portfolio-data-science

frost

An R package which contains a compilation of empirical methods used by farmers and agronomic engineers to predict the minimum temperature to detect a frost event. These functions use variables such as environmental temperature, relative humidity, and dew point.

The version 0.0.4 of frost is available on CRAN repository https://CRAN.R-project.org/package=frost

• Repository https://github.com/anadiedrichs/frost
• Webpage https://anadiedrichs.github.io/frost/

Analizando aportes electorales

Material: notebook R + Rmarkdown + dplyr, commented in Spanish.

Dataset: https://aportantes.electoral.gob.ar/

Output: http://rpubs.com/adiedrichs/aportesElectorales2019

Source code: https://github.com/anadiedrichs/AportesElectorales2019

Dataset Mujeres programadoras

Source code: https://github.com/rladies/meetup-presentations_mendoza/tree/master/2019-03-26

Machine learning for honey origin identification

Repo https://github.com/anadiedrichs/mieles-canizo

Frost prediction, experiments with R for paper

Repo: https://github.com/anadiedrichs/diedrichs2017prediction-frost-experiments

Grape juice analysis

Repo: https://github.com/anadiedrichs/jugos-uva-canizo

Reinforcement learning introduction

• Teaching material for artificial inteligence class.
• Introduction to reinforcement learning with OpenAI Gym.
• Topics: MDP, policy, value iteration, policy iteration, Q-learning
• Repository link https://github.com/anadiedrichs/rl-ai

Time series: a data science introduction

Teaching materials for IoT class.

Repository link https://github.com/anadiedrichs/time-series-analysis

Time series topics:

• Tools: python, jupyter notebook, pandas, matplotlib
• Time series visualization
• Time series manipulation: dealing with missing values, filter
• FFT, integration, etc
• Projects for time series analysis.

Spotify clustering

Teaching materials for machine learning class. We used clustering over Spotify data. link repository https://github.com/anadiedrichs/AM2019SpotifyClustering

Time series with keras

Not up to date tutorials about time series with old versions of keras. Repository in https://github.com/anadiedrichs/keras-tutorial