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AI > Technical Track

Basics of ML with Python

800,000

강의내용

Day1 : Python Libraries & Data Preprocessing
- Numpy/matplotlib/pandas/sklearn
- NA/Outlier detection & removal
- Dummy variables
- Scaling

Day2 : Machine Learning with Python
- Basic concepts of ML & ML process
- Linear Regression, Logistic Regression
- model evaluation