Machine Learning Cookbook: From Fundamentals to Deep Learning in 8 Weeks
SOTAAZ·
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.