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Logistic Regression in R Studio

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

What does this course teach you?

Introduction
Welcome to the course! Course Resources
Basics of Statistics
Types of Data Types of Statistics Describing data Graphically Measures of Centers Practice Exercise 1 Measures of Dispersion Practice Exercise 2
Getting started with R and R studio
Installing R and R studio Basics of R and R studio Packages in R Inputting data part 1: Inbuilt datasets of R Inputting data part 2: Manual data entry Inputting data part 3: Importing from CSV or Text files Creating Barplots in R Creating Histograms in R
Introduction to Machine Learning
Introduction to Machine Learning Building a Machine Learning model
Data Preprocessing
Gathering Business Knowledge Data Exploration The Data and the Data Dictionary Importing the dataset into R Project Exercise 1 Univariate analysis and EDD EDD in R Project Exercise 2 Outlier Treatment Outlier Treatment in R Project Exercise 3 Missing Value Imputation Missing Value imputation in R Project Exercise 4 Seasonality in Data Variable transformation in R Project Exercise 5 Dummy variable creation: Handling qualitative data Dummy variable creation in R Project Exercise 6
Classification Models
Three Classifiers and the problem statement Why can't we use Linear Regression? Logistic Regression Training a Simple Logistic model in R Project Exercise 7 Results of Simple Logistic Regression Logistic with multiple predictors Training multiple predictor Logistic model in R Quiz Project Exercise 8 Confusion Matrix Evaluating Model performance Predicting probabilities, assigning classes and making Confusion Matrix Project Exercise 9 Quiz
Linear Discriminant Analysis (LDA)
Linear Discriminant Analysis Linear Discriminant Analysis in R Project Exercise 10
Test-Train Split
Test-Train Split Test-Train Split in R Project Exercise 11 Quiz
K-Nearest Neighbors classifier
K-Nearest Neighbors classifier K-Nearest Neighbors in R Project Exercise 12
Understanding the Results
Understanding the results of classification models Summary of the three models The Final Exercise!

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