Deep Learning: Neural Networks and Heuristics with R

سرفصل های دوره

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

1 - Deep Learning Neural Networks With R

1 - Reviewing Dataset

2 - Creating Dataframes

3 - Generating Output

4 - Running Neural Network Code

5 - Importing Dataset

6 - Neural Network Plots for Hidden Layer 1

7 - Syntax and Commands for MLP

8 - Running the Code

9 - Testing for Dataframes

10 - Predict Results

11 - Creating R Folder

12 - Generating Output Plot

13 - Testing and Predicting the Outputs

2 - Deep Learning Heuristics Using R

14 - Course Contents

15 - Creating Dataframes

16 - Generating Descriptive

17 - Generating Descriptive Continued

18 - Setting Directory and Environment

19 - Assigning Variables

20 - Syntax and Command Part 1

21 - Syntax and Command Part 2

22 - Syntax and Command Part 3

23 - Setting Directory and EnvironmentCryptocurrencies

24 - Spearman Techniques

25 - Generating Line Graphs

26 - Generating Scatter Plots

27 - Generating Multiple Scatter Plots

28 - Understanding Regression Modeling Theory

29 - Implementing Linear Regression Modeling

30 - Syntax and Commands

31 - Generating Scatter PlotsEnergy Sector

32 - Multiple Scatter Plots

33 - Creating DataframesFinancial Markets

34 - Understanding Multiple

35 - Implementing Multiple Regression Model in R

36 - Plot and Draw Line of Fit

37 - Multiple Scatter Plots in a Graphical Frame

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تولید کننده: Udemy