Check out our premium machine learning course with 2 Industry projects: codebasics.io/courses/machine-learning-for-data-science-beginners-to-advanced

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@hanselsamuel

3 жыл бұрын

I really appreciate your tutorial videos, thank you. But how to find the "bought_insurance" values ?

I have never seen any other video explaining the concepts of machine learning so clearly. Keep up the great work..!!

One of the few videos that clearly shows the training data that the model is attempting to fit to. Thank you.

Best course you can get for learning ML is this only. Explanation is super awesome. Actually most of the books and courses shows you complex looking mathematical equations but this guy made all that easy for us.

Perfectly balanced video. It forces anyone to continue to watch other videos of this series. Very well explained in simple language. 👌

Perfect explanation with proper examples. Great job.

@anand.prasad502

4 жыл бұрын

medium.com/trainyourbrain/would-you-read-this-article-or-not-b757d0e26cf8

Sir, I know so surely that I can bank on your data science and python videos when I need to gain an in-depth understanding. Your content gives me the hope and clarity that I needed. God bless you and your undying passion to make such useful content for us. Thank you so much for all your hard-work sir!!! :)

Solution link for the exercise: github.com/codebasics/py/blob/master/ML/7_logistic_reg/Exercise/7_logistic_regression_exercise.ipynb Step by step guide on how to learn data science for free: kzread.info/dash/bejne/iKKTz8-IpbTRg6Q.html Machine learning tutorials with exercises: kzread.info/dash/bejne/maGq2MOoktCdlbQ.html

You are the best teacher! I love the exercises at the end of each topic, which strengthens our understanding of what we learnt!!! Thank you so much! :)

@codebasics

4 жыл бұрын

I am glad it was helpful. :)

Thank you again! Great explanation! Always great tutorials!

Thank You Sir, I have learned a lot from your vids :). I was really perplexed by Logistic Regression and I am glad KZread recommended this to me :)

This video is fantastic. I'm teaching myself machine learning and this was one of the most helpful resources I've found online. Excited to watch/work-through the rest of the videos! Thank you so much

@anand.prasad502

4 жыл бұрын

medium.com/trainyourbrain/would-you-read-this-article-or-not-b757d0e26cf8

Finally i got perfect trainer for ML, your skills are excellence sir, we are very proud of you sir.

@codebasics

4 жыл бұрын

Glad you liked it :)

@matinpathan5186

3 жыл бұрын

Yes is good but if you like his tutorials then tell your friend to subscribe his channel and hit the like button... that we can do from our side

I never seen anyone explaining simple as like this. Others making complicated like maths intuition. Thanks code basics

I love your tutorials. They're perfectly paced, with right amount of context and explanation, great examples, and patient but efficient delivery. I hope you continue to produce more. Subscribed here and also Liked all of the videos I've found so far from you. Best.

@codebasics

2 жыл бұрын

👍🤗

Another Great Tutorial, Thank you sir, Waiting for the next tutorial, keep up the good work

i'm Not afraid to learn things with complicated term anymore! this teacher is the best at explanation.

@zerostudy7508

5 жыл бұрын

@@codebasics You are good at it. I thank you.

Thank you very much for the videos on ML, AI, Python, etc. They help me learn a lot. Your explanations are clear and well understood. Thanks.

@codebasics

4 жыл бұрын

George I am glad 😊

I love your series of videos as you are concerned with the student's learning! Thanks!

Started learning machine learning on your youtube. Absolute Masterclass , you are my real teacher sir!!!

You make people feel so welcomed to data field with your teaching skills. You are always the best.

Very well done and explained even for beginners - thank you so much!

thank you so much ! you have helped alot in learning the algorithms. Saved time with such a quick and easy way of explaining as I didn't have time for my fyp compleion and these videos are saving my time to get an idea of all algorihtms

I paused the video and commented, it's an excellent series that begins with ML.

This video had good information, it was really helpful. I am still a learner, new to this field. I understand how to write and basics of confusion matrix using binary classification. But some terminologies are confusing. Can you please explain what exactly are base rate, test incidence, conditional incidence, classification incidence? That would be appreciated.

Your videos are awesome. I'm learning so much!

For the first time after so many courses, videos, whitepapers, github, kaggle, exercises, wiki pages I am genuinely enjoying Machine Learning and I am doing all the coding and exercises by myself obviously after learning and understanding it all. Thanks a lot!!!

@codebasics

2 жыл бұрын

Glad you like them Riya and I wish you all the best! I have many playlists and recently left my job to focus on online teaching. My goal is to produce even a better quality tutorials then this.

@riyamitra8901

2 жыл бұрын

@@codebasics I am trying to follow all of your videos to improve in my career. I am trying to get a job with a clear concept.

@riyamitra8901

2 жыл бұрын

@@codebasics One question here. Why we did not remove one of the dummy variable after dropping salary column in Logistic regression like we did for Linear?

