Linear Regression and Logistic Regression in Python

Linear Regression and Logistic Regression in Python

Build predictive ML models with no coding or maths background. Linear Regression and Logistic Regression for beginners

What you’ll learn

  • Learn how to solve real life problem using the Linear and Logistic Regression technique
  • Preliminary analysis of data using Univariate and Bivariate analysis before running regression analysis
  • Understand how to interpret the result of Linear and Logistic Regression model and translate them into actionable insight
  • Indepth knowledge of data collection and data preprocessing for Linear and Logistic Regression problem
  • Basic statistics using Numpy library in Python
  • Data representation using Seaborn library in Python
  • Linear Regression technique of Machine Learning using Scikit Learn and Statsmodel libraries of Python

Requirements

  • This course starts from basics and you do not even need coding background to build these models in Python
  • Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same

Who this course is for:

  • People pursuing a career in data science
  • Working Professionals beginning their Data journey
  • Statisticians needing more practical experience
  • Anyone curious to master Linear and Logistic Regression from beginner to advanced level in a short span of time
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