simple solution based on Gradient Boost and Random Forest, rank 24/3251 (top 1%) within 60 lines of python code
Statistics for this project are still being loaded, please check back later.
My activities for data science learning club at http://becomingadatascientist.com/learningclub
Predict people interest in renting specific NYC apartments. The challenge combines structured dat...
🚲 BiciMAD - Data analysis + ML usage predictions of Madrid's public bike system data
Tutorial on visualising data in Python: matplotlib, pandas, seaborn, plotly...
CatBoost tutorials repository
This repo contains the files created for machine learning using python
Extracting and Transforming Citi Bike Data for Analysis
KDD Cup 2020 Challenges for Modern E-Commerce Platform: Debiasing Full榜15 Half榜13
Data processing for a CitiBike trip data visualization.
Python tutorials in both Jupyter Notebook and youtube format.
General Assembly's Data Science course in Washington, DC