Felipe Maldonado's Projects
Machine Learning modeling for Air Ticket Predicting
Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
website source for the computational media lab
A Python-embedded modeling language for convex optimization problems.
Source code and datasets for "Convex Hull, IP and European Electricity Pricing in a European Power Exchanges setting with efficient computation of Convex Hull Prices"
Dask tutorial material for video tutorial series
code for Data Science From Scratch book
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Curated list of Python resources for data science.
Deep Learning Specialization by Andrew Ng on Coursera.
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Kaggle Python docker image
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Experiments in using deep learning to model competition in liberalised electricity markets.
In this repository we include the code and data used in our experiments
Webpage
The Python micro framework for building web applications.
Distributed Asynchronous Hyperparameter Optimization in Python
Repository with material for the Limperg Python course by Ties de Kok.
Animation engine for explanatory math videos
Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching
matplotlib: plotting with Python
Supplemental materials for my OReilly project, the Python Data Science Handbook
Python Implementation of Reinforcement Learning: An Introduction
Forecasts next 24 hours of hourly energy demand with Keras, Prophet, and SARIMA (statsmodels)
Main repository for the Sphinx documentation builder