ProgrammingScienceAdvanced
Machine Learning Foundations
Understand supervised and unsupervised learning, neural networks, and model evaluation. Hands-on labs in Python with scikit-learn and TensorFlow.
D
Dr. James Mwangi
Instructor
4.9rating723 students14 lessons24 hours
WHAT YOU'LL LEARN
- Complete 14 lessons across 3 modules
- Master machine learning basics
- Master supervised learning
- Master deep learning introduction
- Earn a certificate of completion
CURRICULUM
01Machine Learning Basics4 lessons
What is Machine Learning?Preview
16 minSupervised vs Unsupervised Learning
42 minSetting Up Your Python ML Environment
42 minWorking with NumPy & Pandas
37 min02Supervised Learning5 lessons
Linear & Polynomial Regression
21 minClassification with Logistic Regression
29 minDecision Trees & Ensembles
29 minSupport Vector Machines
42 minModel Evaluation Metrics
32 min03Deep Learning Introduction5 lessons
Neural Network Fundamentals
15 minBuilding with TensorFlow/Keras
41 minConvolutional Neural Networks
29 minRecurrent Neural Networks
28 minDeploying ML Models
19 min