Using machine learning to predict undergrad college admissions.

Overview

College-Prediction

Project- Overview: Many have tried, many have failed. Few trailblazers are ambitious enought to chase acceptance into the top 15 universites of the United States. Known for their grueling admissions process and heartbreaking decisions, the top 15 are at the pinnacle of every student's dream. In this project, we will be attempting to predict college acceptance for undergraduate students into top 15 national universities. The universities covered in this project will be strictly colleges from the United States.

Top 15 universites

In order to determine the top 15 universities in the United States, we will use the 2020 rankings published by U.S News.

Princeton University----------------------------6. Stanford University-------------------------11. Johns Hopkins University----------------------- Harvard University------------------------------7. University of Chicago-----------------------12. California Institute of Technology------------- Columbia University-----------------------------8. University of Pennsylvania------------------13. Dartmouth College------------------------- Massachusetts Institute of Technology-----------9. Northwestern University---------------------14. Brown University Yale University---------------------------------10. Duke University----------------------------15. University of Notre Dame Project Outline Web Scraper-Programmed web scraper to gather data. Used python along with the beautifulsoup and requests modules Machine Learning- Created a jupyter notebook where I performed data cleaning, feature engineering, and machine learning to create a classifier model that predicts college acceptance. Utilized pandas, numpy, sklearn and xgboost. Deployment- Created a web application, with the classifier model, using flask. Created a graphical user interface using CSS and HTML. image

Owner
John H Klinges
https://www.linkedin.com/in/john-klinges-jd-mba-mpa-frm-caia-pmp. Machine and Deep Learning course work at University of Pennsylvania FinTech Boot Camp.
John H Klinges
DeepFaceEditing: Deep Face Generation and Editing with Disentangled Geometry and Appearance Control

DeepFaceEditing: Deep Face Generation and Editing with Disentangled Geometry and Appearance Control One version of our system is implemented using the

260 Nov 28, 2022
AI4Good project for detecting waste in the environment

Detect waste AI4Good project for detecting waste in environment. www.detectwaste.ml. Our latest results were published in Waste Management journal in

108 Dec 25, 2022
PyMove is a Python library to simplify queries and visualization of trajectories and other spatial-temporal data

Use PyMove and go much further Information Package Status License Python Version Platforms Build Status PyPi version PyPi Downloads Conda version Cond

Insight Data Science Lab 64 Nov 15, 2022
(under submission) Bayesian Integration of a Generative Prior for Image Restoration

BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration Authors: Majed El Helou, and Sabine Süsstrunk {Note: p

Majed El Helou 22 Dec 17, 2022
Pytoydl: A toy deep learning framework built upon numpy.

Documents: https://pytoydl.readthedocs.io/zh/latest/ Pytoydl A toy deep learning framework built upon numpy. You can star this repository to keep trac

28 Dec 10, 2022
AI-Fitness-Tracker - AI Fitness Tracker With Python

AI-Fitness-Tracker We have build a AI based Fitness Tracker using OpenCV and Pyt

Sharvari Mangale 5 Feb 09, 2022
A generalist algorithm for cell and nucleus segmentation.

Cellpose | A generalist algorithm for cell and nucleus segmentation. Cellpose was written by Carsen Stringer and Marius Pachitariu. To learn about Cel

MouseLand 733 Dec 29, 2022
Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging, ICCV2021 [PyTorch Code]

Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging, ICCV2021 [PyTorch Code]

Jian Zhang 20 Oct 24, 2022
Implements Stacked-RNN in numpy and torch with manual forward and backward functions

Recurrent Neural Networks Implements simple recurrent network and a stacked recurrent network in numpy and torch respectively. Both flavours implement

Vishal R 1 Nov 16, 2021
Graph Neural Networks with Keras and Tensorflow 2.

Welcome to Spektral Spektral is a Python library for graph deep learning, based on the Keras API and TensorFlow 2. The main goal of this project is to

Daniele Grattarola 2.2k Jan 08, 2023
Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021

ATISS: Autoregressive Transformers for Indoor Scene Synthesis This repository contains the code that accompanies our paper ATISS: Autoregressive Trans

138 Dec 22, 2022
A bunch of random PyTorch models using PyTorch's C++ frontend

PyTorch Deep Learning Models using the C++ frontend Gettting started Clone the repo 1. https://github.com/mrdvince/pytorchcpp 2. cd fashionmnist or

Vince 0 Jul 13, 2021
This repo includes our code for evaluating and improving transferability in domain generalization (NeurIPS 2021)

Transferability for domain generalization This repo is for evaluating and improving transferability in domain generalization (NeurIPS 2021), based on

gordon 9 Nov 29, 2022
A transformer-based method for Healthcare Image Captioning in Vietnamese

vieCap4H Challenge 2021: A transformer-based method for Healthcare Image Captioning in Vietnamese This repo GitHub contains our solution for vieCap4H

Doanh B C 4 May 05, 2022
A simple implementation of Kalman filter in single object tracking

kalman-filter-in-single-object-tracking A simple implementation of Kalman filter in single object tracking https://www.bilibili.com/video/BV1Qf4y1J7D4

130 Dec 26, 2022
Adaptive Attention Span for Reinforcement Learning

Adaptive Transformers in RL Official implementation of Adaptive Transformers in RL In this work we replicate several results from Stabilizing Transfor

100 Nov 15, 2022
A collection of pre-trained StyleGAN2 models trained on different datasets at different resolution.

Awesome Pretrained StyleGAN2 A collection of pre-trained StyleGAN2 models trained on different datasets at different resolution. Note the readme is a

Justin 1.1k Dec 24, 2022
Object detection and instance segmentation toolkit based on PaddlePaddle.

Object detection and instance segmentation toolkit based on PaddlePaddle.

9.3k Jan 02, 2023
Utility code for use with PyXLL

pyxll-utils There is no need to use this package as of PyXLL 5. All features from this package are now provided by PyXLL. If you were using this packa

PyXLL 10 Dec 18, 2021
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms

A Closer Look at Invalid Action Masking in Policy Gradient Algorithms This repo contains the source code to reproduce the results in the paper A Close

Costa Huang 73 Dec 24, 2022