Choosing the Right Machine Learning Algorithm
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Price: 49.99$
This course covers the basics of the following algorithms: Linear Regression Logistics Regression Decision Trees K-Means PCASupport Vector Machines Random Forest Apriori Adaptive Boosting Naïve Bayes Neural Networks For each of these, the course dives into the underlying concept, pros & cons, and the different practical business use cases where each of these algorithms work well. For those interested in getting their hands dirty, there are also sample implementations of the algorithms in Python
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