Udemy - Artificial Neural Networks for Business Managers in R Studio [FCS]

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[FreeCourseSite.com] Udemy - Artificial Neural Networks for Business Managers in R Studio 0. Websites you may like
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1 - Introduction
  • 1 - Welcome to the course English.vtt (2.9 KB)
  • 1 - Welcome to the course.mp4 (21.2 MB)
  • 2 - Introduction to Neural Networks and Course flow English.vtt (4.3 KB)
  • 2 - Introduction to Neural Networks and Course flow.mp4 (29.1 MB)
  • 3 - Course Resources.html (0.3 KB)
  • 4 - This is a milestone English.vtt (3.4 KB)
  • 4 - This is a milestone.mp4 (20.6 MB)
10 - R Building and training the Model
  • 24 - BuildingCompiling and Training English.vtt (14.5 KB)
  • 24 - BuildingCompiling and Training.mp4 (130.7 MB)
  • 25 - Evaluating and Predicting English.vtt (9.0 KB)
  • 25 - Evaluating and Predicting.mp4 (99.2 MB)
11 - The NeuralNets Package
  • 26 - ANN with NeuralNets Package English.vtt (7.5 KB)
  • 26 - ANN with NeuralNets Package.mp4 (84.4 MB)
12 - R Complex ANN Architectures using Functional API
  • 27 - Building Regression Model with Functional AP English.vtt (12.2 KB)
  • 27 - Building Regression Model with Functional AP.mp4 (131.1 MB)
  • 28 - Complex Architectures using Functional API English.vtt (7.9 KB)
  • 28 - Complex Architectures using Functional API.mp4 (79.6 MB)
13 - Saving and Restoring Models
  • 29 - Saving Restoring Models and Using Callbacks English.vtt (19.3 KB)
  • 29 - Saving Restoring Models and Using Callbacks.mp4 (216.1 MB)
14 - Hyperparameter Tuning
  • 30 - Hyperparameter Tuning English.vtt (8.9 KB)
  • 30 - Hyperparameter Tuning.mp4 (60.6 MB)
15 - Addon 1 Data Preprocessing
  • 31 - Gathering Business Knowledge English.vtt (3.5 KB)
  • 31 - Gathering Business Knowledge.mp4 (14.5 MB)
  • 32 - Data Exploration English.vtt (3.4 KB)
  • 32 - Data Exploration.mp4 (20.1 MB)
  • 33 - The Data and the Data Dictionary English.vtt (7.4 KB)
  • 33 - The Data and the Data Dictionary.mp4 (69.3 MB)
  • 34 - Importing the dataset into R English.vtt (2.5 KB)
  • 34 - Importing the dataset into R.mp4 (13.1 MB)
  • 35 - Univariate Analysis and EDD English.vtt (3.3 KB)
  • 35 - Univariate Analysis and EDD.mp4 (24.2 MB)
  • 36 - EDD in R English.vtt (11.6 KB)
  • 36 - EDD in R.mp4 (97.0 MB)
  • 37 - Outlier Treatment English.vtt (4.4 KB)
  • 37 - Outlier Treatment.mp4 (24.5 MB)
  • 38 - Outlier Treatment in R English.vtt (4.2 KB)
  • 38 - Outlier Treatment in R.mp4 (30.7 MB)
  • 39 - Missing Value imputation English.vtt (3.7 KB)
  • 39 - Missing Value imputation.mp4 (25.0 MB)
  • 40 - Missing Value imputation in R English.vtt (3.5 KB)
  • 40 - Missing Value imputation in R.mp4 (26.0 MB)
  • 41 - Seasonality in Data English.vtt (3.5 KB)
  • 41 - Seasonality in Data.mp4 (17.0 MB)
  • 42 - Bivariate Analysis and Variable Transformation English.vtt (17.5 KB)
  • 42 - Bivariate Analysis and Variable Transformation.mp4 (100.5 MB)
  • 43 - Variable transformation in R English.vtt (7.7 KB)
  • 43 - Variable transformation in R.mp4 (55.4 MB)
  • 44 - Non Usable Variables English.vtt (5.4 KB)
