Hacktoberfest_2023

This repository is encourage people to contribute to open source throughout october.Follow me on Github🙊

Rules To earn your Hacktoberfest reward.

You must register and make four valid pull requests (PRs) between October 1-31 (in any time zone).
PRs can be made to any public repo on GitHub, only the ones with issues labeled Hacktoberfest.
If a maintainer reports your pull request as spam or behavior not in line with the project’s code of conduct, you will be ineligible to participate.

My First priority you have to just write your own word any of the machine Learning algorithm which is not there prevously.And give some real life application for better understandiing purpose.
Otherwise Anything which is realted To Machine Learning related but should be appropiate.
Word limit minimum-100 to maximum 1000
if possible write the blog on .md format.it's looks bettter.

Deadline is 31st October for Hacktoberfest but my repository always open for alltime.
I will personally check each Pull Request and Try to write your own words 🙂

To get approval of the pull request much quicker and faster (Follow Me)🚀

Name		Name	Last commit message	Last commit date
Latest commit History 54 Commits
EPL-Player-Market-Value-Prediction		EPL-Player-Market-Value-Prediction
Mobile-Price-Classification		Mobile-Price-Classification
Random Forest Algorithm		Random Forest Algorithm
Telecom Customer Churn Prediction		Telecom Customer Churn Prediction
Twitter Sentiment Analysis		Twitter Sentiment Analysis
heart_disease_prediction_model		heart_disease_prediction_model
Dimensionality Reduction Algorithms.txt		Dimensionality Reduction Algorithms.txt
KNN		KNN
LDA.txt		LDA.txt
LICENSE		LICENSE
Linear Discriminant Analysis		Linear Discriminant Analysis
Logistic Regression.md		Logistic Regression.md
README.md		README.md
Random_forest.txt		Random_forest.txt
Reinforcement Learning.txt		Reinforcement Learning.txt
Resume Quality Prediction Using Decision Tree (1).ipynb		Resume Quality Prediction Using Decision Tree (1).ipynb
Support Vector Machine (SVM)		Support Vector Machine (SVM)
regression.txt		regression.txt