Showing results for Market Vector
GitHub Repo
https://github.com/SingularityMan/vector_stock_market_bot
SingularityMan/vector_stock_market_bot
A stock market bot that automatically, once a day, rebalances your Robinhood portfolio by gathering information about each ticker in the portfolio and automatically buying or selling indefinitely.
GitHub Repo
https://github.com/mittidesai/Stock-Market-Prediction
mittidesai/Stock-Market-Prediction
An attempt to predict stock market volatility, return and trading volume of tech stocks using Semantic Vectors and Google Trends, which reflects real-time popularity of search terms
GitHub Repo
https://github.com/SinghAbhi1998/Stock-Market-Price-Prediction
SinghAbhi1998/Stock-Market-Price-Prediction
Stock Market Price Prediction: Used machine learning algorithms such as Linear Regression, Logistics Regression, Naive Bayes, K Nearest Neighbor, Support Vector Machine, Decision Tree, and Random Forest to identify which algorithm gives better results. Used Neural Networks such as Auto ARIMA, Prophet(Time-Series), and LSTM(Long Term-Short Memory) then compare make Inferences about the model.
GitHub Repo
https://github.com/talolard/MarketVectors
talolard/MarketVectors
Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)
GitHub Repo
https://github.com/Divya5595/Stock-Forecast
Divya5595/Stock-Forecast
Stock Market Prediction using Support Vector Machine
GitHub Repo
https://github.com/anyaozm/SVM-Stock-Prediction
anyaozm/SVM-Stock-Prediction
Support Vector Machine Stock Market Prediction
GitHub Repo
https://github.com/tomlin7/ecommerce-chatbot
tomlin7/ecommerce-chatbot
E-commerce platform powered by agents with vector search, recommendations, order/cart management capabilities.
GitHub Repo
https://github.com/byukan/Marketing-Data-Science
byukan/Marketing-Data-Science
Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).
GitHub Repo
https://github.com/theo-dim/regime_detection_ml
theo-dim/regime_detection_ml
Regime detection in historical markets using Hidden Markov Models (HMM) and Support Vector Machines (SVM).
GitHub Repo
https://github.com/marketcalls/vectorbt-backtesting-skills