Intro to Linear Modeling
Day 8, Day 9 of #66DaysofData: Datacamp - Introduction to Linear Modeling in Python.
Exploring Linear Trends - (Day 8)
Interpolation is a model prediction for...
Confusion Matrix
Day 3 of #66DaysofData.com.
I watched 2 Confusion Matrix videos: One on StatQuest and the other on Udemy(Machine Learning A-Z™: Hands-On Python & R In...
StatQuest: Linear Models Pt.1 – Linear Regression
For Day 11 of #66DaysofData:
I watched the Youtube Video, StatQuest: Linear Models Pt.1 - Linear Regression.
https://www.youtube.com/watch?v=nk2CQITm_eo&t=1043s
Intro to Machine Learning
Day 1 of Ken Jee's #66DaysofData.com: Intro to Machine Learning. I watched the 1st/69 videos in the playlist "Machine Learning" on Youtube's StatQuest with...
Cross Validation
Day 2 of #66DaysofData.com: Cross Validation. I watched 2/69 videos in the playlist “Machine Learning” on Youtube’s StatQuest.
Video
https://www.youtube.com/watch?v=fSytzGwwBVw&list=PLblh5JKOoLUICTaGLRoHQDuF_7q2GfuJF&index=2
Sensitivity & Specificity
Day 4 of #66DaysofData.com.
I watched videos on Sensitivity & Specificity.
Sensitivity = TP / (TP + FN)
Specificity: TN / (TN + FP)
Videos
https://www.youtube.com/watch?v=vP06aMoz4v8&list=PLblh5JKOoLUICTaGLRoHQDuF_7q2GfuJF&index=4
https://www.youtube.com/watch?v=Z5TtopYX1Gc
https://www.youtube.com/watch?v=FnJ3L-63Cf8
