Python House-Price-Prediction-Using-Linear-Regression Resources

scrapy-folder-tree This is a scrapy pipeline that provides an easy way to store files and images using various folder structures. Supported folder str

Pomodoro-Timer-With-Spotify-Connection A tool for study using pomodoro methodology, while study mode spotify or any other .exe app is opened and while

Realworld - Realworld using Django and HTMX

NOTION4EVER Notion4ever is a small python tool that allows you to free your cont

Handling-Mouse-Click-Events-Using-OpenCV This repository contains codes on how t

SH-PUBLIC is a python based cloning script. You can clone unlimited UID facebook accounts by using this tool. This tool works on any Android devices without root.

Breast-Cancer-Classification - Using SKLearn breast cancer dataset which contains 569 examples and 32 features classifying has been made with 6 different algorithms

Ducksploit Install Ducksploit Hacker setup raspberry pico Download https://githu

A Microsoft Azure Web App project named Covid 19 Predictor using Machine learning Model (Random Forest Classifier Model ) that helps the user to identify whether someone is showing positive Covid symptoms or not by simply inputting certain values like oxygen level , breath rate , age, Vaccination done or not etc. with the help of kaggle database.

Cite our paper if you find this project useful https://www.ijariit.com/manuscripts/v7i4/V7I4-1139.pdf Abstract Image processing technology is used in

Using Logistic Regression and classifiers of the dataset to produce an accurate recall, f-1 and precision score

Kamyroll-GUI A GUI frontend for the Kamyroll-API using Python and PySide6 Usage When starting the application you will be presented with a list and so

This repo contains a powerful tool made using python which is used to visualize, analyse and finally assess the quality of the product depending upon the given observations

MTU-HPC-Starter Repository for tutorials, examples and starter scripts for using the MTU HPC cluster Connecting to the MTU HPC cluster Within the coll

An app that allows you to add recipes from the dashboard. Then visitors filter based on different categories also each ingredient has a unique page with their related recipes.

Real time Object detection & Classification using YOLO algorithm. Real Time Object Detection and Classification using Yolo Algorithm. What is Object D

Star Coordinates Get the AltAz coordinates for a given object using astropy and output on a OLED screen. As a very very newcomer to the astronomy scen

Security Camera using Opencv & Dropbox This is a simple Security Camera created using Opencv in Python where images gets saved in realtime in your Dro

e-commerce-app Ecommerce app using Django, Rest API, Docker and ElasticSearch Sort pipfile pipfile-sort Runserver with Werkzeug (django-extensions) .

GoldNanoparticles This GitHub repo consists of Code and Some results of project- Diabetes Treatment using Gold nanoparticles. These Consist of ML Mode

TRINIT_Hum_kuchh_nahi_karenge_ML01 Document Link https://github.com/Jatin-Goyal-552/TRINIT_Hum_kuchh_nahi_karenge_ML01/blob/main/hum_kuchh_nahi_kareng

Garbage Detection using Yolov5 on Jetson Nano 2gb Developer Kit. Garbage detection system which will detect objects based on whether it is plastic was

epub2audiobook Creating an Audiobook (mp3 file) using a Ebook (epub) using BeautifulSoup and Google Text to Speech Input examples qual a pasta do seu

Movie Recommendation 🍿 System Watch Tutorial for this project Source IMDB Movie 5000 Dataset Inspired from this original repository. Features Simple

To-Be is a machine learning challenge on CodaLab Platform about Mortality Prediction. The challenge aims to adress the problems of medical imbalanced data classification.

This open source Python project allow you to create JSON data trees using Minmup.com. I try to develop this project all the time. But feel free to use :).

Home Assistant LDAP Auth Simple script to have LDAP authentication in Home Assistant Docker, using NGINX's ldap-auth container. Usage Deploy NGINX's l

Tetris_Python A Tetris game made using PyGame as renderer only, for a school project. Twist in the Game Blocks can pentrate through right and left bou

smescan A simple web application built using python flask. It can be used to scan SMEVai accounts for broken pages. Development Process Step 0: Clone

Crypto-Discord Discord Webhooks for alerting crypto currency price changes & historical data. Create virtual environment and install requirements. $ s

Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python 📊

Twitter Cameroon: @atangana_aron A Twitter bot developed in Python using the Tweepy library and hosted in AWS. https://twitter.com/atangana_aron Cost

Realtime read-write with AJAX Hey,this is the basic implementation type of ajax realtime read write from the database. where you can insert or view re

GNN_PPI Codes and models for the paper "Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction". Lear

This is the Quiz that I made using Python Programming Language. This can only run in the Terminal

