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Achievement: YOLOAchievement: Quickdraw

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Achievement: YOLOAchievement: Quickdraw

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Tuhin092005/README.md

Hi, I'm Tuhin Maji

🎓 B.Tech CSE (AIML) Student | 🐍 Python Developer | 🤖 Machine Learning Enthusiast

🧑‍💻 About Me

  • 🎓 B.Tech in Computer Science & Engineering (Artificial Intelligence & Machine Learning)

  • 🏫 Meghnad Saha Institute of Technology (MSIT), Kolkata

  • 📚 4th Year | 7th Semester

  • 🐍 Passionate about Python, Machine Learning, Deep Learning & Data Science

  • 🤖 Building real-world AI/ML projects using Python and Scikit-Learn.

  • 📊 Interested in Machine Learning, NLP, Prediction Systems & Data Analytics.

  • 🔍 Currently learning TensorFlow, PyTorch, Deep Learning & NLP.

  • 💡 Always exploring new technologies and improving problem-solving skills.

  • 🚀 Working on practical projects with real-world datasets and predictive models.

  • 🎯 Aspiring Machine Learning Engineer | Python Developer



🚀 Tech Stack

👨‍💻 Languages

🤖 Machine Learning & Data Science

🔧 Tools & Platforms

🌟 Featured Projects

🌊 Flood Risk Prediction System

ML-based system for predicting flood risk using environmental and geographical data for early flood prediction and risk classification.

🛠️ Technologies

Python Pandas NumPy Matplotlib Seaborn Scikit-Learn Joblib

📚 Machine Learning Techniques

Data Preprocessing Missing Value Handling Duplicate Removal Label Encoding

Feature Scaling Train-Test Split Feature Importance Analysis

🤖 Models

Logistic Regression Decision Tree Classifier Random Forest Classifier

📊 Features

Model Accuracy Comparison Confusion Matrix Classification Report Feature Importance Visualization

Flood Risk Prediction (High / Low) Trained Model Saving (.pkl)

🛡️ Network Intrusion Detection System

Machine Learning-based intrusion detection system for detecting malicious and normal network traffic using the NSL-KDD dataset.

🛠️ Technologies

Python Pandas NumPy Matplotlib Seaborn Scikit-Learn Joblib

📚 Machine Learning Techniques

Data Cleaning Missing Value Handling Duplicate Removal Label Encoding

Feature Scaling Binary Classification Feature Importance Analysis

🤖 Models

Logistic Regression Decision Tree Classifier Random Forest Classifier

📊 Features

Model Accuracy Comparison Confusion Matrix Classification Report Top Feature Importance Visualization

Intrusion Prediction (Normal / Attack) Trained Model Saving (.pkl)

💳 Online Payment Fraud Detection

Machine Learning system for detecting fraudulent online payment transactions using transaction details and behavioral features.

🛠️ Technologies

Python Pandas NumPy Matplotlib Seaborn Scikit-Learn Joblib

📚 Machine Learning Techniques

Data Preprocessing Missing Value Handling Duplicate Removal Label Encoding

Feature Scaling Fraud Classification Feature Importance Analysis

🤖 Models

Logistic Regression Decision Tree Classifier Random Forest Classifier

📊 Features

Model Accuracy Comparison Confusion Matrix Classification Report Feature Importance Visualization

Fraud Detection (Fraudulent / Legitimate) Trained Model Saving (.pkl)

🚗 Fuel Efficiency Prediction

Regression-based Machine Learning system for predicting vehicle fuel efficiency (MPG) using automobile specifications.

🛠️ Technologies

Python Pandas NumPy Matplotlib Seaborn Scikit-Learn Joblib

📚 Machine Learning Techniques

Data Preprocessing Missing Value Handling Duplicate Removal Label Encoding

Feature Scaling Train-Test Split Regression Evaluation Feature Importance Analysis

🤖 Models

Linear Regression Decision Tree Regressor Random Forest Regressor

📊 Features

R² Score Comparison MAE MSE RMSE Evaluation Actual vs Predicted Visualization

Feature Importance Visualization Fuel Efficiency Prediction (MPG) Trained Model Saving (.pkl)

📊 GitHub Analytics

🔥 GitHub Streak

🏅 GitHub Achievements

YOLO

Merged a pull request without a review

Quickdraw

Closed an issue or pull request within 5 minutes

🐍 Contribution Snake

📚 Currently Learning

🌐 Connect With Me

⭐ Thanks for visiting my GitHub profile! If you like my projects, consider giving them a star.

Popular repositories Loading

  1. Python-Notes Python-Notes Public

    Beginner-friendly Python programming notes covering basics, data structures, functions, OOPS, exception handling, modules, packages, and virtual environments.

    Jupyter Notebook

  2. Machine-Learning-Algorithms Machine-Learning-Algorithms Public

    Jupyter Notebook

  3. Mini-Project-With-Python Mini-Project-With-Python Public

    Hospital Patient Management System

    Python

  4. Project_1_Flood_Risk_Prediction_System_Using_Machine_Learning Project_1_Flood_Risk_Prediction_System_Using_Machine_Learning Public

    A Machine Learning-based Flood Risk Prediction System that predicts flood occurrence using environmental and geographical factors with Logistic Regression, Decision Tree, and Random Forest algorith…

    Jupyter Notebook

  5. Project_2_Network_Intrusion_Detection_System_Using_Machine_Learning Project_2_Network_Intrusion_Detection_System_Using_Machine_Learning Public

    A Machine Learning-based Network Intrusion Detection System (NIDS) that detects normal and malicious network traffic using Logistic Regression, Decision Tree, and Random Forest algorithms. Built wi…

    Jupyter Notebook

  6. Project_3_Online_Payment_Fraud_Detection_System_Using_Machine_Learning Project_3_Online_Payment_Fraud_Detection_System_Using_Machine_Learning Public

    A Machine Learning-based Online Payment Fraud Detection System that identifies fraudulent and legitimate transactions using Logistic Regression, Decision Tree, and Random Forest algorithms. Built w…

    Jupyter Notebook