How To Train a Good Classification Model | Logistic Regression in Python

How To Train a Good Classification Model | Logistic Regression in Python
#ClassificationModel #LogisticRegression #UnfoldDataScience
Hi,
My name is Aman and I am a data scientist.
About this video:
In this video, I talk about details of classification model which makes a model good and stable. How to train a good classification model is core concept covered in this video. This video is part 1 of this training example where I discuss about important concepts which describes goodness of a classification model.
Below questions are answered in this question:
1. What is a good classification model?
2.What is a stable classification model?
3.How to train a good classification model
4. What is confusion matrix
5. What is true positive, false positive,true negative and false negative
6. What is AUC and ROC
In my next video, i will show the exact python codes to implement the logistic regression in Python and train a good classification model.
About Unfold Data science: This channel is to help people understand basics of data science through simple examples in easy way. Anybody without having prior knowledge of computer programming or statistics or machine learning and artificial intelligence can get an understanding of data science at high level through this channel. The videos uploaded will not be very technical in nature and hence it can be easily grasped by viewers from different background as well.
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[@milindankur]

BTW: I have come across at least a hundred youtube channels on data science coaching in both English and Hindi languages. This is by far the most valuable channel if you really want good use of your time and know key concepts with easy explanations. I wish I had discovered this channel at the beginning of my career.

[@UnfoldDataScience]

Thanks Milind, can not express how much your comments motivate me to keep going.

[@tarunraghu1]

Dear Sir, I admire your clear explanation of data science concepts and I am very grateful for your contribution in this field. You are a blessing in disguise. Thank you so much for doing what you do. More power to you.

[@054_ronitkumar2]

very easy and simple explanation sir your contribution to teach us is amazing :))..........please keep on making such valuable videos on data science stuffs for us 🙏🙏

[@vishalrai2859]

wonderful so simple to understand I paid for a course and I think they are nowhere when i compare them with u thanks sir for your content

[@UnfoldDataScience]

Thanks Vishal.

[@GopiKumar-ny3xx]

Useful information regarding models of classification and classifier... Keep it up

[@UnfoldDataScience]

Thank you .

[@abhishekgautam231]

Anyone going through these videos shall have their concept crystal clear. Thanks, Aman.

[@UnfoldDataScience]

Thanks Abhishek.

[@rajikasharma4090]

Wonderful explanation,,,Thank you so much!!

[@harishashankar3661]

Thank you Aman. This cleared some of my doubts in simple manner.

[@UnfoldDataScience]

Glad to hear that Harisha. Happy Learning!

[@preranatiwary7690]

Thanks for covering each important topic in your videos. Keep up the good work!

[@UnfoldDataScience]

Thank you.

[@rufarotsodzai859]

This is pure gold.

[@ravinduabeygunasekara833]

Superb video!

[@UnfoldDataScience]

Thank you.

[@rameshmamilla5392]

Thanks for let us know the concept in detail manner. Thanks for your time on this video Aman!

[@UnfoldDataScience]

Welcome Ramesh.

[@wubliker5371]

zat was interesting presentation, is like fooding....... but pls add part numbers to identify sequence of ur videos easily. which one is z successor video from this?

[@krishnab6444]

Thank you sir!

[@DS_AIML]

Great Aman.Please share some more use cases where we can consider False Negative(FN) and False Positive(FP). I would also like to understand Precision and Recall in your terms with an examples

[@UnfoldDataScience]

Hi Anjani. Thanks for your feedback. I will try to create a video on the same. Happy learning.tc

[@gopiramankumar2231]

Nice presentation 👍👍👍

[@UnfoldDataScience]

Thank you.

[@akash002123]

Thank you Aman, useful learning video.

[@UnfoldDataScience]

So nice of you Akash

[@milisneha7068]

Very Clear explained ✌🏻👏🏻👏🏻

[@UnfoldDataScience]

Thank you sneha.

[@vishalrai2859]

Please arrange all the video regarding machine learning it will be to follow

[@UnfoldDataScience]

kzbin.info/www/bejne/onXXq36lqN-SgrM

[@preetbenipal1034]

very helpful ....worth to watch ....

[@UnfoldDataScience]

Glad you think so Preet.

[@sauravksingh]

great explnation

[@UnfoldDataScience]

Thanks Saurav for motivating through comment.

[@sandeepv4714]

good evening bro. Can you explain how to select threshold value for prediction in logistic regression

[@DatapottAnalytics]

Hey, thanks for the video. I cant see the link for the next video please - logistic regression in Python

[@UnfoldDataScience]

Please check in playlist section, but anyway let me share kzbin.info/www/bejne/rKHNiqaMgM-Sj5I&pp=ygUidW5mb2xkIGRhdGEgc2NlaW5jZSBjbGFzc2lmaWNhdGlvbg%3D%3D

[@sadhnarai8757]

Good job..keep it up

[@UnfoldDataScience]

Thanks a lot.

[@vishalrai2859]

sir where I can find implementation of roc and AUC curve

[@UnfoldDataScience]

You want the code to plot it? Google it, you will find easily.

[@adityabenere6004]

sir your explanation is amazing. Would love to see the python codes video.

[@UnfoldDataScience]

All my codes here: drive.google.com/drive/folders/1XdPbyAc9iWml0fPPNX91Yq3BRwkZAG2M My python playlist here: kzbin.info/www/bejne/hIW9nIB_atmonpo

[@adityabenere6004]

@@UnfoldDataScience Thankyou so much sir

[@adityabenere6004]

@@UnfoldDataScience Thanks a lot sir .....this is amazing and of great help.

[@sanjeevkmr5749]

Great Content!!! If possible, can you please discuss about Calibration of Classification Models?

[@UnfoldDataScience]

Sure Sanjeev. Thank you.

[@MrJiggy31]

F1 scores what is it ? How and when to use it ?

[@UnfoldDataScience]

Harmonic mean of precision and recall, to be used in classification use case as one of the performance metric.

[@shubhamchoubey3948]

Bhaiya, make a video on how logistic regression actually works in fake news detection algorithm.. in my last interview i said the whole procedure..still he wanted me to explain "suppose i m ur grandparent, now tell me how u have detected a news is fake or real ?" Pls help 🙏🙏🙏🙏

[@shubhamchoubey3948]

Using logistics regression

[@UnfoldDataScience]

create a layman story in simple words. I can explain more in live class, register for free: www.lighthall.co/class/6fdae050-85a4-48c4-9ecc-8dd2fa6ff175

[@sruthit7658]

How to find optimal threshold

[@UnfoldDataScience]

Hi Shruti, We need to figure out optimal threshold by balancing False Negatives and False positives based on business ask.