Kaggle – Africa Soil Property Prediction Challenge – top 10%

Kaggle – Africa Soil Property Prediction Challenge – top 10%

Advances in rapid, low cost analysis of soil samples using infrared spectroscopy, georeferencing of soil samples, and greater availability of earth remote sensing data provide new opportunities for predicting soil functional properties at unsampled locations. Soil functional properties are those properties related to a soil’s capacity to support essential ecosystem services such as primary productivity, nutrient and water retention, and resistance to soil erosion. Digital mapping of soil functional properties, especially in data sparse regions such as Africa, is important for planning sustainable agricultural intensification and natural resources management. Result: 67th/1,233 teams  > Link to competition  > Link to Kaggle...
Kaggle – Walmart – Store Sales Forecasting – top 10%

Kaggle – Walmart – Store Sales Forecasting – top 10%

Use historical markdown data to predict store sales. You are provided with historical sales data for 45 Walmart stores located in different regions. Each store contains a number of departments, and you are tasked with predicting the department-wide sales for each store.   In addition, Walmart runs several promotional markdown events throughout the year. These markdowns precede prominent holidays, the four largest of which are the Super Bowl, Labor Day, Thanksgiving, and Christmas. The weeks including these holidays are weighted five times higher in the evaluation than non-holiday weeks. Part of the challenge presented by this competition is modeling the effects of markdowns on these holiday weeks in the absence of complete/ideal historical data. Result: 18th/691 teams > Link to competition > Link to Kaggle...