Wide-Resnet-Ensemble implementation for CIFAR100 kaggle submission: >83.97% on kaggle private leaderboard
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Updated
Feb 22, 2018 - Lua
Wide-Resnet-Ensemble implementation for CIFAR100 kaggle submission: >83.97% on kaggle private leaderboard
Predictive analysis, with feature engineering, and machine learning (ML) algorithms, such as linear regression, applied to predict the final sale price of homes in Ames, IA from 2006-2010.
This is the solution to a kaggle competition done as Data Science Course-Project exploring and applying various Data Science techniques whose code, final report is provided in repo. The kaggle submission link is attached here.
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