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Practical example using python to train a decision tree

Various Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification using Python

A python based machine learning model,which uses algorithms like the Naive Bayes algorithm and Decision tree classifier algorithm,to predict whether a posted job is fake or real.

A full stack python Flask artificial intelligence project capable of beating the human user in Rock Paper Scissors over 60% of the time using a custom scoring system to ensemble six models (naïve logic-based, decision tree, neural network) trained on both game-level and stored historical data in ... Read more

Thanks to digitization, we often have access to large databases, consisting of various fields of information, ranging from numbers to texts and even boolean values. Such databases lend themselves especially well to machine learning, classification and big data analysis tasks. We are able to train... Read more