ECN 5090- Machine Learning in Economics and Finance (Python)
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Updated
Dec 7, 2022 - HTML
ECN 5090- Machine Learning in Economics and Finance (Python)
Lectures for Introduction to Data Science for Public Policy (PPOL 670-01)
A study and comparison of Risk Modeling algorithms (Capstone Project)
mlr3shiny: Machine Learning in Shiny with mlr3
AI Assisted Image and Video Training Data Labeling @ Scale
Finding Donors for Charity - 3rd project for Udacity's Machine Learning Nanodegree
Slides and code of my talk “Introduction to Supervised Learning with TensorFlow”.
Projects which were completed as part of assignments of Great Learning's PGP in Artificial Intelligence and Machine Learning
Tools for machine learning of animal behavior
d.ASH - Digital Autonomy Services Hub, a High Performance Robot Autonomy Stack for remote operational requirements
Investigated factors affecting likelihood of donations being made using real census data. Developed naive classifier to compare testing results. Trained & tested several supervised machine learning models on preprocessed census data to predict donation likelihood. Selected best model based on accuracy, modified F-score metric, & algo efficiency.
Repo for assignments for Georgia Tech's CS 7641 course
banter is a package for creating hierarchical acoustic event classifiers out of multiple call type detectors.
Machine Learning for Data Science lecture at Freie University Berlin during WiSe21/22
Mini blog for notes and guides on Machine Learning (Open Notes)
Statistical learning repository
Classifying Forest Cover type
Udacity Machine Learning Basic Nanodegree Program - Project 1
This repository contains a machine learning model for predicting the risk of heart attacks based on basic health parameters. The model is trained on a dataset of over 10,000 patients sourced from Kaggle and utilizes the XGBoost algorithm. Additionally, a Flask web application is provided for interactive use, allowing users to input their health.
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