AI Trainer

Overview

This project is an AI Trainer that builds, trains, and evaluates machine learning models from scratch without using third-party libraries.

Project structure

ai_trainer/
├── data/
│   ├── dataset.csv
├── models/
│   ├── decision_tree.py
│   ├── linear_regression.py
│   ├── logistic_regression.py
│   ├── neural_network.py
│   └── support_vector_machine.py
├── modules/
│   ├── data_loader.py
│   ├── data_preprocessor.py
│   ├── metrics.py
│   ├── model_selection.py
│   ├── parameter_tuning.py
│   └── utilities.py
├── scripts/
│   ├── train_decision_tree.py
│   ├── train_linear_regression.py
│   ├── train_logistic_regression.py
│   ├── train_neural_network.py
│   ├── train_svm.py
│   └── compare_models.py
└── README.md

Usage

1. Place your dataset in the data/ directory as dataset.csv.
2. Run the training scripts:

python train_linear_regression.py

python train_logistic_regression.py

This AI Trainer project includes substantial code and can be extended further with additional models, more sophisticated preprocessing, hyperparameter tuning, and more.