akbarboghani Goto Github PK

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

dog-project

dse210x-statistics-and-probability-in-data-science-using-python

UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python

effective-pandas

Source code for my collection of articles on using pandas.

equities-data-utils

Utils for downloading Equities data from NSE and BSE

face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

facenet

Face recognition using Tensorflow

facets

Visualizations for machine learning datasets

fasttext

Library for fast text representation and classification.

financial-news-dataset

450,341 news from Bloomberg and 109,110 news from Reuters.

finmarketpy

Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

flatlib

Python library for Traditional Astrology

foundations_for_deep_learning

Building a foundation for deep learning with mathematics and neuroscience

gatech-compinvest

Coursera Computational Investing - I (by Tucker Balch)

google-drive-pdf-downloader

google-news-scraper

Google News Scraper for languages like Japanese, Korean... [VPN Support]

google_screener_data_extract

Retrieving of financial metrics of various stocks using python

googlefinance

Python module to get real-time stock data from Google Finance API

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handy_data_viz_functions

Jupyter notebook of (python/Pandas) code snippets for handy matplotlib and Seaborn plotting functions to speed up EDA

high-frequency-trading-model-with-ib

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

how-to-predict-stock-prices-easily-demo

How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube

how_to_make_a_chatbot

This is the code for "How to Make a Chatbot - Intro to Deep Learning #12' by Siraj Raval on YouTube

hydrogen

:atom: Run code inline in Atom using Jupyter kernels

iktrading

Ilya Kipnis's miscellaneous quantstrat extensions, indicators, and order-sizing functions.

interactive_machine_learning

IPython widgets, interactive plots, interactive machine learning

interpretable-ml-book

Book about interpretable machine learning

intro-to-data-science-with-python

A tutorial for getting set-up to do data science with Python

intro-to-machine-learning

Python code for Udacity's "Intro to Machine Learning" course