What you’ll learn
- Understand how to interpret the result of Logistic Regression model in Python and translate them into actionable insight
- Learn the linear discriminant analysis and K-Nearest Neighbors technique in Python
- Preliminary analysis of data using Univariate analysis before running classification model
- Predict future outcomes basis past data by implementing Machine Learning algorithm
- Indepth knowledge of data collection and data preprocessing for Machine Learning logistic regression problem
- Learn how to solve real life problem using the different classification techniques
- Course contains a end-to-end DIY project to implement your learnings from the lectures
- Basic statistics using Numpy library in Python
- Data representation using Seaborn library in Python
- Classification techniques of Machine Learning using Scikit Learn and Statsmodel libraries of Python
How to Enroll Logistic Regression in Python course?
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