Slashing Prices
Predict the lowest price for the products.
The dataset consists of various parameters such as the category of the market, category and quality of the product, its demand rate, and its original market price.The train set contains 7838 rows and 10 columns.The test set contains 1960 rows and 9 columns.
Abalone Age Prediction
Predict the age of abalones based on physical measurements.
The dataset contains all the necessary information about the abalones like their sex, length, diameter, height, weight, etc. The train set contains 3341 rows and 10 columns while the test set contains 836 rows and 9 columns.
Drug Prediction
Automatic drug presciption based on the health report of the person.
The dataset contains all the necessary information about the person’s health like their sex, BP, Age, Cholesterol etc. The train set contains 160 rows and 7 columns while the test set contains 40 rows and 6 columns.
Halloween Candy Winpercent Prediction
To predict the winpercent of halloween candies.
The dataset contains all the necessary information about the different candies present in a competition like sugarpercent, pricepercent. The train set contains 68 rows and 13 columns while the test set contains 17 rows and 12 columns.
Flight Passengers Satisfaction Prediction
Predicting the satisfaction level of flight passengers.
The dataset consists of information of passenger boarding and deboarding information and the services provided during the travel in flight. The train set contains 83123 rows and 24 columns while the test set contains 20781 rows and 23 columns.
Solar Radiation Prediction
Predicting the future solar radiations, based on the historical meteorological data.
The dataset contains 4 months of the measurements. The data comes directly from NASA’s weather research lab based on actual reading taken by their sensors situated at different locations. The train set contains 26148 rows and 12 columns while the test set contains 6538 rows and 11 columns.
DEFCON Level Classification
Classify the different DEFCON levels based on certain conditions.
The dataset contains synthesized data that can be used to build a model that can accurately predict the DEFCON level raised as a result of the conflict. The train set contains 8000 rows and 13 columns.The test set contains 2000 rows and 12 columns.
Slashing Price Prediction
Predict the lowest price for the products.
The dataset consists of various parameters such as the category of the market, category and quality of the product, its demand rate, and its original market price. The train set contains 7838 rows and 10 columns.The test set contains 1960 rows and 9 columns.
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