This channel is dedicated to learners who wants to learn Data Science and Data Analytics. Most of the videos will be about Data Science tutorial. Starting from Python Data Analysis libraries like Numpy, Pandas, Matplotlib snd Scikit-Learn. The plan is to eventually move to Machine learning and deep earning tutorials. We will also develop algorithm and problem solving skills together. Our plan is to create a group of Data Scientists and Data analysts to learn from each other and help each other grow. We hope to be interactive in this this channel through constructive comments. Please subscribe and stay tuned if you want to keep learning with us.
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why did u choose degree 6?
That's just an estimate. degree is a hyperparameter here that you need to try different values to find the right one for you. Look at this video where you will find a method to tune the hyperparameter faster: kzread.info/dash/bejne/naFrk9Wrpbefmqg.html
Thanks for the video. A question: is poly.fit(X_poly_train, y_train) necessary?
Audio is not clear and your voice is also not audible
hi, I'm not able to find your video on improving the R2 score. Can you show me the video? Thanks
You can watch this one that shows how to fine tune hyperparameters that should improve R2 score: kzread.info/dash/bejne/eGVnucSfm9PdnNo.html
Thank you! this is excellent
It is best video for new learners
Madam can you prefer me any job link regarding AI ML jobs to me
nice video, thanks for your effort ❤
Madam need kmeans clustering and hierarchical clustering
Coming next..Thank you!!
I enjoy your tutorials. Thank you
I think its the best video of Correlation Matrix and Heatmap in Python, i have seen many videos but you teaching skill is best . Keep upload the videos and spread the knowledge , we will support you.
Your videos are truly remarquable. I’ve been also amazed by your simple explanations and tutorials. Do you offer mentorship for people wanting to learn more about data science or online sessions as a service? If so it would be great to get more informations. Keep up the good work!
sister thank you. one request kindly make a list of your videos in chronological order so that we know which video to follow first.
Please check the playlist. Each playlists are almost organized. Here is the playlist for the Supervised Machine Learning: kzread.info/dash/bejne/eqeTkpV6fLPNms4.html
@@regenerativetoday4244 thanks
at last something hands on with real problems. I'm tired of maths abstract bullshit formulas....
thank you! how to know p_value and if the coefficient is significant or not?
Thank you...
wonderful way to simplify a diffcult topic to beginners. keep it up!
Take better mic or make any post processing bruh. Your audio quality ve not increased for 2 years
Mam you explained so good!! Mam how can I see the equation made by my Decision Tree?
Amazing Mam!! very Wonderfully explained!!
I gone through all the videos of machine learning in your KZread channel madam but I need some guidance to get on job experience how it works
Do you have any specific question? If you want a job, you simply need to apply for jobs. If you can get some referral that helps.
@@regenerativetoday4244 I completed my btech graduation madam now I am practicing ai&ml in NIMSE institute Hyderabad
@@regenerativetoday4244 I need guidance for machine learning and deep learning notes
Madam I need guidance lines for AI&ML please help me
Thank you mam for such a wonderful learning!! I want to know further how can I improve my model accuracy with train score 0.75 and test score -1.12 ??
First is trying to tune hyperparameters, and also it is normal practice to try different models to find out which model works best for the dataset. Feel free to have a look at this video where you will find a technique for hyperparameter tuning: kzread.info/dash/bejne/naFrk9Wrpbefmqg.html
@@regenerativetoday4244 Thank you so much you have explained it Amazingly and this video made me very happy! Thank you for this video all the rest!!
Request for more Machine Learning Videos in details.
Thank you Mam you taught me linear regression in very simple and expert way!! I saw many videos and you will be amazed to know that you are the BEST!!
I discovered your Pandas MultiIndex and XS while browsing through the KZread. Very well explained and it really helped me to build these concepts.
Just an Brilliant Explanation Mam
Data isn't my background, but these videos help me understand how to structurally get there. Is there a way to export the predicted charges into a data population for further review. Also, is there a way to adjust the scatter plot dots by a filter on one of the independent variables (i.e. any record where age is 17, make the the plot red color). Thank you!
very detailed ...nice
how do input new input values and predict a value for them
Awesome as usual! You deserve way more recognition. As an HR professional, your videos help me apply ML into the HR field for classification problems and you have the best explanation for KNN. Thank you!
Thank you for the excellent post; what about other statistics like R-squared and correlation coefficient? Have you thought about the multivariate polynomial equation model? As you mentioned, training is overfitting but validation is very poor. Any suggestions are welcome.
If you are using this for a real world project, first try with different polynomial first and if you still do not get good results try other models. Usually for real world projects we try several different models with different parameters and finalize the best one.
@@regenerativetoday4244 Yes, I am using a real-world problem and trying to start with it before trying others.
@@regenerativetoday4244 Actually, I want to establish an empirical equation, as most of the other models are black boxes without equations.
Very well explained 🎉🎉 Thanks you so much 🎉🎉🎉
Thank you so much, u really explained everything so well
thank you so much
Very good video. About the model, dont you need to check if R-square need an adjust to trust his income?
There are a few different ways to check the model prediction. R-squared error is one of them. It is common for machine learning models to use mean squared error or mean absolute error as well.
Thanks for the amazing insights!
Please can you send me any link for case study using python polynomial regression (or multi polynomial) with data ? I want to practice.
Here it is: kzread.info/dash/bejne/oKWCxqSlcZDQZNo.html
@RegnerativeToday Do you mind sharing your note book publicly so we learners can clone and play with it? Thank you in advance.
I added the notebook in the description box. Also here for you: github.com/rashida048/TensorFlow-Tutorial/blob/main/TensorFlow_NN.ipynb. Thank you!
How do we access the dataset used?
my last stop. Great job done.
goated thank you!
I really like you, can you guide me how to build a KNN model and choose its parameter K?
This channel is super under-rated
Its showing a error as "df isn't defined "
This contained so much information in such a short time frame. Very Well prepared. :)
Is Learning deep learning relevant today? Now that LLMs are in place. Any model I want to build is already been built.
Heyy...I was learning ML can you make more videos for unsupervised learning, I really like your content.
Thank you for your support. I will make some contents on unsupervised learning.
Superb!
Why my coding shows "TypeError: float() argument must be a string or a real number, not 'Timestamp'"? which one could help me to solve this problem, plz!!
You need to check the data type of all the columns. If you see any variable is coming as timestamp, that needs to be excluded. Because this tutorial didn't account for datetime datatype. There are different ways of dealing with timestamps. You will find one way of using the timestamp data in this type of models in this tutorial: kzread.info/dash/bejne/fahtwaOCYZXXpLA.html
Thank you sooooo much!!!! really helpful:)@@regenerativetoday4244