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
36 minSupervised vs Unsupervised Learning
33 minSetting Up Your Python ML Environment
20 minWorking with NumPy & Pandas
44 min02Supervised Learning5 lessons
Linear & Polynomial Regression
38 minClassification with Logistic Regression
43 minDecision Trees & Ensembles
15 minSupport Vector Machines
44 minModel Evaluation Metrics
36 min03Deep Learning Introduction5 lessons
Neural Network Fundamentals
25 minBuilding with TensorFlow/Keras
44 minConvolutional Neural Networks
21 minRecurrent Neural Networks
26 minDeploying ML Models
31 min