  • 44 - Non Usable Variables.mp4 (20.2 MB)
  • 45 - Dummy variable creation Handling qualitative data English.vtt (4.8 KB)
  • 45 - Dummy variable creation Handling qualitative data.mp4 (36.8 MB)
  • 46 - Dummy variable creation in R English.vtt (5.3 KB)
  • 46 - Dummy variable creation in R.mp4 (44.0 MB)
  • 47 - Correlation Matrix and causeeffect relationship English.vtt (11.0 KB)
  • 47 - Correlation Matrix and causeeffect relationship.mp4 (71.6 MB)
  • 48 - Correlation Matrix in R English.vtt (8.7 KB)
  • 48 - Correlation Matrix in R.mp4 (83.1 MB)
16 - Linear Regression Model
  • 49 - The problem statement English.vtt (1.7 KB)
  • 49 - The problem statement.mp4 (9.4 MB)
  • 50 - Basic equations and Ordinary Least Squared OLS method English.vtt (11.4 KB)
  • 50 - Basic equations and Ordinary Least Squared OLS method.mp4 (43.4 MB)
  • 51 - Assessing Accuracy of predicted coefficients English.vtt (17.9 KB)
  • 51 - Assessing Accuracy of predicted coefficients.mp4 (92.1 MB)
  • 52 - Assessing Model Accuracy RSE and R squared English.vtt (8.2 KB)
  • 52 - Assessing Model Accuracy RSE and R squared.mp4 (43.6 MB)
  • 53 - Simple Linear Regression in R English.vtt (8.2 KB)
  • 53 - Simple Linear Regression in R.mp4 (40.8 MB)
  • 54 - Multiple Linear Regression English.vtt (6.7 KB)
  • 54 - Multiple Linear Regression.mp4 (34.3 MB)
  • 55 - The F statistic English.vtt (10.4 KB)
  • 55 - The F statistic.mp4 (56.0 MB)
  • 56 - Interpreting result for categorical Variable English.vtt (5.8 KB)
  • 56 - Interpreting result for categorical Variable.mp4 (22.5 MB)
  • 57 - Multiple Linear Regression in R English.vtt (8.1 KB)
  • 57 - Multiple Linear Regression in R.mp4 (62.4 MB)
  • 58 - TestTrain split English.vtt (11.5 KB)
  • 58 - TestTrain split.mp4 (41.9 MB)
  • 59 - Bias Variance tradeoff English.vtt (7.5 KB)
  • 59 - Bias Variance tradeoff.mp4 (25.1 MB)
  • 60 - TestTrain Split in R English.vtt (8.1 KB)
  • 60 - TestTrain Split in R.mp4 (75.6 MB)
18 - Congratulations & about your certificate
  • 61 - The final milestone English.vtt (1.6 KB)
  • 61 - The final milestone.mp4 (11.9 MB)
  • 62 - Bonus lecture.html (2.3 KB)
2 - Setting Up R Studio and R crash course
  • 10 - Inputting data part 3 Importing from CSV or Text files English.vtt (7.5 KB)
  • 10 - Inputting data part 3 Importing from CSV or Text files.mp4 (60.1 MB)
  • 11 - Creating Barplots in R English.vtt (16.4 KB)
  • 11 - Creating Barplots in R.mp4 (96.7 MB)
  • 12 - Creating Histograms in R English.vtt (6.8 KB)

Description

Udemy - Artificial Neural Networks for Business Managers in R Studio [FCS]

You do not need coding or advanced mathematics background for this course. Understand how predictive ANN models work

Created by Start-Tech Academy
Last updated 11/2022
English
English


TO GET DIRECT DOWNLOAD LINKS OR GOOGLE DRIVE LINKS VISIT OUR WEBSITE
FOR MORE PREMIUM UDEMY COURSES VISIT: https://freecoursesite.com



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3.1 GB
seeders:3
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Udemy - Artificial Neural Networks for Business Managers in R Studio [FCS]


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