Transformers are all you need In this workshop we will be exploring NLP state of the art transformers, with SOTA models like T5 and BERT, then build a

Using DVC with PyCaret & FastAPI (Demo) This repo contains all the resources for my demo explaining how to use DVC along with other interesting tools

A Gentle Introduction to Satellite Image Processing Welcome to this introductory course on Satellite Image Analysis! Satellite imagery has become a pr

Breast-Cancer-Prediction Trying to predict whether the cancer is benign or malignant using REGRESSION MODELS in Python. Team Members NAME ROLL-NUMBER

Heart_Disease_Diagnostic_Analysis Objective 🎯 The aim of this project is to use the given data and perform ETL and data analysis to infer key metrics

Moroccan Stocks Clustering Context Hey! we don't always have to forecast time series am I right ? We use k-means to cluster about 70 moroccan stock pr

Data-Analysis-Web-App Data Analysis Web App can analysis data in multiple formates(csv, txt, xls, xlsx, ods, odt) and gives shows you the analysis in

Deep Inertial Prediction For more information and context related to this repo, please refer to our website. Getting Started (non Docker) Note: you wi

Most Simple & Powefull Trade Bot (WINDOWS LINUX) What Are Some Pros And Cons Of Owning A Sniper Bot? While having a sniper bot is typically an advanta

Variational DiffWave Training DiffWave using variational method from Variational Diffusion Models. Quick Start python train_distributed.py discrete_10

NLP-Natural-Language-Processing NLP applications using deep learning like text generation etc. 1- Poetry Generation: Using a collection of Irish Poem

RVM_onnx_compose RobustVideoMatting and background composing in one model by using onnxruntime. Usage pip install -r requirements.txt python infer_cam

A "guess the number" game on a GUI interface using Tkinter library🙂

Medical-Insurance-Project-OOP Python Classes: Medical Insurance Project using Object Oriented Programming Concepts Classes are an incredibly useful pr

RPI-Pico-16-BTn-MIDI-Controller-using-CircuitPython A simple portable USB MIDI controller based on Raspberry-PI Pico, written in Circuit Python. Link

Standalone script written in Python 3 for generating Reverse Shell one liner snippets and handles the communication between target and client using custom Netcat binaries. It automates the boring stuff like URL encoding the command and setting up a listener.

I have collected data about a set of patients, all of whom suffered from the same illness. During their course of treatment, each patient responded to one of 5 medications, Drug A, Drug B, Drug c, Drug x and y. Part of our job is to build a model to find out which drug might be appropriate for a future patient with the same illness. The feature sets of this dataset are Age, Sex, Blood Pressure, and Cholesterol of patients, and the target is the drug that each patient responded to.

This is Eden Park's portpolio: Works, projects and practices This repository can be used to show the potential employers to check my works, code and p

Self-supervised learning Self-supervised learning algorithms provide a way to train Deep Neural Networks in an unsupervised way using contrastive loss

Extracting atomic fingerprints from molecules using pretrained Graph Neural Network models (GROVER).

Computational Fluid Dynamics in Python Using NumPy to solve the equations of fluid mechanics 🌊 🌊 🌊 together with Finite Differences, explicit time

This project uses the mosaik co-simulation framework, developed by the brilliant developers at the high-ranked Offis institue for computer science, Oldenburg, Germany, to simulate multidimensional LED matrices.

CAST: Character labeling in Animation using Self-supervision by Tracking (Published as a conference paper at EuroGraphics 2022) Note: The CAST paper c

Using Self-Supervised Pretext Tasks for Active Learning - Official Pytorch Implementation Experiment Setting: CIFAR10 (downloaded and saved in ./DATA

Readme File for "Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis" by Ham, Imai, and Janson. (2022) All scripts were written and

User-centered Regression An Approach to Explore Logistic Regression Models This tool applies the potential of Attribute-RadViz in identifying correlat

This repository contains the code for TABS, a 3D CNN-Transformer hybrid automated brain tissue segmentation algorithm using T1w structural MRI scans. TABS relies on a Res-Unet backbone, with a Vision Transformer embedded between the encoder and decoder layers.

Real-Time Seizure Detection using Electroencephalogram (EEG) This is the repository for "Real-Time Seizure Detection using EEG: A Comprehensive Compar

Explore the Expression: Facial Expression Generation using Auxiliary Classifier Generative Adversarial Network This is the official implementation of

SpiroMask: Measuring Lung Function Using Consumer-Grade Masks Anonymised repository for paper submitted for peer review at ACM HEALTH (October 2021).

