PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\Data Science A-Z Real-Life Data Science Excercises Included\12. Building a robust geodemographic segmentation model

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1. Intro (what you will learn in this section).mp438,119 KB12/12/2021 3:34 AM
1. Intro (what you will learn in this section).srt2 KB12/12/2021 3:34 AM
10. Model is Ready and Section Recap.mp461,011 KB12/12/2021 3:34 AM
10. Model is Ready and Section Recap.srt10 KB12/12/2021 3:34 AM
2. Get the dataset.mp4133,268 KB12/12/2021 3:34 AM
2. Get the dataset.srt12 KB12/12/2021 3:34 AM
3. What is geo-demographic segmenation.mp433,934 KB12/12/2021 3:34 AM
3. What is geo-demographic segmenation.srt8 KB12/12/2021 3:34 AM
4. Let's build the model - first iteration.mp476,643 KB12/12/2021 3:34 AM
4. Let's build the model - first iteration.srt13 KB12/12/2021 3:34 AM
5. Let's build the model - backward elimination STEP-BY-STEP.mp4175,500 KB12/12/2021 3:34 AM
5. Let's build the model - backward elimination STEP-BY-STEP.srt18 KB12/12/2021 3:34 AM
6. Transforming independent variables.mp494,244 KB12/12/2021 3:34 AM
6. Transforming independent variables.srt15 KB12/12/2021 3:34 AM
7. Creating derived variables.mp478,309 KB12/12/2021 3:34 AM
7. Creating derived variables.srt9 KB12/12/2021 3:34 AM
8. Checking for multicollinearity using VIF.mp4143,047 KB12/12/2021 3:34 AM
8. Checking for multicollinearity using VIF.srt12 KB12/12/2021 3:34 AM
9. Correlation Matrix and Multicollinearity Intuition.mp4105,324 KB12/12/2021 3:34 AM
9. Correlation Matrix and Multicollinearity Intuition.srt12 KB12/12/2021 3:34 AM