Data Science Portfolio

Python • Data Science • Machine Learning

Technical Notes

Hello! I'm Rakesh Bhatia, and welcome to my portfolio. I'm a freelance Python programmer who specializes in web scraping, data entry, and data extraction. I also have extensive experience with using spreadsheets for data analysis. My passion for working with data inspired me to create this website with a variety of technical notes and projects on python, data science, machine learning, and more. Check out all of my posts below!

Python

• Sets
• Loops
• If Else
• Strings
• Dictionaries
• Linked Lists
• Pandas Basics
• List Comprehension
• Exception Handling

Web Scraping

• Beautiful Soup Basics
• Scrapy Basics
• Scrape Proxy Table with Pandas
• Scrape Free Proxies with Selenium
• Get Domain Information with WHOIS
• Scrape Crypto Prices with Selenium
• Scrape Historical OHLC Stock Prices
• Scrape Fanduel NBA Player Stats with Scrapy
• Scrape NBA Player RPM Stats from ESPN with lxml
• Scrape NBA Player Game Logs from ESPN with lxml
• Scrape CalBar with Selenium and Beautiful Soup - Part 1
• Scrape Stock Options Data with BeautifulSoup and Embedded JSON

Data Science

• Preparing Data
• Fixing Assumptions
• Home Credit Default Risk Analysis
• Analysis of Boston House Prices
• House Prices Advanced Regression Techniques
• In Sample Evaluation and Cross Validation
• Iterate and Evaluate a Naive Bayes Classifier
• Author Prediction Unsupervised NLP with BoW

Data Engineering

• Plotting S Parameter Distributions with Matplotlib
• Plotting Current and Gain Distributions with Matplotlib

To reach out about freelancing opportunities, feel free to contact me at any of the links below:

Upwork profile

LinkedIn profile

Copyright © Rakesh Bhatia, 2022. All notes available on GitHub.