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Projects used to analyze large datasets, implement various machine learning algorithms, and evaluate using various performance metrics. This repository specifically focuses on model design, development, and evaluation as opposed to other data science techniques such as story telling or feature engineering.

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Machine Learning: Model Planning, Building, and Evaluation

Projects used to analyze large datasets, implement various machine learning algorithms, and evaluate using various performance metrics. This repository specifically focuses on model design, development, and evaluation as opposed to other data science techniques such as story telling or feature engineering.

Some ML frameworks included in these projects are scikit-learn, tensorflow, keras, and apache spark.

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