Abhinaba Banerjee's Projects
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Projects from the book "Approaching (Almost) Any Machine Learning Problem". Book github at https://github.com/abhishekkrthakur/approachingalmost
MLOps - End to End automated CI/CD pipeline for Continuous Deployment for Leaf Disease detection using Computer Vision
All Algorithms implemented in Python
Applied Machine Learning Explainability Techniques, published by Packt
Approaching (Almost) Any Machine Learning Problem
Exploratory analysis of Bayesian models with Python
This repo includes ChatGPT prompt curation to use ChatGPT better.
A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.
A topic-centric list of HQ open datasets.
A curated list of awesome remote jobs and resources. Inspired by https://github.com/vinta/awesome-python
Resources for the free AWS Data Engineering course on youtube
š A ranked list of awesome machine learning Python libraries. Updated weekly.
A list of Developer Community Writer Programs
Set of Jupyter Notebooks linked to Roboflow Blogpost and used in our YouTube videos.
This is code depository for my upcoming session. Will update details post the session
A Code-First Introduction to NLP course
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
List of Computer Science courses with video lectures.
Python script that automates CSV file imports to a postgres database
CUAD (NeurIPS 2021)
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
I have practiced Exploratory Data Analysis using some examples with help from the tutorial by Corey Schafer
Free Data Engineering course!
Data Science E-books, Interview Resources and Cheat-sheets
Data science interview questions with answers. Not ideally (yet)