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
19 minSupervised vs Unsupervised Learning
34 minSetting Up Your Python ML Environment
37 minWorking with NumPy & Pandas
37 min02Supervised Learning5 lessons
Linear & Polynomial Regression
35 minClassification with Logistic Regression
29 minDecision Trees & Ensembles
41 minSupport Vector Machines
34 minModel Evaluation Metrics
39 min03Deep Learning Introduction5 lessons
Neural Network Fundamentals
30 minBuilding with TensorFlow/Keras
20 minConvolutional Neural Networks
30 minRecurrent Neural Networks
20 minDeploying ML Models
35 min