Logistic Regression in Python [FREE]

Free Certification Course Title: Logistic Regression in Python

Logistic regression in Python tutorial for beginners. You can do Predictive modeling using Python after this course.

Logistic Regression in Python

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

Requirements:

  • 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 classification machine learning techniques from Beginner to Advanced in a short span of time

This course includes:

  • 7.5 hours on-demand video
  • 18 articles
  • 31 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion