Pinned Repositories
Coding
Document ideas for programming.
DataThink
Document ideas for handling data.
Optiver---Trading-at-the-close
Kaggle stock prediction competition
soft-skill
document how to practice soft skills
StudyPlanWithGreedyAlgorithm
Build a MAXHEAP according to positions' salaries, by comparing differences between parent nodes and child nodes, calculate the approximate value of each skill, combining them with estimated study time, and use greedy algorithm to make a study plan.
Certificates
datahubber
DS-Take-Home
My solution to the book A Collection of Data Science Take-Home Challenges
HMS---Harmful-Brain-Activity-Classification
Kaggle competition
Kaggle-Linking-Writing-Processes-to-Writing-Quality
Kaggle NLP competition
datahubber's Repositories
datahubber/MGH-Predict-patients-outcomes-in-different-treatments
To address patients to a treatment which is beneficial to them the most, building a machine learning model to predict their outcome (score delta) in different tracks based on their information before receiving treatment
datahubber/datahubber
datahubber/Certificates
datahubber/DataThink
Document ideas for handling data.
datahubber/Coding
Document ideas for programming.
datahubber/WorkExperience
datahubber/HMS---Harmful-Brain-Activity-Classification
Kaggle competition
datahubber/reading
reading notes and code
datahubber/Kaggle-Linking-Writing-Processes-to-Writing-Quality
Kaggle NLP competition
datahubber/Visualization
datahubber/Vesuvius-Challenge---Ink-Detection
Kaggle computer vision competition silver medal solution
datahubber/Optiver---Trading-at-the-close
Kaggle stock prediction competition
datahubber/soft-skill
document how to practice soft skills
datahubber/StudyPlanWithGreedyAlgorithm
Build a MAXHEAP according to positions' salaries, by comparing differences between parent nodes and child nodes, calculate the approximate value of each skill, combining them with estimated study time, and use greedy algorithm to make a study plan.
datahubber/DS-Take-Home
My solution to the book A Collection of Data Science Take-Home Challenges