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Machine Learning

Intro to Datascience

Worked with python's various libraries such as Pandas and Numpy for creating and manupilating Dataframes. Course was via Udacity

ML - Trading

Working on basics of reading stocks information and retrieving selective information - Course via Udacity

ML_python_IBM

Learning about Supervised and Unsupervised learning and utilizing algorithms such as KNeighbors DecisionTrees, LinearRegression and use Train/Test split method to train data.

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Experiments with Supervised and Unsupervised learning algorithms

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