Sample codes showcases covering:
(In Python) • Design and evaluate (quasi) experiments for social scientists: RCT, RDD, IV. • Network effects: high dimensional data visualization, linear and non-linear clustering and classification, Gaussian mixture EM, social network graph centrality, spectral clustering and evolution. • Neural network and deep learning: feedforward, recurrent, convolutional networks, Natural Language Processing with reinforcement learning. • Climate data time series analysis (trend, seasonality, stationary) and stats modeling with ARMA models, Gaussian process and spatial prediction.
(In Stata)