We believe, project-based learning goes a long way in ensuring retention. Many of us learned some coding language, and in due course, forgot it due to lack of application. Well, not anymore!
At Skillcate, we are on a mission to bring you application-based Machine Learning Education. With every Skillcate project, we attempt to solve a real business problem end-to-end. Do checkout our ML projects on this KZread Channel.
Our projects are industry ready. I’m sure you’ll get immensely benefited, by contextualizing these projects further to solve your live academic/business problem. For each project, we share a free Skillcate Do-It-Yourself toolkit, having: source code, training dataset & support files, for your hands-on.
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Tysm this saved me 😊
Very nicely explained
I'm watching this video for Data Analyst profile😅
Hi there, Why are we using Gaussian Naive Bayes here? In general Multinomial Naive bayes is used for text classification right.
can you please explain healthcare review dataset with review text and rating columns for ML project
a=float(input("enter 1st num:")) b=float(input("enter 2nd num:")) print("press 1 for addition press 2 for subtraction press 3 for multiplication press 4 for division press 5 for square press 6 for cube") choice=int(input("enter your choice between 1-4:")) if choice==1: print(a,"+",b,"=",a+b) elif choice==2: print(a,"-",b,"=",a-b) elif choice==3: print(a,"*",b,"=",a*b) elif choice==4: print(a,"÷",b,"=",a/b) elif choice==5: print(a,"²=",a**2) print(b,"²=",b**2) elif choice==6: print(a,"³=",a**3) print(b,"³=",b**3) else: print("invalid input") It can also do square and cube😊❤
Useful video. Very straight to point. Thank you 👏
Thanks! Please share it within your network! :)
"Thanks" is not enough for this video. It worked excellently. Appreciate your hard work my man!!
Hello sir Iam not getting verification code to my mobile number
amazing video) exactly what i was looking for) perhaps, you have credit scoring model using other methods? such as RandomForrest or Neural network MLP?
Thank you for this video. It helps a lot for a starter. But i got stuck at first. code: from sklearn.metrics import plot_confusion_matrix ImportError: cannot import name 'plot_confusion_matrix' from 'sklearn.metrics' (/usr/local/lib/python3.10/dist-packages/sklearn/metrics/__init__.py) I tried upgrading like: !pip install --upgrade scikit-learn from sklearn.metrics import plot_confusion_matrix but it still got the same error. I don't know what happened and what should i do. Maybe you know the answer. Please let me know if you have time to help me. Thank you!
Will it work now for X/Twitter?
Hats off sir please keep it up. you are doing great.
Super explanation bro
Same Error in all your deployed projects , kindly help `numpy.distutils` is deprecated since NumPy 1.23.0, as a result of the deprecation of `distutils` itself. It will be removed for Python >= 3.12. For older Python versions it will remain present. It is recommended to use `setuptools < 60.0` for those Python versions.
Bro how to overcome these kind of url link expired errors, ur errors
it is not predicting negetive comments , after entering bad it is still showing "positive" sentiment
Thank you bro, it worked like a charm.
how to open webcam
Definitely would recommend this as the video to watch if it's your first time trying to understand HOG. Best explanation I've seen so far! Thank you.
.\ENV\Scripts\activate does not activating can any one help me ??
Nice
can we stack these 3 models on top of each other if so how?
I have huge dataset about URL, so please help me to address Unlabeled this dataset to label it as malicious and benign
Bro, you missed the padding function(pad_sequences) to include in code....
Can you let me know how to save the model
Sir i am unable to see the datasets from the link u provided it is showing that no results found
10:58
Do training the model with rgb instead of grayscale improve the accuracy ? 😊
hi can you suggest how to solv the forbidden orror 403 i have followed the video but i can't solve it
Thank you so much sir. This really helped me in my project.
Glad to hear that!
Explained very well.
Glad that you liked it!
thank you for your video, please share the weights of your model
Hi! Thank you very much for your video. What if we have daily data on multiple flights, airlines, departure dates and routes? Would one hot encoding still be advisable if we have thousands of different airlines and cities? Thank you very much
Hello! I’m trying to create a ML flight price predictor model but with flights in Europe. I’m struggling to find this information, how did you came up all of that information?
I am trying to use the on demand Inference API of distilbert-base-uncased on Hugging face, but I cannot find it. Can I have a link to the service?
Can you tell me. Can we add recorded video for prediction
Sir , What a content you are making ! Hat's off to you man , Teaching in a very simple manner . Appreciated
Very Kind of you! Glad that you are finding it useful.
This extraordinary explanation encourage me to do this comment....really 👏 outstanding video...
Thank you so much 😀
Nice video. Thanks
Glad you liked it!
Anyone who has executed this. What was the path for the Bag of words.
Kindly , someome help how the decile formula was applied for all cells
it's shown in the video: in cell 61 we input formula: first row cell +1. And the stretch this formula down/ or copy this formula to all cells below / or double click the cell
also do project on fake reviews
WHERES THE "*CODE*" VIDEO FOR THIS FRONT AND BACK END CALCULATOR APPLICATION???????
Thank you for this video. It's very enlightening. However, I have a question. This is a fake news detection that is solely based on linguistic cues. The research I'm working on is more than just predicting based on linguistic cues but source credibility analysis and contextual analysis are involved too. How can I develop a fake news prediction model that will effectively detect if news is fake or real based on an extensive dataset such as the Twitter Truth Seeker dataset?
5:30
Basic Code (Re usable) def calculator(): number1 = int(input("Enter the first number: ")) number2 = int(input("Enter the second number: ")) operator = input("Enter the operator (+,-,*,/): ") if operator == "+": print(number1 + number2) if operator == "-": print(number1 - number2) if operator == "*": print(number1 * number2) if operator == "/": print(number1 / number2) ask = input("Would you like to do another calculation? (y/n) ") if ask == "y": calculator() else: print("Thank you for using the calculator!") calculator()
but it is taking the yes or no question first
I made a calculator that can add, sub and mult upto 5 numbers at once, divide, square and cube numbers.
What is the front end and back end of this project
Thanks for this wonderful project, please let me know one point about transfer learning. Have we used this? if yes then where and how. Thanks.
Basic calc : expression = input("Enter a mathematical expression: ") result = eval(expression) print("Result:", result)
Hi Sir.I used the same code and run it. But when the epochs are = 2 , code takes log time to run, even it doesn't execute. I even tried increasing the the number of epochs. Noprogress.How can I resolve it? :(
Where are you running the code? It is likely that you are training on CPU machine where it take longer time than gpu