Oscar Engelbrektson's repositories
SyntheticControlMethods
A Python package for causal inference using Synthetic Controls
Modeling_Simulation
Modeling, Simulation, and Decision Making: Cellular Automata, Networks, and Monte Carlo simulations.
Comparing_Synthetic_Control_Methods
Work on empirical comparison of synthetic control models
Machine_Learning
Core machine learning techniques — such as classification, perceptron, neural networks, support vector machines, hidden Markov models, and nonparametric models of clustering — as well as fundamental concepts such as feature selection, cross-validation, over-fitting and expectation maximisation.
Modern_Computational_Statistics
Connecting probability theory and statistics with Bayesian inference. Focusing on the data modeling process, probabilistic graphical models and Monte Carlo sampling.
Algorithms_and_Data_Structures
Design and analysis of algorithms and data structures to solve complex problems. Techniques include hashing, searching, sorting, tree algorithms, dynamic programming etc.
Causal-Inference
Causal Inference in Statistics (Pearl). Topics covered: Structural Causal Models, Interventions, Counterfactuals and their applications.
CS162
Software Development
Greenhouse_Emissions_Algeria
Understanding trends, seasonalities, and processes of some of the most prominent greenhouse gases in the atmosphere.
Modeling_Cost_of_Basic_Goods
Bayesian modelling of the determinants of food prices using original dataset.
opengpt2
Deploy OpenAI's GPT-2 to production
Synthetic_Control_Method
Comparative Case Studies using The Synthetic Control Method
ThinkBayes
Code repository for Think Bayes.