ECN 5090- Machine Learning in Economics and Finance (Python)
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Updated
Nov 23, 2021 - HTML
ECN 5090- Machine Learning in Economics and Finance (Python)
In this project i used many supervised learning algorithms available in scikit-learn, and also provided a method of evaluating, just how each model works and performs on a certain type of data.
Udacity Nanodegree - Machine Learning - Supervised Learning, Unsupervised Learning, and Reinforcement Learning
Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.
Hourly electricity price and demand forecasting
Finding Donor for CharityML - Machine Learning Nanodegree from Udacity
Applied supervised learning techniques on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause.
MLFND boston housing prices prediction project.
This repository describes the training in Supervised and/or Unsupervised Machine Learning algorithms. Here appears codes belong to several authors. The algorithms presented include
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