[pystatsmodels] Need help in getting started with Machine Learning

[showkat ahmad najar]

Hi.
I am a novice to Python and I am very much interested in ML using Python,
but I don't have any idea about how to get started. Can anybody help,
please.

Regards

Showkat Ahmad Najar
CCC, MCA
School of Computer Science
Central University of Karnataka
Kalaburagi
Karnataka-585367

On Thu, Dec 6, 2018, 4:42 AM David Waterworth <

As an aside, sklearn deals with stateful transforms by by using a 2 step
process implementing using functions fit() and transform(). For example
StandardScalar.fit() is called on the train data to calculate and store the
mean and std, and StandardScalar.transform() actually scales the data. The
function StandardScalar.fit_transform(X) is simple a shortcut for
StandardScalar.fit(X).transform(X).
Also note, as far as I'm aware you don't normally scale y. If you start
using sklearn pipelines it's not actually supported. Also don't scale your
categorical variables, it has the effect of removing the intercept
On Thu, 6 Dec 2018 at 03:05, Darryl Campbell <

Thanks ever so much for your help.
I think you hit the nail on the head with your response!
I had been using the original values of Xn without taking into account
how they might have been transformed.
Now I'm totally confused, but I think I can figure things out with a
little work. I hope :)

[Holyweek Asea]

Dear Showkat,
One aspect you've not mentioned is your level of proficiency in mathematics and statistics. But I'll go ahead and say, you'll need some basic knowledge of Linear algebra, Calculus (differential calculus), probability and some introductory statistics. The reason is, most ML algorithms are based on these topics and knowledge of these will make your life whole lot easier.
I'd suggest books like "Introduction to Statistical learning" which gives a smooth introduction to ML and "Elements of Statistical Learning" to add on.
Kind regards.

-----Original Message-----
From: "showkat ahmad najar" <***@gmail.com>
Sent: ‎06/‎12/‎2018 05:25
To: "***@googlegroups.com" <***@googlegroups.com>
Subject: [pystatsmodels] Need help in getting started with Machine Learning

Hi.
I am a novice to Python and I am very much interested in ML using Python, but I don't have any idea about how to get started. Can anybody help, please.


Regards


Showkat Ahmad Najar
CCC, MCA
School of Computer Science
Central University of Karnataka
Kalaburagi
Karnataka-585367


On Thu, Dec 6, 2018, 4:42 AM David Waterworth <***@cimenviro.com wrote:

As an aside, sklearn deals with stateful transforms by by using a 2 step process implementing using functions fit() and transform(). For example StandardScalar.fit() is called on the train data to calculate and store the mean and std, and StandardScalar.transform() actually scales the data. The function StandardScalar.fit_transform(X) is simple a shortcut for StandardScalar.fit(X).transform(X).

Also note, as far as I'm aware you don't normally scale y. If you start using sklearn pipelines it's not actually supported. Also don't scale your categorical variables, it has the effect of removing the intercept


On Thu, 6 Dec 2018 at 03:05, Darryl Campbell <***@gmail.com> wrote:

Thanks ever so much for your help.


I think you hit the nail on the head with your response!


I had been using the original values of Xn without taking into account how they might have been transformed.


Now I'm totally confused, but I think I can figure things out with a little work. I hope :)