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Machine Learning Basics: Classification Models In Python – Simpliv

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Description

You’re looking for a complete Classification modelling course that teaches you everything you need to create a Classification model in Python, right?

You’ve found the right Classification modelling course!

After completing this course you will be able to:

  • Identify the business problem which can be solved using Classification modelling techniques of Machine Learning.
  • Create different Classification modelling model in Python and compare their performance.
  • Confidently practice, discuss and understand Machine Learning concepts

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 short span of time

Basic knowledge
  • Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same

What will you learn
  • Understand how to interpret the result of Logistic Regression model and translate them into actionable insight
  • Learn the linear discriminant analysis and K-Nearest Neighbors technique
  • Learn how to solve real life problem using the different classification techniques
  • 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
  • Course contains a end-to-end DIY project to implement your learnings from the lectures

Enroll Now

  • Person Simpliv
  • Address Simpliv LLC
    39658 Mission Boulevard, Fremont,
    CA 94539, USA.
    Phone: +510-849-6155
    Email: [email protected]

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