Diploma in Machine Learning with R studio
Learn about Linear & Logistic Regression, Decision Trees, XGBoost & SVM in R programming with this free online course.
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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!Start Course Now
Introduction to Machine Learning with R studio
Setting Up R studio and R Crash course
Basics of Statistics
Introduction to Machine Learning
Data Preprocessing and Preparation
Linear Regression Model
Regression Models other than OLS
The Three Classification Models
Linear Discriminant Analysis
Comparing Results from 3 Models
Diploma in Machine Learning with R Studio - First Assessment
Simple Decision Trees
Simple Classification Tree
Creating Support Vector Machine Model in R
Diploma in Machine Learning with R Studio - Second Assessment
Having completed this course, you will be able to:
- Solve real life problems using the machine learning techniques
- Compute the relationship between predictor and outpur variables using machine learning models such as Linear Regression, Logistic Regression, LDA etc.
- Classify using Advanced Machine Learning models such as Decision trees, XGBoost, Random Forest, Support Vector Machines (SVM) etc.
- Evaluate and implement basic statistical operations in R programming language
- Recall the standard ML process from knowledge of data collection to data preprocessing to finally creating and evaluating an ML model
All Alison courses are free to enrol, study and complete. To successfully complete this Diploma course and become an Alison Graduate, you need to achieve 80% or higher in each course assessment. Once you have completed this Diploma course, you have the option to acquire an official Diploma, which is a great way to share your achievement with the world. Your Alison Diploma is:
Ideal for sharing with potential employers - include it in your CV, professional social media profiles and job applications
An indication of your commitment to continuously learn, upskill and achieve high results
An incentive for you to continue empowering yourself through lifelong learning
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