Sayan Putatunda's repositories
algorithms
Minimal examples of data structures and algorithms in Python
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
awesome-investing
💸💸 Curated list of investment & finance related resources
Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
chatgpt-prompt-course
code for https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
Covid-19-Patient-Health-Analytics
A Boosted Random Forest Classification model was implemented to predict the outcome of the CoV-2 positive patients in China. Based on multiple features.
cs231n.github.io
Public facing notes page
CS234-Reinforcement-Learning-Winter-2019
My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019
CTGAN
Conditional GAN for generating synthetic tabular data.
Data-Structures-and-Algorithms
Data Structures and Algorithms in Python
deeplearning-models
A collection of various deep learning architectures, models, and tips
DSAlgo
📚A repository that contains all the Data Structures and Algorithms concepts and solutions to various problems in Python3 stored in a structured manner.👨💻🎯
full-blockchain-solidity-course-py
Ultimate Solidity, Blockchain, and Smart Contract - Beginner to Expert Full Course | Python Edition
GAN-for-tabular-data
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
hands-on-rl
Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽
Leetcode
🎓Leetcode solutions in Python 📚
leetcode-sql
Leetcode SQL Solutions
machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
mental-health-datasets
An evolving list of electronic media data sets used to model mental-health status.
Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
practical-ml-streaming-data-python
Source Code for 'Practical Machine Learning for Streaming Data with Python' by Sayan Putatunda
pyspark-cheatsheet
PySpark Cheat Sheet - example code to help you learn PySpark and develop apps faster
Python
All Algorithms implemented in Python
python-refresher
A Python refresher section for all our courses
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
rllib_tutorials
RLlib tutorials
streaming-datasets
A collection of data sets for stream learning.