Data Science Projects with Python
Ideal for anyone who is just getting started with machine learning, this hands-on data science book will give you experience building predictive models using industry-standard tools and techniques. It will help you develop the skills and understanding to generate valuable insights and make data-driven business decisions.
Offered by
Difficulty Level
Intermediate
Completion Time
14h24m
Language
English
About Book
Who Is This Book For?
Data Science Projects with Python – Second Edition is for anyone who wants to get started with data science and machine learning. If you’re keen to advance your career by using data analysis and predictive modeling to generate business insights, then this book is the perfect place to begin. To quickly grasp the concepts covered, it is recommended that you have basic experience of programming with Python or another similar language, and a general interest in statistics.
Data Science Projects with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 14h24m total length
Data Exploration and Cleaning
Introduction to Scikit-Learn and Model Evaluation
Details of Logistic Regression and Feature Exploration
The Bias-Variance Trade-off
Decision Trees and Random Forests
Gradient Boosting, XGBoost, and SHAP (SHapley Additive exPlanations) Values
Test Set Analysis, Financial Insights, and Delivery to the Client
Related Resources
Access Ready-to-Use Books for Free!
Get instant access to a library of pre-built books—free trial, no credit card required. Start training your team in minutes!