Jupyter notebooks and Python code for analyzing air quality (fine particle, PM2.5)

Data preprocessing is a data mining technique that involves transforming raw data into an understandable format.

Touched Prof. Widom (from Stanford university) jupyter notebooks on bigdata with python

Data Science notebooks and report

This Notebook Recommends Restaurants based on correlation

Analysis of US Census Data. Process outlined in jupyter notebooks.

This is a Kaggle task inspired notebook: exploring correlation + bonus trying ppscore package

This Notebook Recommends Movies by finding correlation based on user rating of each movie

In this notebook, I practiced building different types of recommender systems using the Pandas library and various machine learning algorithms.

Analysis of Air Quality in India before and after COVID-19 lock down. Implemented using Python (Jupyter Notebook). *Complete project report contained in word document - SDS Project.docx

In this Notebook, I analyze the following five semiconductor stocks: HD, INTC, AMD, MU, NVDA, and TSM. Then, I choose the stock with the least correlation to JNJ in order to diversify a portfolio. The data was generated using the GOOGLEFINANCE historical market data script.

Package with many useful helpers for making data science being even more enjoyable. It provides utility functions, computational routines, visualizations, etc. for exploratory analysis, classification, regression, etc. along with examples in jupyter notebooks.

In 2021 twenty five colleges have teams in both the men's and women's NCAA D-1 basketball tournament. How correlated are the strengths of men's and women's teams? There are two Jupiter notebooks investigating the relationship.