💻 Machine Learning Engineer / Data Scientist
🎓 PhD in Applied Mathematics and Economics (Statistics).
- I'm interested in the following topics:
- Causal Inference
- NLP
- Econometrics
- Time Series
- Panel Data
- Spatial Statistics
- Deep Learning
- MLOps
Type: User
💻 Machine Learning Engineer / Data Scientist
🎓 PhD in Applied Mathematics and Economics (Statistics).
A gathering of anomaly detection techniques in Machine Learning
Here, I'll gather techniques, in Python, that we can use to do Bayesian Analysis, and Probabilistic Programming.
In this repository, I will apply NLP techniques to central banks speeches.
Locations clustering proof-of-concept test task
Time Series Forecasting Best Practices & Examples
Used ARIMA class models to forecast the future.
Examples for https://github.com/optuna/optuna
This is a experimental repo, where I'll try out what I've learned in a DataCamp course for unit-testing and Continuous integration.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.
A repo where I'll try to run the React Documentation Examples.
Best Practices on Recommendation Systems
A unified framework for machine learning with time series
Time Series in Python - A repository for notebooks/notes related to Time Series Analysis done in Python
Quantification of model discrepancy, aka epistemic uncertainty in the ML community, in state-space models using Gaussian processes.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.