@CodeWithHarry
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? Also I will be uploading short & quick ML videos on my english channel ProgrammingWithHarry - https://www.youtube.com/channel/UC7btqG2Ww0_2LwuQxpvo2HQ Hit the bell icon there to get notified!
@toonani7529
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
@jaikrishnapandey632
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
@dibakardeb655
Thanks!
@Shubh_Rajput7
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. 👍🏻👍🏻
@Ashishkumar-rb5wj
18:50 for downloading visual code 20:05 update pip 21:50 if problem occur while upgrading pip 23:18 package needed
@zeeshantaj55
Excellent job br! You deserve a million subs for this tremendous hardwork.
@siddhantkaushik4606
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.
@zohaibayubi
Salaam Ustad! Zohaib Ayubi From Karachi, Pakistan. And learned python from you as well and now its time to learn machine learning. Thank You
@GautamKumar-dz1dp
Bro 2-3 more videos like this, I will pay the applaud, I promise.
@aryannijhawan8448
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!
@gameversehub_official
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❤❤
@rehbarhasan8565
I Rehbar Hasan I'm a Ph.D. Student in Taiwan it's nice to see your videos they are really helping and your way of Delivering is awesome. Thank you Harry for such nice and informative stuff.
@thisisahandleitseems
Please keep on doing this, I tried learning ML for weeks, but only after I found your channel I was able to
@chichagg
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
@PriyanshuKumar-io4cs
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❤️
@codewithom11
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🥰
@GauravGupta-o6f
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
@revantpandey8893
I don't usually comment on a video but had to on this one. JUST AMAZING! I have seen too many videos trying to learn AI and Harry bhai's playlist has got me all covered. I didn't have this much clarity about AI before. You did a hugely commendable job. Please keep it up! Earned a sub!
@CodeWithHarry