OntoProtein This is the implement of the paper "OntoProtein: Protein Pretraining With Ontology Embedding". OntoProtein is an effective method that mak

ReLSO Improved Fitness Optimization Landscapes for Sequence Design Description Citation How to run Training models Original data source Description In

Using Attention in HRL Framework for training options with different attention mechanism and using them to solve downstream tasks. Requirements GPU re

Unsupervised Audio Source Separation Using Differentiable Parametric Source Models This is the source code for the experiments related to the paper Un

Author Name Disambiguation with Knowledge Graph Embeddings using Literals This is the repository for the master thesis project on Knowledge Graph Embe

AI for TSP Competition Goal In the AI for TSP competition we try to solve optimization problems using machine learning. The competition will be hosted

Identifying a Training-Set Attack’s Target Using Renormalized Influence Estimation By: Zayd Hammoudeh and Daniel Lowd Paper: Arxiv Preprint Coming soo

CSPML (crystal structure prediction with machine learning-based element substitution) CSPML is a unique methodology for the crystal structure predicti

Tackling data scarcity in Speech Translation using zero-shot multilingual Machine Translation techniques This repository is derived from the NMTGMinor

Semantic Code Search Semantic code search implementation using Tensorflow framework and the source code data from the CodeSearchNet project. The model

Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation Prerequisites This repo is built upon a local copy of transfo

asciiMOL A basic molecule viewer written in Python, using curses; Thus, meant for linux terminals. This is an alpha version, featuring: Opening defaul

The purpose of this project is create a classification model capable of accurately predicting the price of secondhand cars. The data used for model building is open source and has been added to this repository. Most packages used are usually pre-installed in most developed environments and tools like collab, jupyter, etc. This can be useful for people looking to enhance the way the code their predicitve models and efficient ways to deal with tabular data!

Style transfer between images was performed using the VGG19 model. The necessary codes, libraries and all other information of this project are available below

This model involves Insurance bill prediction, which was subsequently deployed on Heroku PaaS

The purpose of this project is create a predictive model capable of identifying the probability of a person securing an admit based on their personal profile parameters. Simplified visualisations have been created for understanding the data. 80% accuracy was achieved on the test set.

This project aim was to predict the price of houses in the Boston area during the great financial crisis through regression, as well as classify houses into different quality categories according to their features. For this we used a kaggle data set.

Bank_Management_system This is a Bank Management System Database Project. Abstract: The main aim of the Bank Management Mini project is to keep record

Predictive_Modelling Gems & Holiday Package Prediction This project is based on 2 cases studies : Gems Price Prediction and Holiday Package prediction

Machine_Learning Election Exit Poll Prediction and U.S.A Presidential Speech Analysis using Machine Learning This project is based on 2 case-studies:

This is a Kaggle competition in which we have to identify if the given lesion image is malignant or not for Melanoma which is a type of skin cancer.

Script_Convertir_PDF_IMG_TXT Este script de pyhton convierte un pdf en Imagen luego utilizando tesseract como motor OCR convierte la Imagen a Texto. p

Py(A)vanza Fetch fund data from avanza.se using Python and some web scraping with bs4. The default way is to display the data in the terminal, apply -

Get Started Insert C++ Codes Add Test Code Run Test Samples Check Coverages Insert C++ Codes you can easily add c++ files in /inputs directory there i

Simple-DMA a simple Dual Memory Architecture for classifications. based on the paper Dual-Memory Deep Learning Architectures for Lifelong Learning of

open(LARGE) Storing, versioning, and downloading files from S3 made as easy as using open() in Python. Caching included. Motivation Oftentimes, especi

Algorand Auction Demo This demo is an on-chain NFT auction using smart contracts on the Algorand blockchain. Usage The file auction/operations.py prov

Description This library provides an abstraction to perform Model Versioning using Weight & Biases. Features Version a new trained model Promote a mod

BoxOS V1.0.0 About A really minimalistic operating system made using python's GUI module Tkinter. What seperates it from the other operating systems m

IKEA Reverse Image Search This is a demo project to fetch ikea product images(IK

login-python Sistema de login feito 100% em Python, utilizando bibliotecas nativ

html-pretify Lektor plugin to pretify the HTML DOM using Beautiful Soup. How doe

Detic ros - A simple ROS wrapper for Detic instance segmentation using pre-trained dataset

Masked Autoencoders in PyTorch A simple, unofficial implementation of MAE (Masked Autoencoders are Scalable Vision Learners) using pytorch-lightning.

Hitters_Linear_Regression Kullanacağımız veri seti Carnegie Mellon Üniversitesi'