Machine Learning Statquest

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A Gentle Introduction To Machine Learning

Machine learning is one of those things that chock full hype and confusion terminology. in this statquest, we cut through all to get at the mos...

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Machine Learning Fundamentals Bias And Variance

Bias and variance are two fundamental concepts for machine learning, their intuition is just a little different from what you might have learned in your ...

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Gentle Introduction To Machine Learning A

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Statquest Maximum Likelihood Clearly Explained

If you hang out around statisticians long enough, sooner or later someone is going to mumble "maximum likelihood" and everyone will knowingly nod. after this...

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Machine Learning Fundamentals Cross Validation

One of the fundamental concepts in machine learning is cross validation. it's how we decide which method would be best for our dataset. chec...

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Statquest Linear Models Pt 1 Regression

The concepts behind linear regression, fitting a line to data with least squares and r-squared, are pretty darn simple, so let's get down it! note: this s...

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If you hang out around statisticians long enough, sooner or later someone is going to mumble "maximum likelihood" and everyone will knowingly nod.

It's how we decide which method would be best for our dataset. One of the fundamental concepts in machine learning is cross validation. It can be used to identify patterns in highly c.

Machine learning is one of those things that chock full hype and
confusion terminology. in this statquest, we cut through all to get at
the mos...
Principal component analysis, is one of the most useful data analysis
and machine learning methods out there. it can be used to identify
patterns in highly c...
If you hang out around statisticians long enough, sooner or later
someone is going to mumble "maximum likelihood" and everyone will
knowingly nod. after this...
Statquest Random Forests Part 1 Building Using And Evaluating

Note: at 9:28 i say "square" when meant to "square root". oops! would correct this minor error if it were easy do, but doesn't allow editi...

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Statquest K Means Clustering

K-means clustering is used in all kinds of situations and it's crazy simple. the r code on statquest github: https://github.com/statquest/k_means_clus...

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Statquest Linear Discriminant Analysis Lda Clearly Explained

Lda is surprisingly simple and anyone can understand it. here i avoid the complex linear algebra use illustrations to show you what it does so will k...

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Statquest Principal Component Analysis Pca Step By

Principal component analysis, is one of the most useful data analysis and machine learning methods out there. it can be used to identify patterns in highly c...

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Would correct this minor error if it were easy do, but doesn't allow editi. Lda is surprisingly simple and anyone can understand it. Principal component analysis, is one of the most useful data analysis and machine learning methods out there.

The concepts behind linear regression, fitting a line to data with least squares and rsquared, are pretty darn simple, so let's get down it. Machine learning is one of those things that chock full hype and confusion terminology. Bias and variance are two fundamental concepts for machine learning, their intuition is just a little different from what you might have learned in your.

In this statquest, we cut through all to get at the mos. Here i avoid the complex linear algebra use illustrations to show you what it does so will k. Kmeans clustering is used in all kinds of situations and it's crazy simple.

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