felipemaldonado Goto Github PK

airticketpredicting

Machine Learning modeling for Air Ticket Predicting

arima-lstm-hybrid-corrcoef-predict

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

cmlab

website source for the computational media lab

cvxpy

A Python-embedded modeling language for convex optimization problems.

dam_comp

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-video-tutorial-2020

Dask tutorial material for video tutorial series

data-science-from-scratch

code for Data Science From Scratch book

data-science-ipython-notebooks

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.

datascience

Curated list of Python resources for data science.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-rl-tf2

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

docker-python

Kaggle Python docker image

econml

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.

energy-market-deep-learning

Experiments in using deep learning to model competition in liberalised electricity markets.

ev-pricing

In this repository we include the code and data used in our experiments

exploresagawler

felipe-webpage-essex

felipemaldonado.github.io

Webpage

felipeweb-hugo

flask

The Python micro framework for building web applications.

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

limperg_python

Repository with material for the Limperg Python course by Ties de Kok.

ma338-reinforcement-learning-essex

manim

Animation engine for explanatory math videos

marketbasket

Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching

matplotlib

matplotlib: plotting with Python

pythondatasciencehandbook

Supplemental materials for my OReilly project, the Python Data Science Handbook

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

short-term-energy-demand-forecasting

Forecasts next 24 hours of hourly energy demand with Keras, Prophet, and SARIMA (statsmodels)

sphinx

Main repository for the Sphinx documentation builder