Machine Learning Program

About Course

Course Overview:

This Machine Learning with R course covers the fundamental to advanced machine learning techniques, specifically using the R programming language. You will learn how to apply machine learning algorithms to solve real-world problems, from data preprocessing and model building to evaluation and deployment. By the end of the course, you’ll be proficient in using R to perform machine learning tasks across various domains.

Course Duration:
10 Modules (Approximately 3-4 months).

What Will You Learn?

Understand the core concepts of machine learning and statistical models.
Learn how to implement algorithms such as regression, classification, clustering, and decision trees using R.
Develop hands-on experience with real-world datasets to apply machine learning techniques.
Gain skills in model evaluation, feature engineering, and performance metrics.

Material Includes

Video lectures and practical coding demonstrations
Access to R and machine learning libraries
Project files and real-world datasets for hands-on learning
Cheat sheets and reference materials

Course Curriculum

Module 1: Introduction to Machine Learning with R

Learn about the basics of machine learning, business intelligence, and the role of R in solving analytical problems. This module introduces key concepts like structured and unstructured data and the importance of data in machine learning.

Module 2: Introduction to R Programming

Module 3: Data Manipulation in R

Module 4: Data Import Techniques in R

Module 5: Exploratory Data Analysis (EDA)

Module 6: Basics of Statistics & Linear & Logistic Regression

Module 7: Data Mining: Clustering Techniques, Regression & Classification

Module 8: ANOVA & Sentiment Analysis

Module 9: Data Mining: Decision Trees & Random Forests

Module 10: Project Work

Your Instructors

kodestree

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