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Randal Scott King

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Random Forests in Python

Random Forests, a type of classification method, are widely adopted in Data Science for good reason. Random Forests in Python are particularly easy … [Read more...] about Random Forests in Python

Linear Regression in Python

Linear Regression in Python is easy to implement and is useful for predicting continous numbers (such as forecasting revenues or predicting a house … [Read more...] about Linear Regression in Python

Cross-Validation in Scikit-learn

Cross-validation in Scikit-learn is important because it gives us not only the means to train our model, but also to score its effectiveness. Without … [Read more...] about Cross-Validation in Scikit-learn

Data Warehousing with Hadoop

  Almost from the moment Hadoop was first introduced, organizations have sought to replace their expensive data warehousing systems with it. … [Read more...] about Data Warehousing with Hadoop

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