Data Science: Regression & Exploratory Data Analysis, Python

Concise data science course, covers what matter most: EDA, regression (linear, logistic), visualization, basic ML.

What Will I Learn?

You will be able to apply data science algorithms for solving industry problems
You will have a clear understanding of industry standards and best practices for predictive model building
You will be able to derive key insights from data using exploratory data analysis techniques
You will be able to efficiently handle data in a structured way using Pandas
You will have a strong foundation of linear regression, multiple regression and logistic regression
You will be able to use python scikit-learn for building different types of regression models
You will be able to use cross validation techniques for comparing models, select parameters
You will know about common pitfalls in modeling like over-fitting, bias-variance trade off etc..
You will be able to regularize models for reliable predictions

Includes:

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