Machine Learning Cookbook: From Fundamentals to Deep Learning in 8 Weeks

Machine Learning Cookbook: From Fundamentals to Deep Learning in 8 Weeks

Want to learn machine learning properly but don't know where to start? This Cookbook is your answer. Master 14 core topics from Linear Regression to CNN and NLP in just 8 weeks.

Curriculum Overview

Week 1-2: Building Foundations

• Understanding the ML Pipeline
• Implementing Linear Regression
• Logistic Regression and Classification

Week 3-4: Tree-Based Models

• Decision Tree Principles
• Random Forest, XGBoost Ensembles
• Feature Engineering Techniques

Week 5-6: Unsupervised Learning

• K-Means, DBSCAN Clustering
• PCA Dimensionality Reduction
• Anomaly Detection

Week 7-8: Advanced Topics

• Handling Imbalanced Data
• Time Series Analysis
• Neural Networks Basics
• CNN and Image Classification
• Introduction to NLP

Key Features

• Hands-on Jupyter Notebook exercises
• Using Scikit-learn, XGBoost, TensorFlow
• Interview prep materials for each topic
• 10+ real-world projects
• Bilingual support (Korean/English)

Who Is This For?

• Beginners starting with machine learning
• Those who understand theory but struggle with implementation
• Anyone preparing for technical interviews
• Learners seeking structured curriculum

Get Started

Master the core of machine learning in 8 weeks with this free Cookbook.

Go to Machine Learning Cookbook