Machine Learning: Logistic Regression, LDA & K-NN in Python | 100% Off

Free Certification Course Name: Machine Learning: Logistic Regression, LDA & K-NN in Python

Logistic regression in Python. Machine learning models such as Logistic Regression, Discriminant Analysis &KNN in Python.

Machine Learning: Logistic Regression, LDA & K-NN in Python
Machine Learning: Logistic Regression, LDA & K-NN in Python
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Requirements:

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

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 the classification model.
  • Predict future outcomes basis past data by implementing a Machine Learning algorithm.
  • In-depth knowledge of data collection and data preprocessing for Machine Learning logistic regression problem.
  • Learn how to solve the real-life problem using different classification techniques.
  • The course contains an 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.
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Course Content:

UDEMYPYML

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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 of on-demand video.
  • 18 articles.
  • 35 downloadable resources.
  • Full lifetime access.
  • Access on mobile and TV.
  • Certificate of Completion.

Created by Start-Tech Academy

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