Видео

good video👍

Thanks you very munch

Thanks for the in-depth explanation.Very Helpful

I cant believe such good content has only 50 views, great video sir, helped me to understand this topic better

What’s gradient descent

bro you were a great help keep making content

sir please give practical implemnetation if required otherwise where practical implemntaion is ncessary in GEN AI using GRU please explain

really great calculation thank you

Do you need to normalise the data?

Good

Sir i need some clarity on the level of DSA that recruiters expect, hope you can throw some light on it. Basically how much DSA is expected for becoming a data scientist?

“Highly appreciated”

Nice explanation!

Thanks man, it helped me a lot

link to the code: github.com/ShankarPendse/DeepLearning-Tutorials/blob/main/forwardpass.py

link to the code: github.com/ShankarPendse/DeepLearning-Tutorials/blob/main/two_neurons.py

link to the code: github.com/ShankarPendse/DeepLearning-Tutorials/blob/main/single_neuron.py

I have messed up the last part of explaination in this video. Treat Non spam as 0 (negative class) and spam as 1 (as positive class) then we are actually reducing False negatives that is, our model (custom ensemble) is actually doing good job in identifying the spam mails.

Is this NLP related

Sir could you upload a video showing how we can train a neural network and how the weights are updated without using in-built python libraries. It would be really useful as I am doing my final year project based on implementation of neural networks.

How to be successful in finding ml roles while you're transitioning from another data career . Currently I'm on SQL and reports . I'm preparing for ml and data science on my own since the day I got my job in SQL . Still I'm unable to find a role that accept fresh experience persons

when we used Random Forest with default parameters, the accuracy on test data was 88% but after hyper parameter tuning it was 84% so how did it become better. Please explain

Please explain the division of hourly data into categorical data formula

Great doing

Good sir g very informative project thanks🥰

Sir, Please Make a project by following all the steps you have shown in this video. Also, do the experimentation part for the better understanding for us. This will make me more confident in making project in real-world scenario as nobody has made such video till now on RUclips. Thank You 😊

finally someone who will give industry level knowledge for free. Hoping to learn projects implemented with fast api & deployment with CI/CD..

log of odds and maximum likelihood: ruclips.net/video/_1kIlACzrew/видео.html

Link to notebook: github.com/ShankarPendse/ML_tutorials/blob/main/k-means%20clustering.ipynb Link to dataset: github.com/ShankarPendse/ML_tutorials/tree/main/datasets/clustering

Link to notebook: github.com/ShankarPendse/Natural-Language-Processing/blob/main/RNN%20Language%20model%20Jack%20and%20Jill%20poem%20learning.ipynb

Please find the link to notebook: github.com/ShankarPendse/Natural-Language-Processing/blob/main/Sentiment%20analysis%20model%20using%20LSTM.ipynb remember, You can try to improve the model by adding another data preprocessing step, if you see the data carefully, there are some repeated characters for example: [mamamama, waaaaaaaaaaaa , fuuuu****dd, hjdjjsiurjhjfhoipwplkjdhjdhhjhjdxdhueuhrjjjjjaaayyyyyyyyyyyi] which I think might be contributing in dragging down the model training, you can remove these kind of words using regular expression and include it as part of preprocessing. Also, you can try to normalize the input data along the features which might help in faster training.

Nice explanation mama!!

How is scenario B High variance? There is just 3% difference ebtween train test accuracy?

ChatGPT 4o suggested this video for understanding log of odds n logistic regression

Very usefull sir thank you❤

Thanks, Very Clear Explanation. i usually share your videos to my peers who are starting out in ML.

I've never seen the gen_from_text thing before. interesting!

Thank you.... very helpful content

Hello sir, Having few doubts. Pls share your mail id.I want to connect with you

to calculate gradient, there are different formulas for both parameters. in the code above u have given same gradient value to both slope and intercept value

Thanks, I wanted to see how how gradient descent minimising cost without coding it my self. 🙂 this vid is perfect.

Assalamualaikum

Sir what is the filename in this video

Great

what is 'a' called as in minkowski distance metric?