First place IITAGNE 2019 Data Science Challenge solution
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Updated
Jul 16, 2019 - Jupyter Notebook
First place IITAGNE 2019 Data Science Challenge solution
Datamining algorithm: Euclidean distance and gbdt.
A version of GBDT implementation in python and C++
According to the Irish Solar Energy Association (ISEA) around two hundred large-scale solar farms have received planning permissions across the country with investments exceeding a billion euros. Ireland, however, is trailing in its target to meet the carbon reduction standards set by the European Union that must be met by 2020. Ideal locations …
Applied Random Forest and Gradient Boosting Decision Tree algorithm on Donors Choose Dataset
Classification and Regression problems
A Classification problem, given text review to determine whether the review is +ve or -ve using various ML algorithms. Here we are finding the model that peforms well using AUC as a metric.
A notebook repository for tracking learning machine learning notebook.
A simple stand-alone version of XGBoost named EasyXGB.
Built Random Forest and GBDT using XGBOOST model on Amazon fine food review dataset
AI 小项目代码、笔记
Analyze ~500,000 food reviews from Amazon
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