GitHub - sfeng15/Machine-Learning: Implemented Naïve Bayes, Support Vector Machines, Random Forests to classify faces and documents and achieved 92% average accuracy using R and Python. Implemented EM algorithms to segment images in Python. Used TensorFlow framework to implement Convolution Neural Networks to recognize hand written digits from MNIST datasets and images from famous Cifar 10 datasets.

sfeng15 / Machine-Learning Public

Implemented Naïve Bayes, Support Vector Machines, Random Forests to classify faces and documents and achieved 92% average accuracy using R and Python. Implemented EM algorithms to segment images in Python. Used TensorFlow framework to implement Convolution Neural Networks to recognize hand written digits from MNIST datasets and images from famou…

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Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
1_NaiveBayes		1_NaiveBayes
2_SVMRandomForest		2_SVMRandomForest
4_PCA		4_PCA
5_EM/hw5		5_EM/hw5
6_LinearLogisticRegression/assignment6		6_LinearLogisticRegression/assignment6
7_MultinomialRegression/7		7_MultinomialRegression/7
8_RegressionKernelFunction		8_RegressionKernelFunction
9_ConvolutionNeuralNetworks		9_ConvolutionNeuralNetworks
randomForestStockPrediction.py		randomForestStockPrediction.py