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Build an AI Model in Python using PyTorch
This beginner-friendly project demonstrates how to build a simple AI model in Python using PyTorch. The model is trained to predict employee salaries based on job position levels using a feedforward neural network. From loading and visualizing data to training and evaluating the model, this project walks through every step of the machine learning pipeline in a hands-on way.

Disease Prediction using Machine Learning
This project focuses on predicting diseases based on user-provided symptoms using machine learning algorithms. By analyzing historical medical datasets, the system can identify potential diseases and assist in early diagnosis, improving healthcare decision-making.

Bitcoin Price Prediction using Machine Learning in Python
This project focuses on predicting Bitcoin price trends using machine learning techniques. By leveraging historical OHLC (Open, High, Low, Close) data and engineered financial indicators, various ML models like Logistic Regression, Support Vector Machine (SVM), and XGBoost are trained to forecast if the closing price will rise the next day. The goal is to build a binary classification system that can act as a Buy or Not signal.
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AI For Beginners
Perfect for newcomers looking to master the fundamentals of AI and build their first intelligent applications.
You'll learn:
- Python fundamentals for AI development
- Machine learning basics with practical applications
- Building and deploying your first AI applications
"Perfect for anyone wanting to enter the AI field without prior experience."
Advanced Development Skills
Full Stack AI Developer
Work on advanced AI web applications using React, Node.js, vector databases, and large language models.
You'll learn:
- Building full-stack applications with AI integration
- Working with vector databases and embeddings
- Deploying and scaling AI-powered web applications
"Take your development skills to the next level with real-world AI projects."
All Rabbitt Learning cohorts include 24/7 community access, personalized feedback, and certification upon completion.