Deep Learning Neural Network with R introduces neural network modelling, data processing, and predictive analytics using R programming, helping learners understand machine learning concepts and build intelligent data-driven models.
| Section 01: Single Layer Neural Networks Project - Agriculture (Part - 1) | |||
| Reviewing Dataset | 00:14:00 | ||
| Creating Dataframes | 00:09:00 | ||
| Generating Output | 00:12:00 | ||
| Section 02: Single Layer Neural Networks Project - Agriculture (Part - 2) | |||
| Running Neural Network Code | 00:11:00 | ||
| Importing Dataset | 00:09:00 | ||
| Neural Network Plots for Hidden Layer 1 | 00:08:00 | ||
| Section 03: Multi-Layer Neural Networks Project - Deaths in wars (Part - 1) | |||
| Syntax and Commands for MLP | 00:11:00 | ||
| Running the Code | 00:08:00 | ||
| Testing for Dataframes | 00:13:00 | ||
| Predict Results | 00:08:00 | ||
| Section 04: Multi-Layer Neural Networks Project - Deaths in wars (Part - 2) | |||
| Creating R Folder | 00:14:00 | ||
| Generating Output Plot | 00:12:00 | ||
| Testing and Predicting the Outputs | 00:16:00 | ||
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