Machine Learning with R Programming
Learn in Detail How to execute Machine Learning Algorithms in R Programming
Ratings 3.65 / 5.00
What You Will Learn!
- Understanding Machine Learning and its techniques in brief
- Learn Implementation of different methods to estimate the model performance using caret package
- Learn how to apply machine learning tools to build and evaluate predictors on real data
- How to cluster the data using Machine Learning clustering algorithm such as K-Means, etc
- Perform Prediction on large dataset using Regression Techniques
- Forecast the Time series data with the help of casestudy
Description
This course will cover the basic algorithm that helps us to build and apply prediction functions with an emphasis on practical applications. Students, at the end of this training, will be technically competent in the basics and the fundamental concepts of Machine Learning such as:
- Understand components of a machine learning algorithm
- Apply multiple machine learning tools to build and evaluate predictors on real data
- Learn how to perform different classification algorithm to filtering the Email data
- Forecasting on Time series Data
- Perform Clustering with the help of case study
- This course contains lectures as videos along with the hands-on implementation of the concepts, additional assignments are also provided in the last section for your self-practice, working files are provided along with the first lecture.
Who Should Attend!
- This course is intended for Analyst professionals who will be using Machine Learning algorithms to analyze big data, Data scientist who will identify, analyze, and interpret trends or patterns in complex data sets, Software professionals and analytics Professionals
Tags
- Machine Learning
- R (programming language)
Subscribers
96
Lectures
42
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