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6 hours on-demand video
18 articles
33 downloadable resources
Last updated 5/2020
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Logistic regression in R Studio tutorial for beginners. You can do Predictive modeling using R Studio after this course.
4.2 (159 ratings)
56,733 students enrolled
Created by Start-Tech Academy
Last updated 6/2020
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6 hours on-demand video
18 articles
32 downloadable resources
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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 in R studio
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
Graphically representing data in R before and after analysis
How to do basic statistical operations in R
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6 hours on-demand video
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32 downloadable resources
What you'll 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 in R studio
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
Graphically representing data in R before and after analysis
How to do basic statistical operations in R
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Logistic Regression in R Studio
Logistic regression in R Studio tutorial for beginners. You can do Predictive modeling using R Studio after this course.
Rating: 4.2 out of 5
(242 ratings)
70,253 students
6 hours on-demand video
18 articles
29 downloadable resources
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