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Kaggle(google) data science competitions

Current kaggle rank: Contributor, 2018 Jan

Competitions

==Year 2017 Competitions==

Date: 2017 Q4, Santa Gift Matching

Ranking: Top 13%

Rank: 50/371

Description: 1 million children. 1000 types of gifts, 1000 each. Using the wishlist and naughtylist, optimize distribution to maximize happiness of santa and children.

Ranking: Top 15%

Rank: 217/1514

Description: Automatically suggest product prices to online sellers

Ranking: Top 12%

Rank: 394/3294

Description: Classifying ship or iceberg from space with sattelite images

Ranking: Top 10%

Rank: 50/337

Description: Determine the species of a seedling from an image.

Ranking: Top 16%

Rank: 262/1644

Description: Predicting sales and forecast for a large grocery chain

Ranking: Top 23%

Rank: 312/1372

Description: Predicting how many future visitors a restaurant will receive

Date: 2017 Q4, Titanic (Practice)

Ranking: Top 2%

Rank: 142/9532

Description: Predicting each individual's survival on the titanic

Ranking: Top 3%

Rank: 89/2974

Description: Predicting property sales price and valuation

Ranking: Top 15%

Rank: 280/1949

Description: Computer vision fundamentals with the famous MNIST data

About

Competitive Data Science, ML & AI competitions on Kaggle. A repo for my projects and progress. My road to becoming a kaggle grandmaster.

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