AI Tools and Platforms

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

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