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100-days-of-code

Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)

adv-r

Advanced R: a book

advanced-sql-tableau-integration-for-business-intelligence-on-large-database

Successful SQL + Tableau Integration which provides insights into Business Intelligence with the help of SQL queries and visualizing the Data in Tableau to create Dashboard for Employees

adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

aima-data

Data files to accompany the algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach"

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

alphalens

Performance analysis of predictive (alpha) stock factors

betalyzer

A fintech tutorial using Python

cleveralgorithms

Clever Algorithms: Nature-Inspired Programming Recipes

cornellcswiki

Student-run wiki for students interested in computer science at Cornell University

dash-sample-apps

Apps hosted in the Dash Gallery

deep-quant

Deep learning for forecasting company fundamental data

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

dictionary-web-scraper

A Python program that uses web scraping techniques to fetch and extract data from HTTP requests to the Merriam-Webster dictionary

enwikt-dump-rs

Rust program for tasks involving the English Wiktionary dump

event-driven-stock-prediction-using-deep-learning

A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements

gambler-problem-rl

This repositiry contains implementation of Gambler Problem as discussed in Example 4.3 in Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto.

ggs

Greedy Gaussian Segmentation

gs-quant

Python toolkit for quantitative finance

hands_on_linux-self_hosted_wordpress_for_linux_beginners

Code and configuration snippets for the course.

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

hsmmlearn

A library for hidden semi-Markov models with explicit durations

machine-learning-curriculum

:computer: Make machines learn so that you don't have to program them; The ultimate list

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

markowitzportfoliooptimization

Computing a solution for the optimal mean-variance tradeoff (maximising Sharpe Ratio) of a portfolio according to MPT.

measuring-sustainability-reporting

Measuring Sustainability Reporting using Web Scraping and Natural Language Processing

measuring-technological-innovation-over-the-long-run-replication-kit

mhsmm

:exclamation: This is a read-only mirror of the CRAN R package repository. mhsmm — Inference for Hidden Markov and Semi-Markov Models. Homepage: https://github.com/jaredo/mhsmm