This repository contains projects that demonstrate the use of various machine learning algorithms. Each project focuses on a specific algorithm and includes relevant datasets, code, and explanations.
- Python, Jupyter Notebook, scikit-learn, pandas, matplotlib are the technologies that are used in this repository.
- Steps:
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- Data Exploration: Analyze and visualize the dataset.
- Data Preprocessing: Clean and prepare the data for modeling.
- Model Training: Train machine learning models to make predictions.
- Model Evaluation: Assess model performance using various metrics.
Each project is organized into its own directory with the following structure:
- notebooks/: Contains Jupyter notebooks with the code and analysis