Introduction to Machine Learning with Python

Learn to master Data Science and Machine Learning Fundamentals with Python and Pandas

Created by: Henrik Johansson
Instructor at Udemy

What Will I Learn?

• Knowledge about Data Science and Machine Learning theory, algorithms, methods, best practices, and tasks
• Deep hands-on knowledge about Data Science and Machine Learning, and know how to do common Data Science and Machine Learning tasks
• The ability to handle common Data Science and Machine Learning tasks with confidence
• Master Python for Data Handling
• Master Pandas for Data Handling
• Knowledge and practical hands-on knowledge of Scikit-learn, Statsmodels, Matplotlib, Seaborn, and many other Python libraries
• Detailed and deep, Master knowledge of Regression, Regression Analysis, Prediction, Classification, and Cluster analysis
• Advanced knowledge of A.I. prediction models and automatic model creation
• Advanced Knowledge of Text Mining, Text Mining Tasks, and Emotion Mining
• Cloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resources

Requirements

• The four ways of counting (+-*/)
• Everyday experience with Windows, Linux, or MacOS

Target audience

• This course is for you, regardless if you are a beginner or experienced Data Scientist, regardless if you have a Ph.D., or no education or experience at all.