Projects for Machine Learning
This repository contains machine learning projects and exercises to train various algorithms using different datasets. Includes :
- Data Preprocessing
- Data Analysis
- Supervised / UnSupervised Learning Algorithms
- Model Training
- Evaluation
- Conclusion
Based on the evaluation metrcis of various algorigthms, conclude the most approporate algorithm to solve the problem. Welcome to download to use them for exercise or training purpose.
1 - an array of numbers that represents the data itself. 2 - another array that contains a timestamp for each datapoint. The timestamps can include a wide range of time data, from months of the year to nanoseconds.
• Yahoo Finance (yfinance): The most popular free source for daily and intraday historical open, high, low, close, and volume (OHLCV) data via the yfinance Python library. • Alpha Vantage: Offers a Python wrapper to query over 20 years of historical close prices and technical indicators. • FRED (Federal Reserve Economic Data): Best for macro-level time series data such as interest rates, inflation, and GDP.