How to work towards a random forest?
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What are an eigenvalue and eigenvector?
Why we need ggplot?
For linear regression, what are some of the assumptions a data scientist is most likely to make?
What is the probability of pulling a different shape or a different colour card from a deck of 52 cards?
Name some kinds of graphs and explain how you would build them in python or r.
What are requirements for clustering?
Could you draw a comparison between overfitting and underfitting?
Explain box cox transformation?
What is association analysis?
What is a jupyter notebook?
What is the difference between skewed and uniform distribution?
What are eigenvectors and eigenvalues?
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