The repository contains the simple implementation in C++ & Python of 12 machine learning models when I start to study machine learning

• OS: Windows 8.1
• Language: C++ & Python(3.4.3)

1.C++

• [Perceptron] (/Perceptron)
• [k-nearest-neighbors] (/K-Nearest-Neighbor)
• [Naive-Bayes] (/NaiveBayes)
• [Decision Tree] (/DecisionTree)
• [AdaBoost] (/AdaBoost)
• [Gaussian Mixture Model] (/GMM_ExpectationMaximization)
• [Hidden Markov Model] (/HiddenMarkovModel)
• [FP-Growth] (/FPGrowth)
• [DBSCAN] (/DBSCAN)
• [RandomForest] (/RandomForest)

2.Python

• [Logistic] (/Logistic)
• [Support Vector Machine] (/SVM)
• [KMeans] (/KMeans)
• [Apriori] (/Apriori)