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customer_segments
customer_segments PublicReviewed unlabeled data to understand the patterns. Applied unsupervised learning methods (PCA and KMeans) to cluster data into natural categories they fit into. Interpreted the findings.
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boston_housing
boston_housing PublicBuilt a model to predict the value of a given house in the Boston real estate market using decision tree. Identified the best price that a client can sell their house utilizing machine learning.
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finding_donors
finding_donors PublicInvestigated factors that affect the likelihood of charity donations being made based on real census data. Trained and tested several models, and selected the best one based on F-score and efficiency.
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smartcab
smartcab PublicApplied reinforcement learning to build a simulated self-driving car. Used Q Learning to automatically learn an optimal strategy based on rewards and penalties.
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cifar10tf
cifar10tf PublicTrain a CNN with Tensorflow to classify images in the classic CIFAR-10 dataset.
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