Summary
Keywords
Full Transcript
Code - https://colab.research.google.com/drive/1bCaiuxiKShosnKhaqDAE1lWXAi-_Fbb2?usp=sharing PDF - https://drive.google.com/file/d/131sJUu335FSldQmdP4qTbp4qdSG4jYN8/view?usp=sharing Task 53 Link - https://colab.research.google.com/drive/1CU4xmpzk1xs4RUofGELifRuebmBBAWtZ?usp=sharing Task 53 Solution Link - https://colab.research.google.com/drive/1uG2DKKVF2h0xbGGIFYZ5WPpO4grFMo0-?usp=sharing ------------------------------------------------------------------------------------------------------------------------------------------------------- Enroll in this Programme from our Website - https://learnwith.campusx.in/ Course Website Link - https://campusx1040.graphy.com/s/preview/courses/CampusX-Data-Science-Mentorship-Program#6376dbd8e4b065a4cadac4db YouTube Playlist - https://www.youtube.com/playlist?list=PLKnIA16_RmvbAlyx4_rdtR66B7EHX5k3z ------------------------------------------------------------------------------------------------------------------------------------------------------- ----------------------- | **Chapters** | ----------------------- 00:00:00 - Session start 00:05:20 - Agenda 00:10:38 - What is Multicollinearity 00:18:07 - When is Multicollinearity bad? 00:33:10 - Multicollinearity (Mathematically) 00:38:07 - Perfect Multicollinearity 00:53:51 - Non-Perfect Multicollinearity 01:21:33 - Ty pes of Multicollinearity 01:28:40 - How to detect Multicollinearity 01:30:02 - Correlation 01:33:52 - VIF (Variance Inflation Factor) 01:42:44 - Condition Number 01:50:45 - How to remove Multicollinearity 01:59:37 - Doubt clearance & Session end #datanalytics #Stats #statistics #hypothesistesting #descriptivestatistics #campusx #dsmp2023 #inferentialstatistics
Continue this lesson in the app
Install CourseHive on Android or iOS to keep learning while you move.
