Machine Learning with Python and Scikit-Learn – Full Course

for me in colab od showed error related to url I tried my two kaggle accounts

This is a great ML Course, please how can I get this material for practical purpose

Hi, Please let me know what level of python coding experience is required as prerequisite to start this course ?

Do you have the download link to the pdf file you are using with this tutorial?

18 hours in 18 days, lesgooooo

help needed ! I just completed numpy and pandas and now I am moving towards scikit , does this video contains all the topics ? just give the course review , please share your experience it will be very helpful

Please this type of computer whenever you come with tutorial or discussion the screen is readable for any age . Please note that your spocken and your writing should go parallel

Please if someone did it and became self taught ML engineer reply to me and tell me that i can do it as well

continue like this brooo it4s so gooooooooooooooooooood

Your teaching mechanism with vivid screen readable and attention making masks me sty for ever in the tutorial!

This was the best tutorial I've ever seen on machine learning. Thank you.

Using this playlist can i do real time project
is it Satisfying
Can i build anything, by practicing it

I managed to complete (watch and code side-by-side) this video in a couple of weeks time in Dec 2024 and all I want to say is thank you Aakash for helping me understand all the fundamental ML concepts. I'm looking to switch my career to ML/AI in the near future and I feel this video is a very good start. I'm looking for learn more on Deep Learning, NLP and Gen AI concepts soon and master them by the end of 2025. Let's see how it goes.

in linear regression

i tried smoker model with SGDRegressor and it's coeffecient and biases are way off anybody else having same issue or know why is this happening

Is sklearn taught in this video? Or is it a prerequisite for this video?

I love A.I. ❤

Thank you for this great course!

For anyone wondering if this course is worth it, here’s my experience:

I completed all 18 hours, and despite limited experience with Python, I found it manageable as someone familiar with other programming languages. Despite being made in June 2021 and the fast pace of changes in ML, the course is still relevant. The good thing is that the learning is with real-world projects! There are exercises that are also very helpful!
There are some minor code issues, but they’re not dealbreakers. Experienced developers will easily fix them, and beginners can treat them as valuable troubleshooting practice—a key skill in programming. I’m sharing this as someone with good math knowledge and experience as a developer. Keep in mind that no single course can teach you everything about ML, but this one is a good starting point.

For those worried about the instructor’s accent, I watched at 1.75x speed without issues, and subtitles are available. Complaints about the accent seem more like excuses than real obstacles.

My tips:
Watching Andrew Ng’s course beforehand made me more prepared. Also, write the code yourself instead of just watching or copying. It makes a huge difference in how much you learn. I also did some side projects as practice, and they helped too.

where can i get the medical dataset??

saar

For anyone who might have had problems with Pandas-profiling and scikit-learn, because they need incompatible joblib versions, see that pandas-profiling has been renamed to ydata-profiling, which solves the issue.

Sir in my case"medical_db.corr()" is giving error......... (could not convert string to float: 'female').......... This one

nice lecture

is there a code pre trained model for video analysis

This one awesome and helpful course. Thank you free code camp. May god bless you😇🙌🙏

Hey, what a great video! You have my gratitude!

Just so you can only access the video content but will need to pay for certification

medical_df.corr() giving error could not convert string to float : female

Can anyone tell what are prerequisite before studying this

Thanks sir for your explanations I have one problem everytime I run my sklearn code the loss remains the same even after adding other inputs it still remains the same what could be the problem. I have tried it on another computer but still the loss is the same please anyone help me out

Johnson Daniel Jones Jeffrey Jackson Robert

Harris Elizabeth Miller Jeffrey Lee Sarah

For overfitting we check bias and variance ....that define the the over or under fitting problem

Jones Betty Jackson Carol Thomas Jennifer