Ankush Garg's repositories
github-slideshow
A robot powered training repository :robot:
marketData_FMP
Sourcing market data from financial modelling prep API
marketdata_YAHOO_FIN
Source market data from YAHOO Finance api YAHOO_FIN
marketdata_yfinance
Market data pull from yfinance API
SP500_Stock_List
Repository to pull S&P 500 stock list from wikipedia
Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning
This project's aim, is to explore the world of Natural Language Processing (NLP) by building what is known as a Sentiment Analysis Model. We will be implementing and comparing both a Naïve Bayes and a Deep Learning LSTM model.
machine-learning-for-trading
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
Cloud-based-stock-selection-app
CSE6242 - Data and Visual Analytics group project
web-scraping
Python detailed web scraping tutorials for dummies with financial data crawlers on CME (both futures and options), CFTC, LME, SHFE and news data crawlers on BBC, Wall Street Journal, Al Jazeera, Reuters, Financial Times, Bloomberg, CNN, Fortune, The Economist
spain
Implementation of a Neural Network to classify text with Python and Keras
GetCards
Notebook to download machine learning flashcards
tensorflow
An Open Source Machine Learning Framework for Everyone
Python
All Algorithms implemented in Python
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
AMLSim
The AMLSim project is intended to provide a multi-agent based simulator that generates a series of banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing your machine learning models and graph algorithms. We welcome you to enhance this effort since data set is critical to advance our detection capabilities of money laundering activities .
news-crawler
A news crawler for BBC News, Reuters and New York Times.
NewsReader
Prints headlines from Google, Reuters, CNN, Fox, ABC, Forbes, Yahoo, and BBC using Dashblock.
financials_scrape
This code will allow you to pull the last 5 years of financials from any stock on Reteurs and perform fundamental analysis based on the data.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
Path-to-Data-Scientist
Learning path to become Data Scientist
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Data-Science--Cheat-Sheet
Cheat Sheets
practicalAI
📚 A practical approach to machine learning.
Data-Science-Free
Free Resources For Data Science created by Shubham Kumar