Course curriculum
-
-
Multicollinearity
-
Orthogonality
-
How do VIF values help?
-
EigenValues Multicollinearity
-
Condition indices Multicollinearity
-
Eigen values, PCA & Collinearity
-
Explanatory variables are also called as...!
-
Why care about regression analysis in the age of Neural Networks
-
Types of regression
-
Model fitting
-
OLS intro
-
Pearson Correlation
-
Hypothesis Testing with Pearson Correlation
-
Correlation does not imply Causation
-
Takeaways of regression
-
Variability & R2
-
-
-
Into to Flask
-
What's the theory behind Flask I must know?
-
Where can I deploy Flask?
-
Brief Overview of Flask
-
Brief overview of HTML
-
-
-
Computer_Vision most useful types of applications
-
-
-
Entropy_overview
-
Binomial & Poisson
-
-
-
Bias & Variance
-
Case of High Variance
-
Understanding the Bias
-
Difference Between Model & Algorithm
-
-
-
Time Series Forecasting Methods
-
About this course
- Free
- 35 lessons
- 3 hours of video content
Learn only important must know concepts to advance your career fast!
Professionals help like nobody can!