Object Oriented Programming - Brief summary on OOP

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

The Data Contract Specification Repository

This repository contains System Design resources which are useful while preparing for interviews and learning Distributed Systems

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

Examples of python neural net and ML stock prediction methods with sample stock data.

Lecture notes for EC 607

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

A game theoretic approach to explain the output of any machine learning model.

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

Lab sessions taught by me for MAT-494-Deep Learning (Monsoon-2020) at Shiv Nadar University, India.

Python Causal Impact port of Google's Algorithm.

Pairwise Multiple Comparisons (Post Hoc) Tests in Python

Set of Machine Learning and Stochastic Optimazion tools based on Hadoop, Spark and Storm https://pkghosh.wordpress.com/

A flexible neural network framework for running experiments and trying ideas.

Python package for stacking (machine learning technique)

Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.

Source Code for 'Applied Natural Language Processing with Python' by Taweh Beysolow II

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas …

Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator

Code that goes along with my screencasts.

Code examples from the blog www.datascienceriot.com. Mostly sabermetrics and baseball analysis written in R.

Free resources for learning data science

Caffe: a fast open framework for deep learning.

An awesome Data Science repository to learn and apply for real world problems.