Comparing Statistical Models
Theory: how to decide which model is better?
Currently in english
Predicting COVID-19
Demo: Predicting COVID-19 in São Paulo, Brazil, using Bayesian Regression
Currently in english
Intro to Python
Demo: The basics of Python + Numpy & Pandas
Currently in pt-br
Intro to Prob & Stats
Demo: The basics of probability, descriptive stats and inference
Currently in pt-br
Intro to Regression
Demo: The basics of Linear Regression and Neural Nets for Regression
Currently in pt-br
Intro to Classification
Demo: The basics of Logistic Regression and Neural Nets for Classification
Currently in pt-br
Intro to Clustering
Demo: The basics of Clustering with K-Means
Currently in pt-br
Decision Theory
Demo: How to choose the best binary classifier threshold?
Currently in pt-br
Intro to Tensorflow/Keras
Demo: Building your first Neural Networks.
Currently in pt-br
Exploring Logistic Regression
Demo: An alternative intro to classification and logistic regression.
Currently in pt-br
Applied Gibbs Sampler to Bayesian Analysis
From Scratch
Currently in pt-br
Bayesian Neural Nets
From Scratch
Currently in pt-br
Optimization 1
Demo: Newton-Raphson
Currently in pt-br
Optimization 2
Demo: Simulated Annealing
Currently in pt-br
Text classification 1
Demo: Doc2Vec + K-Nearest Neighbours
Currently in pt-br
Text classification 2
Demo: Tf-Idf + Logistic Regression with feature selection
Currently in pt-br
Money & Inflation
Demo: How does money supply (M1) relate to price level (IGP) in Brazil?
Interactive