[100% OFF] Artificial Neural Networks for Business Managers in R Studio

 Are you eager to dive into the world of Artificial Neural Networks (ANNs) and become proficient in creating neural network models in R? Look no further! Our Neural Networks course offers a comprehensive learning experience that equips you with the knowledge and skills to harness the power of ANNs for solving real-world business problems.

What You Will Achieve:

Upon completing this course, you'll have the expertise to:

Identify business problems suitable for solving with Neural Network Models.

Gain a profound understanding of advanced Neural Network concepts like Gradient Descent, forward and backward propagation, and more.

Create Neural Network models in R using the Keras and TensorFlow libraries and analyze their outcomes effectively.

Build confidence in practicing, discussing, and comprehending Deep Learning concepts.

Why This Course Is a Must:

Here's why you should choose our course:

Verifiable Certificate of Completion: You'll receive a certificate upon course completion, showcasing your newfound skills.

Suitable for Diverse Audiences: Whether you're a business analyst, an executive, or a student aspiring to apply Deep Learning in real-world business challenges, this course provides a solid foundation.

Balanced Theory and Practice: While many courses focus solely on executing the analysis, we believe in imparting a strong theoretical foundation, enabling you to create high-quality models and interpret results effectively.

Meet Your Instructors:

Your instructors, Abhishek and Pukhraj, are managers in a prominent Global Analytics Consulting firm. They bring a wealth of experience in applying Deep Learning techniques to solve business problems, infusing practical data analysis aspects into this course. With over 250,000 enrollments and numerous 5-star reviews, you can trust their expertise.

Our Promise:

We're dedicated to your learning journey. If you have questions about course content, practice materials, or any related topic, you can reach out through the course platform.

Course Highlights:

Part 1 - Setting up R Studio and R Crash Course:

Get started with R.

Install R and set up R Studio.

Learn essential R operations.

Part 2 - Theoretical Concepts:

Grasp the fundamentals of Neural Networks.

Understand Perceptrons and network architecture.

Dive into the Gradient Descent algorithm for optimization.

Part 3 - Creating Regression and Classification ANN Models in R:

Build ANN models using Sequential API for classification.

Define network architecture and configure models.

Train and evaluate models.

Solve a regression problem.

Explore complex ANN architectures using functional API.

Learn model saving and restoration.

Understand the significance of Keras and TensorFlow libraries.

Part 4 - Data Preprocessing:

Prepare data for analysis.

Cover topics like missing value imputation, variable transformation, and Test-Train split.

Part 5 - Classic ML Technique - Linear Regression:

Explore linear regression, including simple and multiple linear regression.

Quantify model accuracy and interpret results for solving business problems.

By the end of this course, you'll have the confidence to create powerful Neural Network models in R, making you proficient in using ANN to tackle business challenges effectively.

Don't miss out on this opportunity! Enroll now to embark on your journey to mastering Neural Networks in R.