Machine Learning Notebooks

Explore our collection of machine learning notebooks covering various topics and techniques.

Introduction to Neural Networks

Learn the basics of neural networks and implement a simple model using TensorFlow.

Neural Networks
TensorFlow
Beginner

Natural Language Processing

Explore advanced NLP techniques using BERT for text classification and sentiment analysis.

NLP
BERT
Advanced

Computer Vision: Image Classification

Build an image classification model using Convolutional Neural Networks (CNNs) with PyTorch.

Computer Vision
CNN
PyTorch

Time Series Forecasting

Implement ARIMA and Prophet models for time series analysis and forecasting.

Time Series
ARIMA
Prophet

Reinforcement Learning: Q-Learning

Get started with reinforcement learning by implementing a Q-learning algorithm.

Reinforcement Learning
Q-Learning
OpenAI Gym

Clustering Algorithms

Explore various clustering techniques including K-means, DBSCAN, and Hierarchical Clustering.

Clustering
Unsupervised Learning
scikit-learn