Financial Prediction Using Machine Learning

This competition is private-entry. You can view but not participate. In this practice, you will try to build your own machine learning algorithm or model, and generate your own probability estimates on the dataset provided. You will be provided with two separate datasets. Use the training data to train your machine learning algorithm. The first column in training data is a unique data ID, the following 32 columns are features, and target in the last column is the binary class you’re trying to predict.  Once you’ve built your model and trained it using the training data, you can use it to generate your own probability estimates based on the testing data. The testing dataset provides the similar information in each column as that of the training data, with the only…


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