- Convolutional Neural Networks with TensorFlow
A cursory overview of CNNs with a practical example using MNIST.
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- Bayesian A/B testing with Thompson sampling
A theoretical and practical illustration of Bayesian inference.
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- Theano with RMSProp and momentum
A demonstration of Theano basics using the classic MNIST digits dataset.
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- Neural networks
A demonstration of forward and backpropagation using mathematical derivation and python.
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- Maximum likelihood and gradient descent demonstration
A mathematical and python tutorial using logistic regression.
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- Predicting house prices using model blending
Using LASSO and XGBoost for the Kaggle House Prices competition.
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- Who will survive the shipwreck?!
Explaining my model for the Kaggle Titanic competition.
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- Predicting status of Tanzanian water pumps
A walk-through of the python random forest model I constructed for a DrivenData's Pump it Up competition.
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- Website launch!
This post marks the release of my website.
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