• Post category:StudyBullet-16
  • Reading time:5 mins read


Confidently build predictive Machine Learning and Deep Learning models using R to solve business problems

What you will learn

Learn how to solve real life problem using the deep learning techniques

Learn Deep Learning models such as Regression, Heauristic etc

Understanding of basics of statistics and concepts of Deep Learning

How to do basic statistical operations and run ML models in R

Description

This course covers the main aspects of neural networks and deep learning. If you take this course, you can do away with taking other courses or buying books on R based data science. In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in neural networks and deep learning in R, you can give your company a competitive edge and boost your career to the next level.


Get Instant Notification of New Courses on our Telegram channel.


You’re looking for a complete Machine Learning and Deep Learning course that can help you launch a flourishing career in the field of Deep Learning, R, right? You’ve found the right Deep Learning course! After completing this course you will be able to:

  • Confidently build predictive Machine Learning and Deep Learning models using R to solve business problems and create business strategy
  • Answer Machine Learning, Deep Learning, R, related interview questions
  • Participate and perform in online Data Analytics and Data Science competitions such as Kaggle competitions
  • Learn how to solve real life problem using the deep learning techniques
  • deep Learning models such as Regression, Heauristic etc
  • Understanding of basics of statistics and concepts of Deep Learning
  • How to do basic statistical operations and run ML models in R
  • In-depth knowledge of data collection and data preprocessing for Machine Learning problem
  • How to convert business problem into a Machine learning problem
English
language

Content

Deep Learning: Neural Networks With R

Reviewing Dataset
Creating Dataframes
Generating Output
Running Neural Network Code
Importing Dataset
Neural Network Plots for Hidden Layer 1
Syntax and Commands for MLP
Running the Code
Testing for Dataframes
Predict Results
Creating R Folder
Generating Output Plot
Testing and Predicting the Outputs

Deep Learning: Heuristics Using R

Course Contents
Creating Dataframes
Generating Descriptive
Generating Descriptive Continued
Setting Directory and Environment
Assigning Variables
Syntax and Command Part 1
Syntax and Command Part 2
Syntax and Command Part 3
Setting Directory and Environment-Cryptocurrencies
Spearman Techniques
Generating Line Graphs
Generating Scatter Plots
Generating Multiple Scatter Plots
Understanding Regression Modeling Theory
Implementing Linear Regression Modeling
Syntax and Commands
Generating Scatter Plots-Energy Sector
Multiple Scatter Plots
Creating Dataframes-Financial Markets
Understanding Multiple
Implementing Multiple Regression Model in R
Plot and Draw Line of Fit
Multiple Scatter Plots in a Graphical Frame