⚡️ Подборка Jupyter Notebook's с решением реальных задач Machine Learning

Все ноутбуки удобно структурированы в таком порядке:
Part I: Understanding Machine Learning
— 1: Machine Learning Basics
— 2: The Python Machine Learning Ecosystem
Part II: The Machine Learning Pipeline
— 3: Processing, Wrangling and Visualizing Data
— 4: Feature Engineering and Selection
— 5: Building, Tuning and Deploying Models
Part III: Real-World Case Studies
— 6: Analyzing Bike Sharing Trends
— 7: Analyzing Movie Reviews Sentiment
— 8: Customer Segmentation and Effective Cross Selling
— 9: Analyzing Wine Types and Quality
— 10: Analyzing Music Trends and Recommendations
— 11: Forecasting Stock and Commodity Prices
— 12: Deep Learning for Computer Vision

Можно использовать эту коллекцию ноутбуков как удобный сборник шаблонов

▶️ Ноутбуки

@machinelearning_interview