A collection of tutorials I've written to explore various techniues for data science. Currently I'm working on the following:

• Python Visualization - Seaborn + Bokeh + Plotly (to be added)
• Python Distributed computing - How to reduce compute time When working with large datasets, specifically will explore pandas integration with dask, ray. Also we'll explore other tricks like parallelizing load operations using multi processing
• Gradient Boosting Algorithms - A powerfule yet less widely known ML tool
• Latent semantic Indexing