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This repository if open for people who wants to contribute in Hacktoberfest and have some knowledge in the field on Machine learning

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.ipynb_checkpoints
.ipynb_checkpoints
 
 
Breast cancer
Breast cancer
 
 
Data
Data
 
 
NLP spam detector
NLP spam detector
 
 
SIMPLE TEXT BASED AI CHATBOT
SIMPLE TEXT BASED AI CHATBOT
 
 
Sensor Electrodes
Sensor Electrodes
 
 
catboost_info
catboost_info
 
 
AI_trainer.py
AI_trainer.py
 
 
Analysis of sensor outputs of electrodes.ipynb
Analysis of sensor outputs of electrodes.ipynb
 
 
CNN_CV_ML_AI_Paper_Rock_Scissor.ipynb
CNN_CV_ML_AI_Paper_Rock_Scissor.ipynb
 
 
CODE_OF_CONDUCT.md
CODE_OF_CONDUCT.md
 
 
CONTRIBUTING.md
CONTRIBUTING.md
 
 
California Housing.ipynb
California Housing.ipynb
 
 
Chatbot2_New.ipynb
Chatbot2_New.ipynb
 
 
Contributors.md
Contributors.md
 
 
Customer Churn Prediction.ipynb
Customer Churn Prediction.ipynb
 
 
Ecommerce spending.ipynb
Ecommerce spending.ipynb
 
 
Face Detection.py
Face Detection.py
 
 
FakeNewsClassifier.ipynb
FakeNewsClassifier.ipynb
 
 
Fashion dataset.ipynb
Fashion dataset.ipynb
 
 
Handwritten Digits Recognition.ipynb
Handwritten Digits Recognition.ipynb
 
 
Heart Attack Prediction.ipynb
Heart Attack Prediction.ipynb
 
 
House Rent Prediction.ipynb
House Rent Prediction.ipynb
 
 
IPL-Analysis.ipynb
IPL-Analysis.ipynb
 
 
Iris_data_clustering.ipynb
Iris_data_clustering.ipynb
 
 
NLP_Hate_Speech_Detection.ipynb
NLP_Hate_Speech_Detection.ipynb
 
 
Predicting Credit Card Approval.ipynb
Predicting Credit Card Approval.ipynb
 
 
README.md
README.md
 
 
Rock_Scisorss_Paper_with_AI_Method.ipynb
Rock_Scisorss_Paper_with_AI_Method.ipynb
 
 
Sentence_Transformer (1).ipynb
Sentence_Transformer (1).ipynb
 
 
Small Image Classification.ipynb
Small Image Classification.ipynb
 
 
Spam Classifier.ipynb
Spam Classifier.ipynb
 
 
Stock Market Prediction.ipynb
Stock Market Prediction.ipynb
 
 
StockPricePrediction_NEURAL NETWORK.ipynb
StockPricePrediction_NEURAL NETWORK.ipynb
 
 
Store Sales Clustering.ipynb
Store Sales Clustering.ipynb
 
 
Students Exam Performance.ipynb
Students Exam Performance.ipynb
 
 
Summarization_using_T5_transformer (1).ipynb
Summarization_using_T5_transformer (1).ipynb
 
 
Titanic Survival Prediction.ipynb
Titanic Survival Prediction.ipynb
 
 
ZomatoDatasetAnalysis.ipynb
ZomatoDatasetAnalysis.ipynb
 
 
abalone_dataset.ipynb
abalone_dataset.ipynb
 
 
face_mesh_module.py
face_mesh_module.py
 
 
sales-prediction.ipynb
sales-prediction.ipynb
 
 
stockpriceprofit.py
stockpriceprofit.py
 
 

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Hacktoberfest2022

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Open Source Love

Feel free to contribute to this repo by creating and editing jupyter notebooks.

If you want to practice to make a pull request, follow the CONTRIBUTING.md

Check out good-first-issues for contributing here


Author

Contributing

Please read CONTRIBUTING.md and CODE_OF_CONDUCT.md for details on our code of conduct, and the process for submitting pull requests to us.

Rules

  • Read the CONTRIBUTING.md file.
  • Respect people.
  • Be friendly, helpful, and patient.
  • You can contribute in any way.

Support

If you like this project, please consider supporting it by giving it a ⭐️. It will help us to grow and improve this project and help others to find it.

Conclusion

  • Happy Contributing! 🎉
  • May you have a great Hacktoberfest 2022! 🎉
  • If you have any questions, feel free to ask me. I will be happy to help you. 😊

References


  • This project and other projects listed above are a part of Hacktoberfest 2022 and are open to all members of the GitHub community. Any member may contribute to these projects without being a collaborator or a maintainer and earn a T-shirt from DigitalOcean and DEV by making four valid pull requests (PRs) between October 1-31 (in any time zone).

  • The first 40,000 participants (maintainers and contributors) who complete Hacktoberfest can elect to receive one of two prizes: a tree planted in their name, or the Hacktoberfest 2022 t-shirt.

✨ Thanks goes to these wonderful people ✨

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This repository if open for people who wants to contribute in Hacktoberfest and have some knowledge in the field on Machine learning

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