OthmanMohammad/ChurnPrediction-E2E-ML-Pipeline
This project is an end-to-end machine learning pipeline with a focus on efficient model deployment using Flask API, Docker, and Amazon EC2. The modular architecture ensures seamless integration and a consistent experience across environments. A CI/CD pipeline with GitHub Actions streamlines development and deployment.
kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
OthmanMohammad/ChurnPrediction-E2E-ML-Pipelinekaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis
Project
Python@LanguagePython
Flask FrameworkFlask
1 Stars494
0 Forks183
APIsCategoryAPIs
Finance APIsSub CategoryFinance APIs
2023-04-20Pushed at2024-02-19
MIT LicenseLicenseMIT License