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applied-machine-learning

Course: Applied Machine Learning

artificial-intelligence-deep-learning-machine-learning-tutorials

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 such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

awesome-ai-usecases

A list of awesome and proven Artificial Intelligence use cases and applications

chatbot_ner

chatbot_ner: Named Entity Recognition for chatbots.

dl_cv_tensorflow_10weeks

딥러닝-영상인식 CAMP 10주 과정을 위한 TensorFlow 코드들

face-recognition

highfrequencyeconometrics-har-vs.-neural-networks

Inspired by Hillebrand & Medeiros (2009) and Corsi (2009), I put neural networks in a High frequency environment, and tested the performance of the two models (HAR & Neural Networks). - The data used in this project is 2 years worth of intraday 5-minute realized volatility (See: Sheppard, Patton, Liu, 2012) from 20 Dow Jones stocks, that has been scrutinized using bivariate analysis and manipulation into a single dimension.

nlp-notebooks

A collection of notebooks for Natural Language Processing from NLP Town

notebooks

Code examples for pyFTS

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pyimagesearch

Diving into PyImageSearch

pytorch-ts

Tutorials on using encoder decoder architecture for time series forecasting

quant-finance-with-r

This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!

samr

An entry to kaggle's 'Sentiment Analysis on Movie Reviews' competition

sentiment-analysis-twitter

:mortar_board:RESEARCH [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter.

sentimentarcs_notebooks

SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time

stockpriceprediction

Stock Price Prediction using Machine Learning Techniques

time-series-forecasting-rnn-tensorflow

Time series forecasting

timeseries-notebooks

Hello world univariate examples for a variety of time series packages.

traffic-rule-violation-detection-system

vadersentiment

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.