Predicting with Small Data using Bayes

We will use a small dataset of just 74 rows to create a Bayesian model (Multinomial Logistic Regression) using JAGS. Do you think you can make good predictions on such small dataset? »
Author's profile picture Venelin Valkov on data-science

Making Twitter Cool Again

We will assign tweets, fetched using the Twitter API, to topics/categories without training data. Using a Latent Dirichlet Allocation (LDA) topic model and R! »
Author's profile picture Venelin Valkov on data-science

Predicting House Prices

We will try to predict the sale price of houses in King County, USA using a decision tree model. Later, we will improve our predictions using Gradient Boosted trees. Using R! »
Author's profile picture Venelin Valkov on data-science

Diagnosing Breast Cancer from Image Data

Let's find out if a breast lump is benign or malignant with a dataset containing features of digitized biopsy images. We will train K-means clustering model to classify the type of tumor. All this using R! »
Author's profile picture Venelin Valkov on data-science