CNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).

Kaggle을 처음 접하는 사람들을 위한 문서

Kaggle Kernels (Python, R, Jupyter Notebooks)

My_homebrewed_NOTEBOOKS is a GitHub repository that houses a collection of personal notebooks derived from various sources, including Kaggle and Jupyter Notebooks. This repository serves as a curated collection of notebooks created and customized by the repository owner, providing a valuable resource for learning and exploring different topics.

This notebook explores the housing dataset from Kaggle to predict Sales Prices of housing using advanced regression techniques such as feature engineering and gradient boosting.

A collection of Jupyter notebooks and a Python library for Machine Learning projects.

All my Kaggle Notebooks that I've published

My contributions in Kaggle, mostly in a notebook format. Just for fun.

For someone who is new at Kaggle

I'm attempting the NYC Taxi Duration prediction Kaggle challenge. I'll by using a combination of Pandas, Matplotlib, and XGBoost as python libraries to help me understand and analyze the taxi dataset that Kaggle provides. The goal will be to build a predictive model for taxi duration time. I'll also be using Google Colab as my jupyter notebook.…

Explore the fascinating world of real estate data with this Jupyter Notebook! 🏠📈 Dive into feature engineering, data analysis, and advanced ML models for predicting house prices. 🚀🔍 Contribute to the data science community and sharpen your skills! 💡✨

My kaggle competition solution and notebook

My Kaggle Projects

Kaggle competition- colab notebook

📖 Jupyter notebooks

My solution to the Predict Future Sales competition with was the final project of the 'How to Win a Data Science Competition: Learn from Top Kagglers' course on Coursera

The solution of the Kaggle Competition for predicting the survivors in the Titanic Tragedy