@09_samarpanbasu7

Жыл бұрын

@@riyamitra8901 I think ...as logistic regression can handle multicollinearity between the dummy variables so it's not necessary to drop the last col.

Thank you so much for the graphical explanation...the concepts are crystal clear in my mind now.

Thank you, now if you have many features in your binary classification problem, and the classes overlap from visualizing data using pca, is it advisable to use Logistic Regression in this case?

I have no other words to say, the comments done by others have already conveyed my message to you!, Lots of love and thank you !

Sir Kindly confirm whether you already have a video for how to do Exploratory data analysis and feature selection. Thank you.

Actually, I fine tuned my model and was able to achieve an accuracy of 1.0. Thankyou so much sir. This might just be the best channel I have seen.🥳

@kibs_neville

4 ай бұрын

Hi, I have some slight problem. How can I plot the prediction curve after training my model? Would be glad if you reply. Thanks

@anishagarwal71

Ай бұрын

Could you pls tell me what exactly did you do to fine tune it?

sir I have got an error "too many values to unpack" at 11:24,please help me to resolve this issue.

Great Class, you are the best of the best !!!

Detailed and really helpful. Thank you.

bro you are best .. tried to swirl thru other online videos and then I end up watching your videos and I understand better .

@codebasics

4 жыл бұрын

Sunnny Singh, I am happy this was helpful to you

@rutvikkumbhar6736

11 ай бұрын

Any update you can give how's your data science journey is going as I am aspiring to be a data scientist..

one question though in the exercise given of employee retention why did not you dummify the dept variable and included in the features, cannot it be one of the important features which we should be including coz I have included it and got better score as well.

78 percent accuracy. I do all your exercises but in this I learned a lot. Thank you sir for such a great series @codebasics

@kalaipradeep2753

10 ай бұрын

Hi bro....

@kalaipradeep2753

10 ай бұрын

Now I learn machine learning.... Now What are you doing. I mean study or work

@piyushjha8888

10 ай бұрын

I work in a bank as a software engineer. This channel is a gem as this explains the ML concept in laymen terms. I was able to give most of the answers related to ML because of codebasics and deep learning Andrew Ng course

Hi, i found your course is truly enhancing the path towards Machine Learning concepts, kindly continue this and sir achieve a complete set of this machine learning course including all the kick start algorithms. Thanks Sparsh

@codebasics

5 жыл бұрын

Thanks for appreciation Sparsh. I am continuing the series, it is just that due to my schedule I am not finding lot of time to work on it but I will try my best to speed up new tutorial additions.

Dear Sir What a beautiful datasheet you have provided for practice with this video. Spent more than two days to play with it. Playing with the datasheet opened another dimension of the learning curve. Thank you very much for providing relevant exercises like this as a challenge!

@codebasics

4 жыл бұрын

Happy that this is helping you Nilupul.

Sir, I extremely appreciate your videos and efforts in teaching these things. Very helpful and great explanation!!

Exactly what I was looking for, Thank You!

Perfect explanation on logistic regression. Loved it. Thanks a lot.

@anand.prasad502

4 жыл бұрын

medium.com/trainyourbrain/would-you-read-this-article-or-not-b757d0e26cf8

Thanks, sir .. your explanation is really clear and so easy to understand 👍🏼

Thnaks a lot for theese amazing contents. I have just discovered your videos!

Awesome explanation. I like this practical math and algorithmic explanation.

This video is really really good. Love the way you teach, your pacing and all the things you mentioned are really useful. Thank u and may god bless u!

@codebasics

3 жыл бұрын

Glad it was helpful!

Building model means statistic formula will be the same but we use different columns of Data Frame for an output. Is it right sir?

Thank you very much ! Your videos are always my best choice to learn ML

Thanks a bunch, Subscribed here and also Liked all of the videos I've found so far from you. Best.

among several videos, this one is the best. appreciated

@codebasics

4 жыл бұрын

Rida, I am glad 😊

sir, in your given exercise can we drop the independent variable by backward elimination process ??

this video really really very helpful. thank you so much for this amazing kwnldge please make more video request.

On first attempt, i considered 'left' as dependent variable and everything else including salary and department as independent variable, got 77% score of accuracy. Thanks for the wonderful video.

@codebasics

4 жыл бұрын

Great job manu. its a good score. Video description has a solution link, you can verify your code with mine.

I have a question, how is the slope value updated for logistic regression when finding the best fit plane or line to seperate the 2 classes? At first I thought gradient descent but that doesn't work because it is used to find the global minima

@ojassaxena2891

2 жыл бұрын

Maaeri aapahi hans di Maaeri aapahi rondi Maaeri yaad yaad wo aaeri

I like your tutorials very much, the explanation therein is superb and makes one understand even very hard to grasp concepts.

Suppose our target variable is in the form of categorical such as Yes & No. Then do we need to convert it as 1 & 0? Also, can we have a mixture of independent variable as categorical(string) and continous(numerical)?

just subscribed, your very good at explaining. thank you!

