ØMagnet

[DesireCourse.Net] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

Torrent Hash :
61a573263733aa3121d8b568224f44db6eb8651d
Content Size :
14.82 GB
Date :
2021-05-07
Short Magnet :
Short Magnet
https://0mag.biz/!qmAz88 QR code
Files ( 448 )size
26. Presenting for Data Scientists/4. Intro dissection - recap.mp4341.95 MB
20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4328.78 MB
27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4326.38 MB
27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4287.87 MB
20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4267.53 MB
20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4257.16 MB
27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4231.4 MB
26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4230.49 MB
13. Assessing your model/4. How to build a CAP curve in Excel.mp4213.02 MB
22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4206.92 MB
23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4197.79 MB
26. Presenting for Data Scientists/7. How to present to executives.mp4197.49 MB
25. Working with people/6. The art of saying No.mp4196.41 MB
22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4189.75 MB
10. Multiple Linear Regression/8. Backward Elimination - Practice time.mp4186.94 MB
25. Working with people/8. Building a data culture.mp4185.17 MB
26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4179.61 MB
27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4173.43 MB
12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4171.39 MB
10. Multiple Linear Regression/10. Interpreting coefficients of MLR.mp4168.68 MB
14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp4168.19 MB
25. Working with people/5. Go and sit with them.mp4168 MB
10. Multiple Linear Regression/9. Using Adjusted R-squared to create Robust models.mp4167.16 MB
14. Drawing insights from your model/2. Power insights from your CAP.mp4161.15 MB
25. Working with people/2. Cross-departmental Work.mp4153.56 MB
13. Assessing your model/9. Comparing training performance and test performance.mp4153.39 MB
15. Model maintenance/3. Why do models deteriorate.mp4150.36 MB
20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp4147.48 MB
6. Advanced Data Mining With Tableau/8. Bonus Chi-Squared Test (Stats Tutorial).mp4147.37 MB
13. Assessing your model/8. Applying the model to test data.mp4144.49 MB
6. Advanced Data Mining With Tableau/7. Visualising Balance and Estimated Salary distribution.mp4144.27 MB
12. Building a robust geodemographic segmentation model/8. Checking for multicollinearity using VIF.mp4139.68 MB
22. ETL Phase 3 Data Wrangling after the load/13. Converting data on the fly.mp4138.65 MB
12. Building a robust geodemographic segmentation model/2. Get the dataset.mp4130.14 MB
22. ETL Phase 3 Data Wrangling after the load/12. Adding leading zeros.mp4129.69 MB
25. Working with people/4. Setting expectations and pre-project communication.mp4126.73 MB
5. How to use Tableau for Data Mining/2. Get the Dataset + Project Overview.mp4126.03 MB
23. Handling errors during ETL (Phase 3)/7. How to deal with errors using the isdate() function.mp4118.07 MB
22. ETL Phase 3 Data Wrangling after the load/7. Create table.mp4117.02 MB
22. ETL Phase 3 Data Wrangling after the load/6. Modifying Stored Procedures.mp4115.5 MB
26. Presenting for Data Scientists/6. My brainstorming method.mp4111.09 MB
26. Presenting for Data Scientists/3. Analysing the intro.mp4110.39 MB
23. Handling errors during ETL (Phase 3)/5. How to deal with errors using the isnumeric() function.mp4108.62 MB
23. Handling errors during ETL (Phase 3)/6. How to deal errors using the len() function.mp4108.5 MB
11. Logistic Regression/8. Interpreting coefficients of a logistic regression.mp4103.53 MB
20. Handling errors during ETL (Phases 1 & 2)/11. Automating Error Handling in SSIS Conditional Split (Level 2).mp4103.3 MB
12. Building a robust geodemographic segmentation model/9. Correlation Matrix and Multicollinearity Intuition.mp4102.85 MB
26. Presenting for Data Scientists/8. The truth is not always pretty.mp499.79 MB
10. Multiple Linear Regression/7. Ways to build a model BACKWARD, FORWARD, STEPWISE.mp498.86 MB
20. Handling errors during ETL (Phases 1 & 2)/13. Due Dilligence the one thing you HAVE to do every time.mp497.74 MB

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