Recent questions in Machine Learning

Index _d.index incident dataDatetimeIndex(['2011-01-01 00:03:43', '2011-01-01 00:03:55', '2011-01-01 00:05:03', '2011-01-01 00:04:46', '2011-01-01 00:06:07', '2011-01-01 ...

how to choose the number of clusters based on intertia and based on silhouette using K-means

PCAhttps://www.youtube.com/watch?v=FgakZw6K1QQK-Meanshttps://www.youtube.com/watch?v=4b5d3muPQmA&index=10&list=PLblh5JKOoLUICTaGLRoHQDuF_7q2GfuJF&t=0s

If trying to read text and need to finalize texts as good, bad , ugly or any such buckets, where to start? What sentiment functions to use?

I am wondering what is the difference between normalization and feature scaling and usually when working on a machine learning project what comes normalization or feature...

I am wondering why should we use machine learning instead of deep learning. We know that deep learning is very powerful. Anything which machine learning algorithm can do ...

I have this question as an assignment, I am having challenges in interpreting this question.Q4. Define a function that takes a 1-d numpy array, a parameter k, and a numbe...

In any coding assignment or task at a higher educational level (University/College), would it be acceptable to use less coding and list modules or libraries that may not ...

I am not able to figure out how the calculation of the $m$ nearest points will be in a single dimensional array using kNN. Can anyone offer a clue or example?Thank you

The KNN function in the sklearn library (when coded properly), outputs the points closest to p based on the value of k, and others.The point(s) would include itself when ...

I am wondering what happens as K increases in the KNN algorithm. It seems that as K increases the "p" (new point) tends to move closer to the middle of the decision bound...

I have read online articles involving KNN and its emphasis on normalization. I would like to know if all KNN functions in Python need to involve normalization? I do know ...

I know Python and I am looking for the fastest way or a quick tutorial to learn how start using scikit-learn library.

I am looking for a roadmap for choosing the right estimator in scikit-learn