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Genre: eLearning
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
Who this course is for:
People pursuing a career in data science
Working Professionals beginning their Data journey
Statisticians needing more practical experience
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