Scikit-learn is a machine-learning library in Python. It creates accessible and easy to use tools for data mining and data analysis. Built on NumPy, SciPy and matplotlib, the project is open source and available for commercial use with a BSD license.

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    there is no coding involved, all that is needed is to aid in downloading libraries and help running and to answer short simple questions, it is a jupyter notebook that does NLP

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    i have a dataset from 2013 to 2018 I need you to predict if an accident will happen in 2018, this means that the test data is 2018 while train and dev is using 2013~2017 data. This can be done by any kind of model, for the data description, i will explain more. Deliverables The task needs to be completed within 24~30 hours, this is fixed. predict a 2018 accident make an accuracy result comparing ...

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    I have a large dataset on which you need to perform the following: (a) exploratory data analysis; (b) simple visualizations; (c) classification. You need to implement at least three classification algorithms. For instance, you can implement Logistic Regression and SVM Classification as two of the three algorithms. That is it! This will be a maximum of four to five hours of work. I will take a look...

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