Hi guys! I am making a "Hands-on Machine Learning course with Python" in RU-vid. I'll be posting 3 videos per week following the Machine Learning course order. Monday Evening, Wednesday Evening & Friday Evening. Interested people subscribe my channel. Thanks in advance.
27:30 The summation goes from 1 to n, not 1 to m. This is because m means total points, and n means number of dimensions. Loss is calculated for each dimension, and not each point. Am I right or did I misunderstand something?
Bro while foolwing the same codes it is showing a name error in the X_train, X_test,Y_train, Y_test = train_test_split(......)...and it shows like namerror : name 'train_test_split' is not defined. But I have givenfrom ""sklearn.model_selection import train_test_split"" in the beginning itself . Could anyone say why this error is happening to me?
Can I load the model from locally or hugging face using Ollama? And complete the rest of what you done. This is very important to my project. Please answer me. And thanks for help
Hi, the given train.csv file is not correctly formatted in terms if single and double quotes. I am not able import the file, I tried to add extra parameters in read_csv() in order to bypass theese bad lines but still not able to import this file, see how I approached it- import csv import sys csv.field_size_limit(sys.maxsize) chunks = pd.read_csv('/content/train.csv', engine="python", chunksize=5000, quoting=csv.QUOTE_NONE) news_dataset = pd.concat(chunks,ignore_index=True) I also tried below options - chunks = pd.read_csv('/content/train.csv', engine="python", chunksize=5000, quoting=csv.QUOTE_MINIMAL) chunks = pd.read_csv('/content/train.csv', engine="python", chunksize=5000, quoting=csv.QUOTE_MINIMAL, encoding='utf-8') The file does not have encoding issue, as It has same encoding of UTF-8, I have confirmed it in text editor. Finally I had to use on_line_bad="skip", along with quoting=csv.QUOTE_MINIMAL in order to skip the problematic rows. Is this right??
Thanks a lot, Learnt a lot from this video. Very happy to build my first image classifier model. Explained each and every line of code well. Thank you so much. Would recommend to everyone who wants to learn deep learning. Guys go for it!
Hi, thank you very much and really appreciate the knowledge you are sharing through this video. Would it possible to know, how to fine-tune a LLM in q&a format dataset please?
You are awsome brother! You are doing a very very great thing. I checked out your whole channel and found this is one of the best or all time best till now for me. Thanks bhai !
I purchased a course to learn this concept, but they weren't able to explain it the way you did. God bless you, thank you so much. Now all my basic doubts are cleared
i got many issues like in uploading file, in train_test_split etc but it suddenly worked . i tried to run all many times , but suddenly it got worked. i don't know what to say or how it will help
sir will this code will generate API even if our model is not able to run in python shell it is only able to run on google collab because of large training data and hardware restrictions