- Data Analysis
- Scikit Learn (Machine Learning Library)
- Data Manipulation
- Supervised Learning
- Regression Analysis
- Programming Principles
- Classification And Regression Tree (CART)
- NumPy
- Statistical Hypothesis Testing
- Machine Learning
- Exploratory Data Analysis
- Pandas (Python Package)
Introduction to Data Science and scikit-learn in Python
Completed by Tzu-Sheng Hsu
September 8, 2021
13 hours (approximately)
Tzu-Sheng Hsu's account is verified. Coursera certifies their successful completion of Introduction to Data Science and scikit-learn in Python
What you will learn
Employ artificial intelligence techniques to test hypothesis in Python
Apply a machine learning model combining Numpy, Pandas, and Scikit-Learn
Skills you will gain