@codebasics

5 жыл бұрын

I am glad you liked it Pablo

Keşke türkçe altyazı da ekleseydiniz çok mutlu olurduk.Yine de elinize sağlık.

amazing tutorial!

Nice Sir, try to create SVM or PCA next with some mathematical explanation. thank you

Thanks one of the best tutorials !

@codebasics

5 жыл бұрын

Glad you liked it

awesome.... :) Sir, could you please make a video on how to detect and handle/dealing with outliers in model..? eagerly awaiting from you, haven't got any clarity on outliers.

Very nice and you present easiest way to understand. Thank you

thank you sir for your video.

Thanks a lot for the lucid explanation. In the exercise, I got an accuracy of 77.2% in my model prediction.

@kalaipradeep2753

10 ай бұрын

Hi bro... Now I learn machine learning... What are you doing.... I mean study or work

one of the best explanation I've ever seen

God bless you and may He provide angles to solve all your problems. Thank you

Thanks a lot for this i was able to implement logistic regression after so many tutorials

Hi, thank you for the super helpful video, I wanna ask why in the solution, you didn't drop 1 dummy variable (i.e drop medium and leave high and low) ?

Bro it was easy and clean. Thanks!

clearly understandable explanation. Thank you so much.

Very interesting and useful - well presented too

Thankyou very much for all help and support. Can you please make a video on mathematical explanation of sigmoid and logit function also ?

amazing. astounding. bewildering. breathtaking. extraordinary. impressive. marvelous. miraculous. even all these adjectives are less to tell the quality of the video. Thanks a million.

@codebasics

3 жыл бұрын

ha ha .. nice. you made my day with this shower of praise Siddhant. Thank you for your kind words :)

thank you for the content, helped me a lot!

A very nicely explained tutorial, thanks for sharing this. Can you please do a video on model validation techniques or guide me to some simple and intuitive online resource for the same.

excellent explanation...thanks lot.. please make video on deep learning model using tensorflow and caffe...

great again! looking forward to your future videos!

what is penalty=l2 in the output 5 at 13:56 ? Can you please explain the parameters of the function

Well explained, Thanks!

You guys are life savers. man love your videos.

@codebasics

4 жыл бұрын

Amanullah, I am happy it helped you :)

it is one of the fantastic videos about Logistic Regression .. Many thanks

Hello Sir actually I have one doubt Suppose We have multiple columns in our dataset and from that we have to plot the graph using all values. So shall we give all the column names as a parameter in the scatter()method Please reply me

Awesome as always, thanks for everything! i got a 77% model accuracy based on the satisfaction_level

@jsbean8415

4 жыл бұрын

How did you get the prediction model accuracy by depedent variable? And 77% meaning is the probability that they will leave the company?

@nxbil2397

4 жыл бұрын

@@jsbean8415 model.score()

@jsbean8415

4 жыл бұрын

@@nxbil2397 that will show you the overal accuracy of your model. My question is , how you will get the probablity % that the employee will leave given the dependent variables? Like the one you have mentioned "satisfaction level".

Thank you! So well done

Your way of teaching is very good. Thanks for the video ❤❤❤

thankyou for making videos, your content is great

Great explanation, I've understood everything, thanks!

@codebasics

8 ай бұрын

Glad you found it helpful!

Sir,how can we improve accuracy of model the model that I built for employee retention dataset is coming as 77%

@nxbil2397

4 жыл бұрын

Feed the model more dataset and train it will improve accuracy

Great explanation. Can you please share the slides you have used? Going through slides make it faster to revise the concepts.

Very helpful!

is this possible to have 0 and 1 both for the same age and we can compute them further based on probability?

Hey plz tell me what to do when I have multiple Columns like age ,weight , bmi that i need to consider for prediction

Why do we write x and y arguments in split method? Is it because of syntax?

Thanks. It is really informative.

Hi, i am working on a Bank Churners project and want to predict if a bank customer is leaving the services or not. I am asked to test a few different machine learning models and i want to know if logistic regression is suitable for a prediction model using 4 independent variables. I am thinking of using SVM and Random Forest too. What is your opinion ?

Many thanks this is the first explanation that provides context and examples making its so simple to understand.

@codebasics

2 жыл бұрын

Glad you liked it Michael

@engihabit

2 жыл бұрын

@@codebasics 15:35 I can’t execute it?? model.predict(57) and any number like 25, 60 got the following ValueError: Expected 2D array, got 1D array instead: array=[57].

Thank you Codebasicd for helping me understand Linear regression. I have question for Codebasics and everyone. please do well to answer me. thanks in advance. I want to perform a logistic regression. I was asked to use state and political party and vote gotten as my independent variable and make a prediction whether a political party wins or loses. I have 36 states in my country and i want to use 3 dominant parties i want to use as a case study. my problem is how the layout of these data will be; I am unable to resolve party been in a separate column unless I take one political party and take one state and do the prediction explicitly and then move on to another. Please i really needs you guys help to resolve these issue. Thanks in advance.