Big Data Machine Learning - Johns Hopkins University
Python 3 Essential Training. ... (e.g. Pandas, NumPy, Scikit-Learn, Matplotlib, pattern, NLTK, etc). Topics that will be covered include: Principle Components Analysis, Multinomial Logistic Regression, Naïve Bayes, Perceptron, Support Vector Machines, Random Forest, Neural Networks, model evaluation ROC/AUC, k-fold cross-validation, etc ... ................
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