Neil (Shantanil) Bagchi's repositories
SQL-for-DataScience-Coursera
Notes, Solutions, and my implementation from Coursera's SQL for Data Science course: https://www.coursera.org/learn/sql-for-data-science
awesome-feature-engineering
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
shantanilbagchi.github.io
Personal Portfolio
databricks-sql
Material for Databricks SQL
Excel-Skills-Business-Specialisation
Repository for Excel Skills with Business Specialisation by Coursera
Excel_for_Everybody
Personal Notes from various Excel courses taken on Coursera
Feature-Selection-for-Machine-Learning
Methods with examples for Feature Selection during Pre-processing in Machine Learning.
Hackathons_Notebooks
My Notebooks from participating Hackathons
Python-programming-exercises
100+ Python challenging programming exercises
Deep_Learning_Bootcamp
All the learning material for deep learning bootcamp can be found in this repository
Feature-Selection
Features selector based on the self selected-algorithm, loss function and validation method
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
MachineLearning
My solutions to the complete Machine Learning Course by Andrew Ng on Coursera
MachineLearningHackathons
Hackathon_Solutions
ShantanilBagchi
Shantanil Bagchi Portfolio