Kaggle Competition Submissions 🚀 This repository contains my Kaggle competition submissions, including code, notebooks, and final predictions. The goal is to build high-performing models using machine learning & deep learning techniques to achieve top rankings and medals.

📌 Competitions & Submissions 1️⃣ Titanic - Machine Learning from Disaster Model Used: Logistic Regression & Random Forest Approach: Feature Engineering, Missing Value Imputation, Hyperparameter Tuning Score: 🚀 Bronze Medal 2️⃣ House Prices - Advanced Regression Techniques Model Used: XGBoost & LightGBM Approach: Feature Engineering, Outlier Handling, Stacking Models Score: 🚀 Bronze Medal 3️⃣ Digit Recognizer (MNIST Handwritten Digits) Model Used: Convolutional Neural Networks (CNN) Approach: Image Preprocessing, Data Augmentation, Dropout Regularization Score: 🚀 Targeting Silver Medal 💻 Repository Structure Copy Edit 📂 kaggle-submissions/ │── 📁 Titanic/ │ ├── titanic.ipynb │ ├── submission.csv │ ├── README.md │── 📁 House-Prices/ │ ├── house_prices.ipynb │ ├── submission.csv │ ├── README.md │── 📁 Digit-Recognizer/ │ ├── digit_recognizer.ipynb │ ├── submission.csv │ ├── README.md │── 📜 requirements.txt │── 📜 README.md ⚡ How to Use Clone this repository: bash Copy Edit git clone https://github.com/your-username/kaggle-submissions.git Navigate to a competition folder and run the notebook. Modify and submit predictions on Kaggle. 🚀 Future Competitions ✔️ Tabular Playground Series ✔️ Natural Language Processing (NLP) ✔️ Computer Vision Challenges

📢 Let's Connect! Kaggle: @devashishkomiya GitHub: @Devyash0601 LinkedIn: @Devashish-Komiya