Skip to content
View Yuwin2008's full-sized avatar
😎
Focusing
😎
Focusing
  • India

Block or report Yuwin2008

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Yuwin2008/readme.md

Hi there 👋 I'm an ML Enthusiast

🚀 About Me

I’m an aspiring Machine Learning Engineer focused on building real-world, end-to-end ML projects.
I enjoy learning by doing—experimenting with datasets, improving models, and participating in Kaggle competitions.

  • 🧠 Currently learning Machine Learning fundamentals (Géron-style approach)
  • 📊 Practicing on Kaggle datasets & competitions
  • 🐱🐶 Love working on classification and real-world problems
  • 🤝 Open to hackathons and collaborations

🛠️ Tech Stack

  • Python
  • NumPy, Pandas
  • Scikit-learn
  • Matplotlib / Seaborn
  • Jupyter Notebook
  • Git & GitHub

📈 What I'm Working On

  • Improving ML model performance through feature engineering & tuning
  • Participating in Kaggle competitions
  • Building small but complete ML projects end-to-end

🏆 Goals

  • Become a strong Machine Learning Engineer
  • Compete in top Kaggle competitions
  • Join hackathons and collaborate on impactful projects

📫 Connect With Me


“Code. Train. Improve. Repeat.”

Pinned Loading

  1. credit-card-fraud-detection-ml credit-card-fraud-detection-ml Public

    Credit Card Fraud Detection using Machine Learning | Logistic Regression • Decision Tree • Linear SVC • Random Forest • Hyperparameter Tuning • Cross Validation

    Jupyter Notebook

  2. Used-Car-Price-Prediction Used-Car-Price-Prediction Public

    End-to-End Used Car Price Prediction using Ensemble Learning | Extra Trees, Random Forest, Gradient Boosting | Python • Scikit-learn

    Jupyter Notebook 1

  3. loan-approval-prediction loan-approval-prediction Public

    Loan Approval Prediction using Ensemble Learning | AdaBoost, Random Forest, Gradient Boosting, Scikit-Learn Pipeline & Hyperparameter Tuning

    Jupyter Notebook

  4. forest-cover-type-decision-tree forest-cover-type-decision-tree Public

    Decision Tree Classification on the Forest Cover Type dataset with overfitting analysis, hyperparameter tuning, feature importance and Random Forest comparison.

    Jupyter Notebook

  5. fashion-mnist-classification-workflow fashion-mnist-classification-workflow Public

    Fashion MNIST classification workflow: SGD, Random Forest, KNN, OvR SVC, ROC AUC, threshold tuning, and error analysis.

    Jupyter Notebook 1

  6. human-activity-recognition-svm human-activity-recognition-svm Public

    Human Activity Recognition using Support Vector Machines (Linear SVM, RBF Kernel, GridSearchCV) built with Scikit-learn.

    Jupyter Notebook 1