RahulKSom's repositories
Stock.Indicators
A multi-targeting .NET framework NuGet library that produces stock indicators. Send in stock quote history and get back the desired indicators. Nothing more. Current indicators include: Aroon, Average Directional Index (ADX), Average True Range (ATR), Beta Coefficient, Bollinger Bands, Chandelier Exit, Commodity Channel Index (CCI), Correlation Coefficient, Exponential Moving Average, Heikin-Ashi, Moving Average Convergence/Divergence (MACD), Parabolic SAR, Relative Strength Index (RSI), Simple Moving Average, Standard Deviation, Stochastic Oscillator, Stochastic RSI, Ulcer Index
Zerodha_Live_Automate_Trading-_using_AI_ML_on_Indian_stock_market-using-basic-python
Online trading using Artificial Intelligence Machine leaning with basic python on Indian Stock Market, trading using live bots indicator screener and back tester using rest API and websocket 😊
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
datasciencecoursera
Test Projects Coursera
Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
gpt-3
GPT-3: Language Models are Few-Shot Learners
great_expectations
Always know what to expect from your data.
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
mlflow
Open source platform for the machine learning lifecycle
nlp-in-python-tutorial
comparing stand up comedians using natural language processing
py
Repository to store sample python programs for python learning
python-docs-samples
Code samples used on cloud.google.com
sentiment-fear-and-greed
Backtesting the Fear and Greed Index and Put Call Ratio with Python and Backtrader
Stock-Price-Prediction-using-Keras-and-Recurrent-Neural-Networ
Stock Price Prediction case study using Keras
TradingView-data-scraper
Extract price and indicator data from published TradingView charts
tsne-cuda
GPU Accelerated t-SNE for CUDA with Python bindings
xgboost-smote-detect-fraud
Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!
YouTubeVideoCode
Code related to my YouTube vids!