Project 1 - Predicting Diamond Prices by mentor Ishita Malhotra
Agenda :

• • Project Summary

  • Pain point #1: Regression equation

  • Pain point #2 : Price calculations

  • Pain point #3 : Scatterplot visualization

👉Watch the recording>> https://udacity.zoom.us/rec/share/VlLsLabsjEsv8d0dVeajOwTYrKgoiBF3l1hRzsHORWet4F-eY7j0MPX3GtdB0FLq.dwXw3wDKipVlN-98

Passcode: .pd0$n$B

👉Slides >> HERE

Project 2 - Predicting Catalog Demand by mentor Ishita Malhotra
Agenda :

• • Project Summary

  • Pain point #1: Determining target variable

  • Pain point #2: Predictor variable selection

  • Pain point #3: Working with score tool

👉Watch the recording>> https://udacity.zoom.us/rec/share/YRmpfvzulcB4UjGXdc3k9N06nBbtpdCIoMWN3SO7cUj5LM311aTnlWrVb8SQIc_Q.6WgMU2IU_FnJpHdV

Passcode: 1SBi8m@u

👉Slides >> HERE

Project 3 - Create an Analytical Dataset by mentor Ishita Malhotra
Agenda :

• • Project Summary

  • Pain point #1: Splitting text into columns

  • Pain point #2: Removing extra characters

  • Pain point #3: De-duping data

  • Pain point #4: Missing data

  • Pain point #5: Identifying and dealing with outliers

👉Watch the recording>> https://udacity.zoom.us/rec/share/KMkSo7R_PLJDA9H_ukddvRdEzqx0H57qw6M0zQy3QElmkm5qde1b_qJcxt5EM5CB.GFGWZHzJ4wp0B2Vx

Passcode: MZ%Y@M1X

👉Slides >> HERE

Project 4 - Predicting Default Risk by mentor Ishita Malhotra
Agenda :

• • Project Summary

  • Pain Point #1: Reasons to remove predictor variables

  • Pain Point #2: Calculating bias in models

  • Paint Point #3: Selecting best model

👉Watch the recording>> https://udacity.zoom.us/rec/share/oMU9LzNX4SIaT_lAIlZm2SpzPyPJob9SpQTH1jGLUI8YTDdYJvcb-UJTJLKWjWSa.91RX0HRO3GKWA2ZV

Passcode: *UQ@5w8%

👉Slides >> HERE

Project 5 - 'A/B Test a New Menu Launch' by mentor Ishita Malhotra
Agenda :

• • Project Summary

  • Pain Point #1: No. of weeks

  • Pain Point #2: Region vs City

  • Paint Point #3: Separate workflows

👉Watch the recording>> https://udacity.zoom.us/rec/share/YD9X3KbaisrunHbKbeGV199nv30xWlG2hXoWVRh_TYHNDPyzfrCLim-lQA93rvKC.e4tseuiNvhV-fiR5

Passcode: aQ0+u3!C

👉Slides >> HERE

Project 6 Capstone - `Combining Predictive Techniques' by mentor, Andre Costa
Agenda :

• • Project Summary

  • Pain point #1: Getting the Correct Cluster Distribution

  • Pain point #2: Predicting Cluster for New Stores

  • Pain point #3: Setting up the data for the forecast

👉Watch the recording>> https://udacity.zoom.us/rec/share/_2gLBXKCGp3C7KOK7Hv6_LDcCO4Y_Sv2yZLS_3Py3S94EcMf4-b4NZvSamRMtBIa.1n7XLrYttnPj9eqs

Passcode: 23n0E#7a

👉Slides >> HERE