Python Covid19-data-prediction Resources

Politics and Virality in the Time of Twitter Data and code accompanying the paper Politics and Virality in the Time of Twitter. In specific: the code

Image data augmentation is a technique that can be used to artificially expand the size of a training dataset by creating modified versions of images in the dataset.

Data-Augmentation-Using-Keras-and-Python Data augmentation is the process of increasing the number of training dataset. Keras library offers a simple

Definitive Guide to Creating a SQL Database on Cloud with AWS and Python An easy-to-follow comprehensive guide on integrating Amazon RDS, MySQL Workbe

Structured Data Gradient Pruning (SDGP) Weight pruning is a technique to make Deep Neural Network (DNN) inference more computationally efficient by re

LinkScope Client Description This is the repository for the LinkScope Client Online Investigation software. LinkScope allows you to perform online inv

A collection of algorithms and datastructures introduced during UoE's Introduction to Datastructures and Algorithms class.

chess-exporter Prometheus exporter for chess.com player data implemented via chess.com's published data API and Prometheus Python Client Example use c

Kartothek - a Python library to manage (create, read, update, delete) large amounts of tabular data in a blob store

Hybrid Machine learning Model Clone the Repository Create a new Directory as assests and download the model from the below link Model Link To Start th

sql2diagram Generate database table diagram from SQL data definition. e.g. "CREATE TABLE ..." See Example below How does it works? Analyze the SQL to

PATC: Introduction to Big Data Analytics. Practical Data Analytics for Solving Real World Problems

This python library predicts the punctuation of English, Italian, French and German texts. We developed it to restore the punctuation of transcribed spoken language.

MidTerm Project for the Data Analysis FT Bootcamp, Adam Tycner and Florent ZAHOUI Hallo

This repo contains the source code for crawler and crawled data of cars specifications from autodata. The data has roughly 45k cars

Python command line tool and python engine to label table fields and fields in data files. It could help to find meaningful data in your tables and data files or to find Personal identifable information (PII).

COVID19-WEB-SCRAPER Open Source Tech Lab - Project [SEMESTER IV] OSTL Assignments OSTL Assignments - 1 OSTL Assignments - 2 Project COVID19 India Data

strava_py Create artistic visualisations with your exercise data (Python version). This is a port of the R strava package to Python. Examples Facets A

Intro-to-Data-Science Conducted ANOVA and Logistic regression analysis. Project ANOVA The main aim of this project is to perform One-Way ANOVA analysi

This machine learning model was developed for House Prices - Advanced Regression Techniques competition in Kaggle by using several machine learning models such as Random Forest, XGBoost and LightGBM.

🔥 Olympics Data Analysis 🔥 In Data Science field, there is a big topic before creating a model for future prediction is Data Analysis. We can find o

Built various Machine Learning algorithms (Logistic Regression, Random Forest, KNN, Gradient Boosting and XGBoost. etc). Structured a custom ensemble model and a neural network. Found a outperformed model for heart failure prediction accuracy of 88 percent.

Data-Visualization-Projects Collection of data visualizing projects through Tableau, Data Wrapper, and Power BI Indigenous-Brands-Social-Movements Pyt

Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification Introduction. This package includes the pyth

⚡️ Pokéhandy – Pokémon Hand Simulator [WIP 🚧 ] This application aims to simulat

InverterApi - This project has been designed to take monitoring data from Voltronic, Axpert, Mppsolar PIP, Voltacon, Effekta

Weather Image Recognition - Python weather application using series of data

Analysis of a dataset of 10000 passwords to find common trends and mistakes people generally make while setting up a password.

Example script to visualize topographic data, earthquake data, and tomographic data on a map

Anomaly-detection-Feature-Selection Evaluate on three different ML model for feature selection using Breast cancer data. ML models: SVM, KNN and MLP.

VOODOO Revealing supercooled liquid beyond lidar attenuation Explore the docs » Report Bug · Request Feature Table of Contents About The Project Built

This project is intended to implement a solution designed to extract, transform and load Chicago crime data from an RDS instance to other services in AWS.

ADB IP ROTATE This an Python script based on Android Debug Bridge (adb) shell sc

MetaFrame A data structure that extends pyspark.sql.DataFrame with metadata info

sfgp is a package that aggregates individual scripts and notebooks, primarily written for the basic analysis tasks of genetics and pharmacogenomics data.

mapa 🌍 Create 3d-printable STLs from satellite elevation data Installation pip install mapa Usage mapa uses numpy and numba under the hood to crunch

SoccerData is a collection of wrappers over soccer data from Club Elo, ESPN, FBr

Data from "Datamodels: Predicting Predictions with Training Data" Here we provid

Welcome! This readme will guide you through the use of the code in this reposito

catalogue_data Scripts to prepare catalogue data. Setup Clone this repo. Install

Project1_Next-Quarter-Game-Design-Prediction What games should I design next quarter? 상황 : 게임회사 데이터팀 합류 문제 : '다음 분기에 어떤 게임을 설계해야할까' Data Description N

CovidcasePrediction A machine learning model for Covid case prediction Problem Statement Using regression algorithms we can able to track the active c

GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates Vibhor Agarwal, Sagar Joglekar, Anthony P. Young an

university-courses Python/Selenium script to scrape data about university courses. Script first extracts URLs of each courses homepage, then trawls ea

