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[ CourseMega com ] Linkedin - Machine Learning with Logistic Regression in Excel, R, and Power BI
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1 Introduction
01 Apply logistic regressions to solve problems.en.srt
01 Apply logistic regressions to solve problems.mp4
02 What you should know.en.srt
02 What you should know.mp4
03 Introduction to the course project.en.srt
03 Introduction to the course project.mp4
04 Configuring the Excel Solver Add-in.en.srt
04 Configuring the Excel Solver Add-in.mp4
05 Working with R.en.srt
05 Working with R.mp4
06 Configuring R in Power BI.en.srt
06 Configuring R in Power BI.mp4
2 Distributions and Probabilities
07 Introducing AI and logistic regression.en.srt
07 Introducing AI and logistic regression.mp4
08 Differentiating between odds and probabilities.en.srt
08 Differentiating between odds and probabilities.mp4
09 Differentiating between distributions.en.srt
09 Differentiating between distributions.mp4
10 Calculating logs and exponents.en.srt
10 Calculating logs and exponents.mp4
11 Sigmoid curve.en.srt
11 Sigmoid curve.mp4
12 Utilizing training and testing data sets.en.srt
12 Utilizing training and testing data sets.mp4
3 Binomial Logistic Regression
13 Calculating linear regression.en.srt
13 Calculating linear regression.mp4
14 Working with the logit model.en.srt
14 Working with the logit model.mp4
15 Calculating log likelihood.en.srt
15 Calculating log likelihood.mp4
16 Constructing MLE.en.srt
16 Constructing MLE.mp4
17 Solving MLE.en.srt
17 Solving MLE.mp4
18 Predicting outcomes.en.srt
18 Predicting outcomes.mp4
19 Visualizing logistic regression.en.srt
19 Visualizing logistic regression.mp4
20 Challenge Calculating logistic regression.en.srt
20 Challenge Calculating logistic regression.mp4
21 Solution Calculating logistic regression.en.srt
21 Solution Calculating logistic regression.mp4
4 Fine-Tuning the Model
22 Adding more independent variables.en.srt
22 Adding more independent variables.mp4
23 Transforming variables.en.srt
23 Transforming variables.mp4
24 Calculating correlations.en.srt
24 Calculating correlations.mp4
25 Using statistics.en.srt
25 Using statistics.mp4
26 Configuring confusion tables.en.srt
26 Configuring confusion tables.mp4
27 Challenge Fine-tuning the model.en.srt
27 Challenge Fine-tuning the model.mp4
28 Solution Fine-tuning the model.en.srt
28 Solution Fine-tuning the model.mp4
5 Multinomial Regression
29 Calculating odds for multinomial models.en.srt
29 Calculating odds for multinomial models.mp4
30 Calculating probabilities for multinomial models.en.srt
30 Calculating probabilities for multinomial models.mp4
31 Calculating multinomial log likelihoods.en.srt
31 Calculating multinomial log likelihoods.mp4
32 Running MLE.en.srt
32 Running MLE.mp4
33 Making the predictions.en.srt
33 Making the predictions.mp4
6 Working in Power BI with R
34 Running R scripts in the Power Query Editor.en.srt
34 Running R scripts in the Power Query Editor.mp4
35 Running R standard visuals.en.srt
35 Running R standard visuals.mp4
36 Interacting between visual components.en.srt
36 Interacting between visual components.mp4
37 Challenge Moving into Power BI.en.srt
37 Challenge Moving into Power BI.mp4
38 Solution Moving into Power BI.en.srt
38 Solution Moving into Power BI.mp4
7 Conclusion
39 Next steps with logistic regressions.en.srt
39 Next steps with logistic regressions.mp4
Bonus Resources.txt
Ex_Files_ML_Logistic_Regression_Excel_R_Power_BI
Exercise Files
01_04_begin
01_04_begin.xlsx
01_04_end
01_04_end.xlsx
01_05_begin
binomial.xlsx
01_05_end
binomial.xlsx
01_06_begin
binomial.xlsx
01_06_end
binomial.xlsx
02_01_begin
binomial.xlsx
02_01_end
binomial.xlsx
02_02_begin
binomial.xlsx
02_02_end
binomial.xlsx
02_03_begin
binomial.xlsx
02_03_end
binomial.xlsx
02_04_begin
binomial.xlsx
02_04_end
binomial.xlsx
02_05_begin
binomial.R
binomial.xlsx
02_05_end
binomial.R
binomial.xlsx
02_06_begin
binomial.R
binomial.xlsx
02_06_end
binomial.R
binomial.xlsx
02_07_begin
binomial.R
binomial.xlsx
02_07_end
binomial.R
binomial.xlsx
02_09_begin
binomial.R
02_09_end
binomial.R
03_01_begin
binomial.R
binomial.xlsx
03_01_end
binomial.R
binomial.xlsx
03_02_begin
binomial.R
binomial.xlsx
03_02_end
binomial.R
binomial.xlsx
03_03_begin
binomial.R
binomial.xlsx
03_03_end
binomial.R
binomial.xlsx
03_04_begin
binomial.R
03_04_end
binomial.R
03_05_begin
binomial.R
binomial.xlsx
03_05_end
binomial.R
binomial.xlsx
03_07_begin
binomial.R
03_07_end
binomial.R
04_01_begin
multinomial.R
multinomial.xlsx
04_01_end
multinomial.R
multinomial.xlsx
04_02_begin
multinomial.xlsx
04_02_end
multinomial.xlsx
04_03_begin
multinomial.xlsx
04_03_end
multinomial.xlsx
04_04_begin
multinomial.R
multinomial.xlsx
04_04_end
multinomial.R
multinomial.xlsx
04_05_begin
multinomial.R
multinomial.xlsx
04_05_end
multinomial.R
multinomial.xlsx
05_01_begin
binomial.R
05_01_end
binomial.pbix
05_02_begin
binomial.R
binomial.pbix
05_02_end
binomial.pbix
05_03_begin
binomial.pbix
05_03_end
binomial.pbix
05_05_begin
binomial.pbix
05_05_end
binomial_05_05_end.pbix
Data Sources
binomial (testing).csv
binomial (training).csv
Torrent description
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