Видео

good explanation!!!!

Thanks

Advice: Start teaching in Urdu, It would be much better, it may grab a lot of audience and also you don't seem comfortable in English either

can u share link for pdf of this book

😀

wonderful content!

You're the most honest teacher ❤ Love it!

📍Answer these questions and be featured in next video : 🌟🌟 1. Which of the following Scikit-Learn classifiers can handle multiple classes natively? A) SGDClassifier B) SVC C) LogisticRegression D) None of the above 2. What is the main difference between One-Versus-Rest (OvR) and One-Versus-One (OvO) strategies? A) OvR trains multiple classifiers, OvO trains only one B) OvR trains one classifier per class, OvO trains one classifier per pair of classes C) OvR is used for binary classification, OvO is used for regression D) OvR is faster for large datasets, OvO is faster for small datasets

Solve the Quiz and comment , I will shout out the names of winners in next video... 1. What can happen if the discriminator in a DCGAN becomes too strong? a) The generator will start producing higher quality images. b) The generator will stop learning and produce the same image repeatedly. c) The training process will become more efficient. d) The discriminator will start generating images itself. 2. Why is it difficult to monitor the training progress of a DCGAN by looking at the loss function? a) The loss function is not relevant to image quality. b) The loss function only measures the performance of the discriminator. c) The meaning of the loss function changes throughout training. d) All of the above

Will you cover everything of this book ? End to end. If yes than it would be awesome.

❤❤❤

📸Attempt this quiz and I will give shout out 🌟to the correct ones... ---------------------------------------------------------------------------------------------------------- 1. What does the ROC curve plot? A) Precision versus Recall B) True Positive Rate (TPR) versus False Positive Rate (FPR) C) Precision versus Specificity D) Sensitivity versus Specificity ---------------------------------------------------------------------------------------------------------- 2. What is another name for the True Positive Rate (TPR)? A) Precision B) Specificity C) Recall D) Accuracy ---------------------------------------------------------------------------------------------------------- 3. Which function in Scikit-Learn is used to compute the TPR and FPR for various threshold values? A) precision_recall_curve() B) roc_curve() C) roc_auc_score() D) f1_score()

awesome work

hello dear this is a wonderful video,thank you btw,i have a question out of the context please!

Worse video, abe chup rah tu, agar kuchh nhi aata to fill in words mat use kar Gawar malum parta hai.

strike aati hi hogi bhai OpenAI channel se 😊

Piracy lite

Nice video

Informative video Raj✨

Great

Thank you! Keep up the work👏

please explain the paper

How to get book free bro

Absolutely enthralled by this deep dive into the "Discriminator - The Brick Dataset (GAN) | 14 | Generative Deep Learning for building LLMs"! 🌟 The meticulous deconstruction of concepts and the elucidation of the discriminator's role in the GAN architecture offers profound insights into the fabric of generative deep learning. Your exposition on leveraging the Brick Dataset to sculpt Large Language Models (LLMs) is both avant-garde and illuminating. 📚💡

pdf link ???

grt work

Absolutely phenomenal job on creating a video series based on the "Hands-On Machine Learning for Beginners to Masters" book! 🌟 Your dedication to breaking down complex concepts into digestible, engaging content truly bridges the gap for aspiring machine learners. 🚀 The practical examples and clear explanations shine a light on the path from novice to expert. 🧠💡 Your work not only educates but inspires a deeper curiosity and passion for machine learning. Keep up the amazing work, and can't wait to see more content from you! 👏📚➡🏆 #LearningJourney #MachineLearningMagic

Keep working bro you are doing good work

I have learned web development and know python now I want to learn ML and AI what should I learn step by step pls guide

After finishing the maths & required python libraries I am learning ML from this series and also reading the book for better understanding. Thanks for putting effort to create this ongoing series.

Nice bro

❤

Best Roadmap ❤❤🎉

I am In classs 11th i want to learn it😊

Please upload videos frequently. and thank you for explanation

Pls upload next video. Your videos are really helpful

thanks for explanation. I am able to cover various topics very quickly while studying with you.

Keep it up bro

❤❤❤

speak like a news reporter

I really like this video. You have been very honest about AI. So many people don't want to admit that Devin is going to wipe out at least 80% of sofware engineering jobs within 5 years. They say things like it won't be able to talk to clients, and negotiate new specs etc, but there will be a small team that will do that, and they will just punch those specs into AI. AI will be able to do the job of 1,000 workers saving the companies millions. I respect your video because so many youtubers are lying to they audience telling them Devin will not affect them. These youtubers have coding courses and their platform are built on talking about coding, so of course they are going to tell the audience that coding will still be a thing for years to come and their jobs will be safe, which is a lie. Tech lead warned us coding will be dead in a few years and there is no future in coding but everyone laughed and called him a hater but he was right. There is no future in coding. Thank you for your honesty in telling the truth.

Nice 👍

❤