Intermediate
Introduction to Machine Learning
Dive into the world of AI and machine learning. Learn algorithms, data preprocessing, and build your first ML models with Python.
Sundays, 2:00 PM - 3:30 PM PST
10 weeks
10 weeks of content
18 students already signed up• 7 spots remaining
72% of spots filled
Course Curriculum
Week 1: Introduction to ML & NumPy
Understand ML concepts, set up environment, and master NumPy basics
Week 2: Data Preprocessing with Pandas
Clean and prepare data, handle missing values, and feature engineering
Week 3: Linear Regression
Build your first ML model, understand gradient descent and cost functions
Week 4: Classification Algorithms
Learn logistic regression, decision trees, and k-nearest neighbors
Week 5: Model Evaluation
Understand accuracy, precision, recall, F1-score, and cross-validation
Week 6: Support Vector Machines
Master SVM for classification and regression problems
Week 7: Ensemble Methods
Learn random forests, gradient boosting, and model stacking
Week 8: Neural Networks Basics
Introduction to deep learning, perceptrons, and activation functions
Week 9: Introduction to TensorFlow
Build neural networks with TensorFlow and Keras
Week 10: Final ML Project
Complete end-to-end ML project from data to deployment
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