Python Iris-Data-Set-Classification Resources

Raster Vision is an open source Python framework for building computer vision models on satellite, aerial, and other large imagery sets (including obl

self-driving-car In this repository I will share the source code of all the projects of Udacity Self-Driving Car Engineer Nanodegree. Hope this might

Segment axon and myelin from microscopy data using deep learning. Written in Python. Using the TensorFlow framework. Based on a convolutional neural network architecture. Pixels are classified as either axon, myelin or background.

Equipped customers with insights about their EVs Hourly energy consumption and helped predict future charging behavior using LSTM model. Designed sample dashboard with insights and recommendation for customers.

Project IBEX A Celery application to collect data, download media and extract information from social media APIs. Requirements You must have a Redis D

Processing-data-with-python This is a simple example showing how to use Pandas to create a dataframe and the processing data with python. The jupyter

Nobel_Data_Analysis This project is for analyzing a set of data about people who have won the Nobel Prize in different fields and different countries

Investigating EV charging data Introduction: Got an opportunity to work with a home monitoring technology company over the last 6 months whose goal wa

Gravitational-Wave-Analysis This project showcases how to analyze the Gravitational wave data stored at LIGO/VIRGO observatories, using Python program

Diabetes Prediction Using Decision Tree Introduction Decision tree is the most powerful and popular tool for classification and prediction. A Decision

Disaster Classificiation using CNNs bunnysaini/Disaster-Classificiation Goal To prepare an image processing model to classify the type of disaster bas

Slido-Automated-VoteBot This python script allows you to manipulate the audience data from Sl.ido surveys Since Slido blocks interference from automat

Stanford CoreNLP Stanford CoreNLP provides a set of natural language analysis tools written in Java. It can take raw human language text input and giv

The Cormen-lib module is an insular data structures and algorithms library based on the Thomas H. Cormen's Introduction to Algorithms Third Edition. This library was made specifically for administering and grading assignments related to data structure and algorithms in computer science.

Collapse by Conditioning: Training Class-conditional GANs with Limited Data Moha

GoogleFormSpammer - A simple CLI script to spam Google Forms used by Crypto Wallet scammers to collect stolen data

Task Overview | Installation Instructions | Link to Module 2 Introduction Experience Technology at JP Morgan Chase Try out what real work is like in t

PostQF Copyright © 2022 Ralph Seichter PostQF is a user-friendly Postfix queue data filter which operates on data produced by postqueue -j. See the ma

Synthetic data need to preserve the statistical properties of real data in terms of their individual behavior and (inter-)dependences. Copula and functional Principle Component Analysis (fPCA) are statistical models that allow these properties to be simulated (Joe 2014). As such, copula generated data have shown potential to improve the generalization of machine learning (ML) emulators (Meyer et al. 2021) or anonymize real-data datasets (Patki et al. 2016).

A feature store is a data storage system for data science and machine-learning. It can store raw data and also transformed features, which can be fed straight into an ML model or training script.

Data visualisation Hey, You can learn Basic to advanced level Data visualisation techniques from this Repository. Data visualization is the graphic re

Create charts with Python in a very similar way to creating charts using Chart.js. The charts created are fully configurable, interactive and modular and are displayed directly in the output of the the cells of your jupyter notebook environment.

visualize_ML visualize_ML is a python package made to visualize some of the steps involved while dealing with a Machine Learning problem. It is build

Equibles Stocks API for Python Requirements. Python 2.7 and 3.4+ Installation & Usage pip install If the python package is hosted on Github, you can i

ccserver A server and client for passing data between computercraft computers/turtles across dimensions or even servers. pastebin get zUnE5N0v client

Feature engineering and machine learning: together at last! Lambdo is a workflow engine which significantly simplifies data analysis by unifying featu

INFO-H515 - Big Data Scalable Analytics Jacopo De Stefani, Giovanni Buroni, Théo Verhelst and Gianluca Bontempi - Machine Learning Group Exercise clas

VarDACAE This module is used to create Convolutional AutoEncoders for Variational Data Assimilation. A user can define, create and train an AE for Dat

**Tutorials, examples, collections, and everything else that falls into the categories: pattern classification, machine learning, and data mining.** S

Sentiment Analyzer The goal of this project is to perform sentiment analysis on textual data that people generally post on websites like social networ

Sentiment Classification using WSD, Maximum Entropy & Naive Bayes Classifiers

GreatCircle A set of three functions, useful in geographical calculations of different sorts. Available for PHP, Python, Javascript and Ruby. Live dem

Dive into Machine Learning Hi there! You might find this guide helpful if: You know Python or you're learning it 🐍 You're new to Machine Learning You

TensorDebugger (TDB) is a visual debugger for deep learning. It extends TensorFlow (Google's Deep Learning framework) with breakpoints + real-time visualization of the data flowing through the computational graph.

