Integrate Python, R, and Julia in a single Jupyter Notebook for efficient data analysis by using Julia for fast data preparation, Python for machine learning, and R for visualization with ggplot2. Ensure all necessary kernels and libraries are installed for seamless operation.

We used logistic regression and random forest to predict user behaviors on a Chinese social network, Weibo.

This project uses several machine learning models to predict reservation cancellation. Among them, DART in LightGBM beats other competitors with highest testing accuracy (table) and also other metrics.

This issue is related to Sklearn, one solution is to state a eligible Solver .