Data Science & Machine Learning Project - Part 1 Introduction | Image Classification

With this video, we are beginning end to end machine learning project or data science project for sports celebrity image classification. During this project, I will give you a feel of how projects are executed in big companies in a typical corporate environment. We will try to classify an image of my favourite 5 sports people. In this video I am just giving an introduction and going over business requirements etc. In next one we will talk about data collection. While working on this project you will learn,

1) How to build end to end machine learning or data science project
2) Use Opencv library for face and eyes detection
3) data cleaning using opencv face detection and feature engineering using wavelet transforms
4) Model building using SVM, logistic regression, random forest
5) Model fine tunning using gridsearchcv
6) Export model to a file and write python flask server around it that can server http requests generated by UI
7) Build ui using HTML,CSS,javascript and JQuery

[dhirajp]

Blessed are those who share knowledge..

[dheerajkumark]

Plz do more end to end projects like this. It's a kind request sir

[AmandeepSingh-ijif]

I regret why i came through your channel so late. You are doing a great job . Thanks

[boscojay]

I don't know what to say to you, but you will be my mentor from today onwards. I have quit following the rest!

[ThienLeDuongMinh]

Great series! Thank you very much, i'm a newbie and these videos help me a lots to understand the concepts of Machine Learning clearly and i found it interesting to learning ML, love it<3

[karangadgil]

you are doing a fantastic job! pretty organized material and seems like almost all aspects related to data science are getting covered

[prashanthshetkar]

was always looking for this kind of data science project, finally got one. thank you

[mycreationmanishyadav]

In previous project I also face difficulty to make flask server and leave it in between, I hope that here steps are more detailed to switch platform

[udayposia]

I am regretting not bumping into your channel earlier. Thanks

[dipankarrahuldey]

Yeah that's what I'd requested for.. Thank you so much

[r]

Thank you so so so much !!!
Thanks for helping us with the awesome videos ..I completely rely on your material for my preparation.

[ManpreetKaur-oozw]

This ML series is very informative and helps alot foe adding projects. But I want to request you plz bring a pdf og questions that could be asked in interview based on this project, And plz provide it . that will be more beneficial @codebasics

[AlonAvramson]

Thank you for your generosity and ingenuity. This is so helpful.

[abhisheksingh]

you are the best keep uploading your best stuffs!!!!

[bhavindedhia]

yes more such project we want to learn

[jatinkumar]

Thank you very much sir. That is what was needed. It will help a lot.

[divakarkaushik]

Regarding ML project
Dear sir,
Greetings for making such a wonderful series on Data Science/Analytics for learners. I need to submit project on ML. Although I am watching your videos, and even seen data science road map video. I have one month to submit first phase of project, Abstract already submitted.

My confusion is on which topic I should work and more over what are the topics(like for prediction and analysis) I required to complete the project with in time limit.
Topics which came in my mind: IPL match winning prediction.
I don't know either Topics nor Order(ARIMA Modeling, Time Series)

Kindly give your suggestions (topics of ML and order)to overcome this problem, I am new in ML.

Thanks & Regards

[shivanshaghor]

Hello Sir, Please make more end to end projects like this.

[Karthik_Aryan]

Sincerely appreciate your effort ... Bit disappointed as we didn't see any projects after House Prediction

[tanzimmahfuz]

@codebasics

This is the pragmatic idea
Hopefully it will encourage us all to have with you always