Visual and Data Analytics Experiments

• This repository includes various separate problems solved with Visualizations and Machine Learning.
• Python Notebooks can be viewed in NBViewer. Python 3.6 used with Bokeh for visualisations.

Experiments include:

1. Global Population Analysis from gampminder.org
2. Sales Analysis at a chain or stores using K-Nearest Neighbours
3. Outlier Detection in Sales Data using K-Means Clustering and DBSCAN
4. Affect of diet on diseases. Finding Correlations using Pearson's Correlation Coefficient and P-values
5. Analysis of BrightKite and Gowalla Communication data-sets using K-Means
6. VAST Challenge 2015 MC1,MC2 and GC