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🌱 Learning advanced Machine Learning algorithms
💭
🌱 Learning advanced Machine Learning algorithms
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shlokshukla200/README.md

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💫 About Me:

Machine Learning projects focusing on algorithm implementation and model performance

I'm looking to collaborate on:

Projects related to Machine Learning, Deep Learning, and Python-based solutions

I'm looking for help with:

Improving understanding and application of advanced ML algorithms

I'm currently learning: Machine Learning algorithms, model evaluation techniques, and feature engineering

🌐 Socials:

LinkedIn

💻 Tech Stack:

Python Matplotlib NumPy Pandas scikit-learn

📊 GitHub Stats:



🏆 GitHub Trophies

🔝 Top Contributed Repo

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  1. ML-Capstone_Project ML-Capstone_Project Public

    🧠 A machine learning project that predicts employee salary (Expected CTC) using historical company data — promoting fairness and reducing human bias in compensation decisions. Built with Python, XG…

    Jupyter Notebook 1

  2. ML-Random_Forest ML-Random_Forest Public

    A multi-class classification project utilizing a Random Forest Classifier to accurately predict a student's stress level (Low, Medium, or High) based on 20 psychological and academic factors, achie…

    Jupyter Notebook 1

  3. ML-Logistic_Regression ML-Logistic_Regression Public

    This repository contains a Logistic Regression model designed to predict whether it will rain tomorrow (RainTomorrow) based on various weather-related features from the Weather_Australia.csv datase…

    Jupyter Notebook

  4. ML-Linear_Regression ML-Linear_Regression Public

    Multiple Linear Regression – Insurance Premium Prediction This project demonstrates the implementation of Multiple Linear Regression to predict insurance charges based on key features such as age, …

    Jupyter Notebook