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anomaly-detection

A gathering of anomaly detection techniques in Machine Learning

asyncio

bayesstat-probprog-python

Here, I'll gather techniques, in Python, that we can use to do Bayesian Analysis, and Probabilistic Programming.

centralbanking-nlp

In this repository, I will apply NLP techniques to central banks speeches.

clustering-problem

Locations clustering proof-of-concept test task

credit_risk_models

forecasting

Time Series Forecasting Best Practices & Examples

forecasting-using-python

Used ARIMA class models to forecast the future.

iavtavares

javascript_definitive_guide

learning_spark

optuna-examples

Examples for https://github.com/optuna/optuna

podcast_proj

practicing-unit-testing-and-ci

This is a experimental repo, where I'll try out what I've learned in a DataCamp course for unit-testing and Continuous integration.

python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

react_doc_based_examples

A repo where I'll try to run the React Documentation Examples.

recommenders

Best Practices on Recommendation Systems

road_to_react

sktime

A unified framework for machine learning with time series

time-series-python

Time Series in Python - A repository for notebooks/notes related to Time Series Analysis done in Python

uq_state-space

Quantification of model discrepancy, aka epistemic uncertainty in the ML community, in state-space models using Gaussian processes.