Month: March 2018
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Python Scikit Learn Random Forest Classification Tutorial
Random Forest Random forest is a classic machine learning ensemble method that is a popular choice in data science. An ensemble method is a machine learning model that is formed by a combination of less complex models. In this case, our Random Forest is made up of combinations of Decision Tree classifiers. How this work
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Build Your First Neural Network With Python And Keras
Keras Deep Learning Keras is one of the most popular software frameworks used currently for deep learning in python. It is a higher level api that makes it extremely simple to build deep neural nets on top of frameworks such as Tensorflow, Theano, and CNTK. In this example, we will use the mnist dataset that
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The Different Types Of Machine Learning Problems
Types Of Machine Learning There are 3 main types of machine learning problems: Supervised Machine Learning Unsupervised Machine Learning Reinforcement Learning Supervised Machine Learning In supervised machine learning, there is usually labeled data that is used to predict a target attribute. The main classes of supervised machine learning: Classification Regression Classification is used when you
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