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2020_february_bash_python

a-traffic-simulation-with-concurrency

accelerated_cpp

book examples and exercises

algo_trading

autoxrd

Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

coursera_intro_to_programming_in_c

course materials and code for coursera online course---introduction to programming in C by Duke University.

cpp-cheat-sheet

C++ Syntax, Data Structures, and Algorithms Cheat Sheet

cppfoundations

diffranet

fiancial_engineering_resource

quant book

finmathematics

Books

fundamentalanalysis

Fully-fledged Fundamental Analysis package capable of collecting 20 years of Company Profiles, Financial Statements, Ratios and Stock Data of 13.000+ companies.

learning

textbook exercises

linuxsytemmonitor

matchinggame

memorymanagementchatbot

ml_stock_price_prediction

myrepo

my test repo

openstreetmap-route-planner

An open source project

principle-of-machine-learning

Principle of machine learning class at the University of Arizona CSC580

python-basics-exercises

Python Basics: A Practical Introduction to Python 3

scr

Resources for the book "Statistical Computing with R"

sentiment-analysis

space-invader

statistical-machine-learning

stoch-predict-with-tranformer-lstm

stock predict with MLP,CNN,RNN,LSTM,Transformer and Transformer-LSTM

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stock-price-prediction-model

Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity, Objectivity, Positive, Negative, Neutral) data is gathered from the news data and further used to predict stock prices. Achieved an accuracy of 94% using XGBoost.

stocknet-code

Code for stock movement prediction from tweets and historical stock prices.