Rohan's Bytes

ML Interview Q Series: What's the difference between One-vs-Rest and One-vs-One?

ML Interview Q Series: When you sample, what potential Sampling Biases could you be inflicting?

ML Interview Q Series: How can you create a model with a very Unbalanced dataset?

ML Interview Q Series: How do you find the Covariance Matrix from Missing Data?

ML Interview Q Series: How would you detect Heteroskedasticity?

ML Interview Q Series: When would you use Sequential Split of data?

ML Interview Q Series: How would you address the problem of Heteroskedasticity caused by a Measurement error?

ML Interview Q Series: How could I (statistically) find features that are more important than others?

ML Interview Q Series: How would you deal with an Imbalanced Dataset?

ML Interview Q Series: What's the difference between Random Oversampling and Random Undersampling and when they can be used?

ML Interview Q Series: How would you use a Confusion Matrix for determining a model performance?

ML Interview Q Series: How does the Algorithm "The 10% You Don't Need" remove the Redundant Data?