https://github.com/Adam-maz/Various_Data_Sciences_Assays

Here I am presenting machine learning notebooks, which were used during kaggle competitions: "Titanic - Machine Learning from Disaster", Spaceship Titanic" and "House Prices - Advanced Regression Techniques".
https://github.com/Adam-maz/Various_Data_Sciences_Assays

ai boosting-algorithms classification data-science ipython-notebook kaggle-competition machine-learning regression

Last synced: 4 days ago
JSON representation

Here I am presenting machine learning notebooks, which were used during kaggle competitions: "Titanic - Machine Learning from Disaster", Spaceship Titanic" and "House Prices - Advanced Regression Techniques".

• Host: GitHub
• URL: https://github.com/Adam-maz/Various_Data_Sciences_Assays
• Owner: Adam-maz
• Created: 2024-06-06T11:20:46.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-12-09T18:26:42.000Z (over 1 year ago)
• Last Synced: 2025-01-04T08:29:39.946Z (over 1 year ago)
• Topics: ai, boosting-algorithms, classification, data-science, ipython-notebook, kaggle-competition, machine-learning, regression
• Language: Jupyter Notebook
• Homepage: https://www.kaggle.com/
• Size: 92.8 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
Here I am presenting some machine learning notebooks, which were used during kaggle competitions 

("Titanic - Machine Learning from Disaster", "Spaceship Titanic", "House Prices - Advanced Regression Techniques", "Digit Recognizer").