Introduction This git repo contains the implementation of my ML project on Heart Disease Prediction. This is a real-world machine learning model/proje

gpv2-web10k This repository contains the script to download images from the Web-10K dataset. The script takes in a list of queries, queries Bing Image

bct_file_generator_for_EasyGSH The aim is to extract timeseries water level 2D information for any designed boundaries within the EasyGSH model domain

Soorgeon Join our community | Newsletter | Contact us | Blog | Website | YouTube Convert monolithic Jupyter notebooks into Ploomber pipelines. soorgeo

Common Voice Utils This repository collects together basic linguistic processing data for using dataset dumps from the Common Voice project. It aims t

Hatchet Hatchet is a Python-based library that allows Pandas dataframes to be indexed by structured tree and graph data. It is intended for analyzing

Upload comma-delimited files to biglocalnews.org in your GitHub Action Inputs api-key: Your biglocalnews.org API token. project-id: The identifier of

Used for data processing in machine learning, and help us to construct ML model more easily from scratch. Can be used in linear model, logistic regression model, and decision tree.

Login-Register_Tk A Login/Registration GUI Application with SQLite database for manipulating data. What is this program? This program is a GUI applica

This repository contains code that gets data regarding financial disclosures from the Court Listener API main.py: contains driver code that interacts

AALU_Geo Mining This repository is produced for a masterclass at the Architectural Association Landscape Urbanism programme. Requirements Rhinoceros (

MoRecon - A tool for reconstructing missing frames in motion capture data.

Genomics Workshop FIXME: overview of workshop Code of Conduct All participants s

You Only Cut Once (YOCO) YOCO is a simple method/strategy of performing augmenta

Reverse engineering the dengue virus (under development 🚧 ) What is dengue? Dengue is a viral infection transmitted to humans through the bite of inf

Acceder al código desde Google Colab para poder ver de manera adecuada todas las visualizaciones y poder interactuar con ellas. Link de acceso: https:

Acceder al código desde Google Colab para poder ver de manera adecuada todas las visualizaciones y poder interactuar con ellas. Links de acceso: Noteb

Introduction Features Before Start Export data from Day One Check Integrity Special Cases for Photo Extension Name Audio Extension Name Usage Known Is

Twitter-Scraping-App A simple app to scrap data from Twitter. Available Features Search query. Select number of data you want to fetch from twitter. C

This is the core of the program which takes 5k SYMBOLS and looks back N years to pull in the daily OHLC data of those symbols and saves them to disc.

gcc-bufdata-integrating2text Integrating C Buffer Data Into the instruction of .text segment instead of on .data, .rodata to avoid copy. Usage In your

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

Mega to Google Drive (UI Added! 😊 ) A Simple and User-Friendly Google Collab Notebook with UI to transfer your data from Mega to Google Drive. ⚙️ How

Our product DrLeaf which not only makes the work easier but also reduces the effort and expenditure of the farmer to identify the disease and its treatment methods. We have to upload the image of an affected plant’s leaf through our website and our plant disease prediction model predicts and returns the disease name. And along with the disease name, we also provide the best suitable methods to cure the disease.

Numerical-Python Numpy NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along

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

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.

Welcome to my Data Analysis projects page! This GitHub Repository contains Data Analysis projects that I have completed so far! While most of th proje

Senator Trades Monitor This monitor will grab the most recent trades by senators and send them as a webhook to discord. Installation To use the monito

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 :).

PySpark-Structured-Streaming-ROS-Kafka-ApacheSpark-Cassandra The purpose of this project is to demonstrate a structured streaming pipeline with Apache

Eureka is a Rest-API framework scraper based on FastAPI for cleaning and organizing data, designed for the Eureka by Turing project of the National University of Colombia

SSIDprobeCollector An ML & Correlation platform for transforming disparate data points of interest into usable intelligence. At a High level the platf

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 📊

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

After Golismero project got dead there is no more any up to date open-source tool that can collect links with parametrs and web-forms and then test th

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

Mito Monorepo Mito is a spreadsheet that lives inside your JupyterLab notebooks. It allows you to edit Pandas dataframes like an Excel file, and gener

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

Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set This is the repository for the Deep Learning proje

CMSC320 - Introduction to Data Science - Fall 2021 Instructors: Elias Jonatan Gonzalez and José Manuel Calderón Trilla Lectures: MW 3:30-4:45 & 5:00-6

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

LSHTM_RCS This repository contains project created during the Data Challenge module at London School of Hygiene & Tropical Medicine (LSHTM) in collabo

Data Engineering ZoomCamp I'm partaking in a Data Engineering Bootcamp / Zoomcamp and will be tracking my progress here. I can't promise these notes w

mcmeta Processed, version controlled history of Minecraft's generated data and assets Repository structure Each of the following branches has a commit

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

TIANCHI Purchase Redemption Forecast Challenge

WikiPron WikiPron is a command-line tool and Python API for mining multilingual pronunciation data from Wiktionary, as well as a database of pronuncia

About the app In one particilar project, i had to import some key/value data to Prometheus. So i have decided to create my custom-built Node Exporter

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.

Machine Learning e Data Science com Python Arquivos do curso de Data Science e Machine Learning com Python na Udemy, cliqe aqui para acessá-lo. O prin