Tools to build AI.

Cloud Platforms

**Google Colab**: Free Python notebooks **Kaggle**: Datasets and competitions **AWS SageMaker**: Amazon's AI platform **Google Cloud AI**: Google's AI tools

Programming Libraries

**Scikit-learn**: Easy machine learning **TensorFlow**: Google's deep learning **PyTorch**: Facebook's deep learning **Keras**: Simple neural networks

No-Code AI Tools

**Teachable Machine**: Train models without code **AutoML**: Automated machine learning **Azure ML Studio**: Visual AI building

Data Tools

**Pandas**: Data manipulation **NumPy**: Math operations **Matplotlib**: Data visualization

Pre-trained Models

**ChatGPT API**: Use OpenAI's models **Hugging Face**: Pre-trained NLP models **Vision APIs**: Image recognition services

Example: Using Scikit-learn

```python from sklearn.linear_model import LinearRegression

Simple prediction model model = LinearRegression() model.fit(X_train, y_train) predictions = model.predict(X_test) ```

Getting Started

1. **Start**: Google Colab (free, browser-based) 2. **Learn**: Scikit-learn (easy to use) 3. **Advanced**: TensorFlow/PyTorch

Remember

- Start with simple tools - Google Colab is great for beginners - Many tools are free