Your Learner Verification
This is to verify that Navin Mani Upadhyay has completed the course Diploma in Machine Learning with R studio on Alison.
Navin Mani Upadhyay
Alison ID: 16504237
Course Completed: Diploma in Machine Learning with R studio
Date of Completion: 22nd July 2020
Email: [email protected]
Total Study Time: 35h 14m
Final Assessment Score:
Alison courses requires at least
80% to pass the final assessment
87%
CPD Hours Completed:
CPD approved learning hours
completed through this course
34-36h
Course Information
Learn about Linear & Logistic Regression, Decision Trees & SVM in R programming with this Machine Learning in R course.
This free online course Diploma in Machine Learning with R studio explains how machine learning (ML) techniques can be used to solve business problems. The course begins by explaining the basics of statistics, machine learning and the R programming language. This will help you set up your system and also provide the prerequisites for building machine learning models. Then you will learn about the primary functions of machine learning and different terms associated with machine learning.
Next, you will learn about Linear Regression, which is the most popular machine learning model. You will be shown how to prepare data for the analysis and how to perform a univariate analysis and bi-variate analysis to analyze the quality of data available. Once the data is ready, you will learn how to build simple linear regression and multiple linear regression models. You will also be introduced to other advanced regression models such as Lasso and Ridge regression.
The last three modules of the course will focus on advanced models of machine learning, including classification models such as logistic regression, KNN and LDA. You will also learn about decision trees and a specialized type of ML model called Support Vector Machines. By the end of this course, you should have a thorough understanding of how to use Machine Learning to create predictive models and solve business problems. So, why wait? Start the course today and build your confidence in creating ML models using R Studio in a few hours!
Modules Completed
Module 1: Introduction to Machine Learning with R studio
Module 2: Setting Up R studio and R Crash course
Module 3: Basics of Statistics
Module 4: Introduction to Machine Learning
Module 5: Data Preprocessing and Preparation
Module 6: Linear Regression Model
Module 7: Regression Models other than OLS
Module 8: Data Preparation
Module 9: The Three Classification Models
Module 10: Logistic Regression
Module 11: Linear Discriminant Analysis
Module 12: K-Nearest Neighbors
Module 13: Comparing Results from 3 Models
Module 14: Diploma in Machine Learning with R Studio - First Assessment
Module 15: Simple Decision Trees
Module 16: Simple Classification Tree
Module 17: Ensemble Techniques
Module 18: Concept
Module 19: Creating Support Vector Machine Model in R
Module 20: Diploma in Machine Learning with R Studio - Second Assessment
Module 21: Conclusion
Module 22: Course assessment
