0:37 Characteristics of decision trees 5:07 Boosting vs Bagging 7:15 Hyperparameter tuning for RF 9:15 Why do we need so many machine learning tools? ... https://www.youtube.com/watch?v=kI9q0VVDtXg
A common error in computation of the CI for the mean is to use the wrong stats table. I tell you when to use what table
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https://www.youtube.com/watch?v=saxWp6h3j3A
By standardizing your variable that is normally distributed, you get a new column with data that is normally distributed with mean 0 and variance 1. This is something you might do to several variables because then you get them on the same level playing field, and makes comparisons easier.
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https://www.youtube.com/watch?v=mChMV5FzEvQ
Proof that the mean of the normal Z score is 0 and the variance 1. Even if you don't need to know the proof, you might be interested to see how it is done if you use the z score in applied stats.
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https://www.youtube.com/watch?v=tgilFRfYf6I
Small statistics problem in basic statistics using equations that relate certain probabilities. Given some probabilities we have to think what equations link them, and use that to compute the unknown probability.
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https://www.youtube.com/watch?v=F5sFGB52z34
If you are a newbie to R, you are likely to have seen the attach() command to access variables in a data frame. For the newbie, using it makes the code shorter and less frightening. There are however shortcomings to attach() and detach() as I present in this video, and then I tell you about better alternatives.
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https://www.youtube.com/watch?v=IGXTNjRTRA8
Basic economics
What are demand and supply sets?
What is a demand function?
What is a supply function?
What is an inverse demand function?
What is an inverse supply function?
What's the difference between a demand and inverse demand function?
How to sketch demand and supply sets?
How to find the equilibrium using (inverse) demand and supply functions?
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https://www.youtube.com/watch?v=eROMnRs9HsM
Subject: statistics
Level: newbie and up
Proof of moment generating function of the gamma distribution. Use of gamma mgf to get mean and variance.
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https://www.youtube.com/watch?v=-elod4SsOts
How would I enter my data for age if it is in categories of 18-24, 25-35, 36-45, 46-55, 56-65, and 65+?
Would it be the same as for gender? Using nominal data and coding the values so for instance 18 = 18-24?
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https://www.youtube.com/watch?v=JDrp4hfH0nk