Sayan Putatunda's Projects
Minimal examples of data structures and algorithms in Python
π Papers & tech blogs by companies sharing their work on data science & machine learning in production.
πΈπΈ Curated list of investment & finance related resources
An awesome list of high-quality open datasets in public domains (on-going).
Bayesian Methods for Machine Learning
Causal Inference and Discovery in Python by Packt Publishing
code for https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
A Code-First Introduction to NLP course
Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute
A Boosted Random Forest Classification model was implemented to predict the outcome of the CoV-2 positive patients in China. Based on multiple features.
Public facing notes page
My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019
Conditional GAN for generating synthetic tabular data.
Data Structures and Algorithms in Python
The Leek group guide to data sharing
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Deep Learning with PyTorch, published by Packt
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
Evaluation of Deep Learning Frameworks
A collection of various deep learning architectures, models, and tips
deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link
Deep Learning Tutorial notes and code. See the wiki for more info.
Notebooks for learning deep learning
πA repository that contains all the Data Structures and Algorithms concepts and solutions to various problems in Python3 stored in a structured manner.π¨βπ»π―
Simple but useful Python web scraping tutorial code.
A MNIST-like fashion product database. Benchmark :point_right:
Ultimate Solidity, Blockchain, and Smart Contract - Beginner to Expert Full Course | Python Edition
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.
A curated list of resources focused on Machine Learning in Geospatial Data Science.