A Hands- on Course in Data Science: Regression & EDA |Python

Fundamentals of Data Science : Exploratory Data Analysis (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

Take this course