Statistical-Time-Series-Analysis-on-Agricultural-Commodity-Prices

This project aims to understand trends in agricultural prices through quantity arrival data for different commodities in state of Maharashtra, India.

Coursera-Data-Plotting

Solutions of Assignments completed by me of Applied Data Science with Python specialization from the University of Michigan on Coursera.

Principle-Component-Analysis

PCA is a technique to convert high dimensional data to low dimensions by removing insignificant variables in a dataset and thus decreasing redundancy. Application of this statistical method can be seen here on a sample gait data as well as on my Gait Analysis Research Project which will be uploaded soon.