Applying various machine learning classification techniques on a dataset which contains around 3.3K datapoints of Gene ( Gene causing cancer ), Variations ( Variations in the architecture of amino acids or variations in protein-protein interactions ) and TEXT ( Medical Literature which will help in classifying the type of cancer) . Here our task is to classify the given datapoint consisting information of Gene and Variation into one of the 9 cancer classes mentioned in the dataset using medical literature .
dsun2/Personalized-Cancer-Diagnosis
Applying various machine learning classification techniques on a dataset which contains around 3.3K datapoints of Gene ( Gene causing cancer ), Variations ( Variations in the architecture of amino acids or variations in protein-protein interactions ) and TEXT ( Medical Literature which will help in classifying the type of cancer) . Here our task…
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