Investment portfolio and stocks analyzing tools for Python with free historical data
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Updated
Oct 11, 2024 - Jupyter Notebook
Investment portfolio and stocks analyzing tools for Python with free historical data
South Africa Macroeconomic Database (SAMADB): Report issues with the database or APIs for R, Python and Julia
A collection of dataset for research purposes
This is a predictive model for trade of stocks of retail using macroeconomic indicators
A model based in artificial neural network to predict buy and sell stocks of retail sector.
The goal of this project is to perform default prediction for commercial real estate property loans based on 17 variables.
Final project of the Predictive Analysis course. Deployed Python web application on Microsoft Azure Cloud; Developed the linear and logistic regression with adaptive learning.
How Are Economies Doing
A model based in random forest to predict buy and sell stocks of retail sector.
Stock Price Predictor: Leveraging historical data, macroeconomic indicators, LSTM and Prophet models for enhanced stock price forecasting. Analyze trends, patterns, and economic factors to gain insights and make data-driven predictions. Leverage advanced modeling techniques for reliable forecasts.
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