This repo is intended to store all my IPython Notebooks. Most projects here are also hosted on my personal blog/ portfolio at https://adityakamath.com where you can read my writeup explaining the code and follow along by downloading the .ipynb file. Project topics include Machine Learning, Optimization, Web Scraping and Visualization. The project descriptions are provided below.

In this post, I explore the basic use of the Pandas libaray in Python and how you can use it to manipulate datasets and create quick visualizations.

I recreate the popular Gapminder World data visualization using Bokeh's Python library for interactive plotting.

I explore another intractive plotting Library in Python called Plotly. I write a script that downloads updated coin prices and plots them.

My rendition of the Dijkstra's Algorithm scripted in Python.

I model and solve a multi-period manufacturing scheduling problem using a Python library called PuLP for linear programming. I then visualize the results using the Seaborn library.

In this post, I apply Hierarchical Clustering and K-Means Clustering algorithms in order to explore the possibility of creating better product families from a dataset that contains product demand data.

If you have any questions or suggestions regarding my projects, or any suggestions or shoif you want to just reach out then hit me up at [email protected] or Tweet me @aditya_kamath.