Project 1: End To End Python ML Project (Complete)| Machine Learning Tutorials Using Python In Hindi

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This machine learning project using python in Hindi is created to give you a complete understanding on how machine learning problems are tackled in real world scenarios. Download the Jupyter notebook, data and code from links below.
We will understand the problem of a real estate company from its CEO and then apply ML to solve it. I have tried to make this video interactive and interesting by adding cartoon characters/animations. In this project I will be walking you through analyzing the problem from collecting data, importing it to a Jupyter notebook, looking for promising attributes, finding out correlations, plotting graphs, creating a pipeline, dealing with missing values and much more. At the end we present the problem to the real estates company who will use the model for predicting house prices given a set of features. I will teach you how concepts like cross validation, train-test splitting, stratified shuffle split, cross validation and sampling work in action. Indeed a very long video but packed with my years of learning!

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I hope you will learn a lot after watching this project and this video will be worth the efforts.
Is project video ke baad kis tarah ka Machine learning project chahiye?
Hit the bell icon there to get notified!

CodeWithHarry

TimeStamp⌚
0:00:00 Intro
0:02:44 Problem Explanation
0:15:39 Setting up before coding (install Jupyter Notebook, VS Code, Python)
0:19:50 Updating installed modules
0:25:17 Opening Jupyter Notebook
0:29:32 Starts Coding (Markdown in JN)
0:30:55 Downloading Dataset
0:31:55 Opening & Reading Dataset
0:38:37 Starts Coding (import pandas)
0:38:52 Analysing Dataset
0:45:12 Describe() function
0:48:56 Plotting Graphs (import matplotlib)
0:52:53 Explainsion of Train-Test Spliting Dataset
0:56:04 Train-Test Spliting (using function)
1:03:44 Train-Test Spliting (using Scikit learn)
1:07:55 Stratified Shuffing Split
1:18:40 Corelation Function
1:23:06 Plotting graph (using Pandas)
1:31:26 Trying out Attribute Combinations
1:36:20 Missing Values
1:46:46 Imputer
1:56:31 Scikit Learn Theory
2:03:30 Pipeline
2:16:55 Selecting a ML model for prediction
2:27:48 Evaluating Model
2:34:25 Better evaluation - Cross Validation
2:48:10 Saving Model (using joblib)
2:50:14 Testing Model on Test set
2:57:59 Using ML Model
3:04:11 Outro

toonani

I did many online courses for ML but the way u explained things and covered each topic from the core is just brilliant. For the first time I never had doubts or cross questions because you covered everything from scratch. I must say u r the best in this business. 👍🏻👍🏻

Shubh_Rajput

These things are tough to find for free..You really deserve applaud...I have seen paid stuffs but they have also not explained as you are doing ....Keep it up ...We need legends like you...From my experience till now, I can keep you in top 3 in the world for teaching programming on youtube

jaikrishnapandey

started working on this project out of curiosity(using this video) 3 years ago but left incomplete, but now i need it, i want to complete it(starting from the start), i bet i will do it by tomorrow,
i'll update to myself tomorrow below⬇
edit : done finally

chichagg

Excellent job br! You deserve a million subs for this tremendous hardwork.

zeeshantaj

2:57:25 I was already doing this in visual studio code..and it took 6 hours In total to learn this project..thank you Harry brother❤️

PriyanshuKumar-iocs

Harry bhai you are best teacher for the programming. Maine apse bhot sare languages sikhe hain. Ab dusre YouTube channels sikhne man hi nahi hota❤❤

gameversehub_official

I never watched such a great video in my entire life.
It comprises everything from a to z. (for a beginner )
Amazing job Harry. Really appreciated.

siddhantkaushik

Bro 2-3 more videos like this, I will pay the applaud, I promise.

GautamKumar-dzdp

I learn python from your python for absolute beginners....
It's the best tutorial in the YouTube to learn python..
Thankyou so much Harry Bhai...🤗🤗

yamansahu

Amazing so many things just in one video...keep making such videos on different datasets it will be really helpful for freshers like us who are expecting a future in data science. Good work keep it up and all the best!!

ankitkumargupta

the video tutorial is the exact description of handsonml book chapter 2 onwards . Cleared a lot of concepts and provided clarity. great work harry bhai!

aryannijhawan

18:50 for downloading visual code
20:05 update pip
21:50 if problem occur while upgrading pip
23:18 package needed

Ashishkumar-rbwj

Hello sir, I'm Omkar Mundlik from Latur Maharashtra. I learnt complete android studio from your one shot video, Now focusing on learning ML. Your are best teacher I've ever seen sir. Thanks for providing such valuable content free of cost🥰

codewithom

Thank you very much, sir, for this very useful project on ML for learning purpose. whatever videos I have seen until now is mainly based on ML theory but honestly speaking from your video I have just learned how can I use the ML in practical purpose. Thank you very much once again. And I heartily requesting you for more videos on this type of simple and interesting ML project.

-birigamingcallofduty

Harry sir this was amazing. this was surely the best video on machine learning by anyone.I am a class 8 student and I just loved your machine learning playlist and this amazing . after doing this I feel very happy and confident.thank you sir

HemantSingh-oozc

this is the very first tutorial where everything is explained from practical point of view, i have found so far.your teaching style is amazing sir.hatsoff to your efforts, that too done for freeee.pure awesome.

ameyashelarg

Learnt more from your web sites than from any others. Very relaxed and easy to understand. Requst more such case studies like this one. Wish you the best. Imtiaz Khan, San Diego, CA

ImtiazKkan

why can I like this just one time?
Great work bhaiyya.

sahiltomar

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