AI / Machine Learning
Machine Learning & AI
A hands-on introduction to machine learning built from Mansoura University FCIS AI Department's Fall 2025 ML course labs — covering the end-to-end ML workflow, data preprocessing with pandas, unsupervised clustering (K-Means, Self-Organizing Maps, Fuzzy C-Means, DBSCAN) with proper evaluation, and supervised linear regression trained by both the normal equation and gradient descent in TensorFlow.
9 lessons
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Lessons
- 1Lab #1: K-Means Clustering with Synthetic Data14 min read
- 2Lab 2: Self-Organizing Maps (Kohonen Maps)11 min read
- 3Lab 3: Data Preprocessing and Clustering with Real-World Data using Pandas DataFrames22 min read
- 4Fuzzy C-Means Clustering5 min read
- 5DBSCAN Clustering Algorithm Lab6 min read
- 6Linear Regression Lab19 min read
- 7Lab 1: Introduction to Python for Data Science45 min read
- 8Introduction to TensorFlow 2.x10 min read
- 9ML Review and Gradient Descent Example12 min read