
 3/31/2017  1:39 PM     16534805 21-Transform dataset distributions.mp4
 3/16/2017  4:29 PM      8237760 22-Introduction to machine learning.mp4
 3/31/2017  1:39 PM     12350766 23-Explanatory factor analysis.mp4
 3/31/2017  1:39 PM     19927082 24-Principal component analysis (PCA).mp4
 3/31/2017  1:39 PM     16690825 25-Extreme value analysis using univariate methods.mp4
 3/31/2017  1:39 PM      5902763 26-Multivariate analysis for outlier detection.mp4
 3/31/2017  1:39 PM     15220191 27-A linear projection method for multivariate data.mp4
 3/31/2017  1:39 PM     23601705 28-K-means method.mp4
 3/31/2017  1:39 PM     24750504 29-Hierarchical methods.mp4
 3/31/2017  1:39 PM     18638404 30-Instance-based learning with k-Nearest Neighbor.mp4
 3/31/2017  1:39 PM      4679422 31-Intro to network analysis.mp4
 3/31/2017  1:39 PM     29874983 32-Work with graph objects.mp4
 3/31/2017  1:39 PM     18350120 33-Simulate a social network.mp4
 3/31/2017  1:39 PM     12541592 34-Generate stats on nodes and inspect graphs.mp4
 3/31/2017  1:39 PM     18837702 35-Linear regression model.mp4
 3/31/2017  1:39 PM     22879019 36-Logistic regression model.mp4
 3/31/2017  1:39 PM     22831152 37-Naïve Bayes classifiers.mp4
 3/31/2017  1:39 PM     38437585 38-Create basic charts.mp4
 3/16/2017  4:29 PM     21541653 39-Create statistical charts.mp4
 3/31/2017  1:39 PM     20782334 40-Create Plotly choropleth maps.mp4
 3/31/2017  1:39 PM     18490955 41-Create Plotly point maps.mp4
 3/31/2017  1:39 PM     25038737 42-Introduction to Beautiful Soup.mp4
 3/31/2017  1:39 PM     14300161 43-Explore NavigatableString objects.mp4
 3/31/2017  1:39 PM     21527179 44-Parse data.mp4
 3/31/2017  1:39 PM     14410413 45-Web scrape in practice.mp4
 3/16/2017  4:29 PM     13474995 46-Next steps.mp4