Python for Data Analysis, 2nd Edition Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media Buy

TResNet: High Performance GPU-Dedicated Architecture paperV2 | pretrained models Official PyTorch Implementation Tal Ridnik, Hussam Lawen, Asaf Noy, I

TDA INF421(Conception et analyse d'algorithmes) Projet : Topological Data Analysis SphereMin Etant donné un nuage des points, ce programme contient de

Data Scientist Learning Plan Demonstrate the breadth and depth of your data science skills by earning all of the Databricks Data Scientist credentials

sequitur sequitur is a library that lets you create and train an autoencoder for sequential data in just two lines of code. It implements three differ

WATTS (Workflow and Template Toolkit for Simulation) provides a set of Python classes that can manage simulation workflows for multiple codes where information is exchanged at a coarse level.

Google AI Open Images - Object Detection Track: Open Solution This is an open solution to the Google AI Open Images - Object Detection Track 😃 More c

TGS Salt Identification Challenge This is an open solution to the TGS Salt Identification Challenge. Note Unfortunately, we can no longer provide supp

Airbus Ship Detection Challenge This is an open solution to the Airbus Ship Detection Challenge. Our goals We are building entirely open solution to t

This is a project for analysis and estimation of House Prices in King County USA The .csv file contains the data of the house and the .ipynb file con

QuaTradis (Quadram TraDis) A set of tools to analyse the output from TraDIS analyses Contents Introduction Installation Required dependencies Bioconda

Python-Sreamlit-Duplicate-Records-Finder-Remover Streamlit is an open-source Python library that makes it easy to create and share beautiful, custom w

A research on image classification and auto insurance claim prediction, a systematic experiments on modeling techniques and approaches

You can perform Land Cover Classification on Satellite Images using Random Forest and visualize the result using Earthpy package. Make sure to install the required packages and such as

NBA MVP Predictor A machine learning model using RandomForest Regression that predicts NBA MVP's using player data. Explore the docs » View Demo · Rep

Simple Translator in Python Project Description: In this project, we'll be making a very simple translator in Python using some libraries. Requirement

Starter code: Kaggle Toxic Comment Classification Challenge More competitions 🎇 Check collection of public projects 🎁 , where you can find multiple

dbd: database prototyping tool dbd is a database prototyping tool that enables data analysts and engineers to quickly load and transform data in SQL d

COMS20011_2021 Data-driven Computer Science UoB Staff Laurence Aitchison [[email protected]] (unit director) Majid Mirmehdi [m.mirmehdi

RedliningExploration The Google Colaboratory file contained in this repository contains work inspired by a project on educational inequality in the Ph

An interactive App to play with Spotify data, both from the Spotify Web API and from CSV datasets.

This project has Classification and Clustering done Via kNN and K-Means respectfully. It later tests its efficiency via F1/accuracy/recall/precision for kNN and Davies-Bouldin Index for Clustering. The Data is also visually represented.

Osborne Mine, Australia - Airborne total-field magnetic anomaly This is a section of a survey acquired in 1990 by the Queensland Government, Australia

Credit Card Fraud Detection Introduction Online transactions have become a crucial part of any business over the years. Many of those transactions use

Fast Forward Computer Vision: train models at a fraction of the cost with accele

Deep-Learning-Project This Deep Learning Model Predicts that from which disease you are suffering. This Project Covers the Topics of Deep Learning Int

The aim of the mini project is predict whether or not a passenger survived based on attributes such as their age, sex, passenger class, where they embarked and more.

Binary Classification Problem with Machine Learning Solving Approach: 1) Ultimate Goal of the Assignment: This assignment is about solving a binary cl

ServiceX_Uproot_Transformer ServiceX Transformer that converts flat ROOT ntuples into columnwise data Usage You can invoke the transformer from the co

Overview Welcome to the Step-X repository. This repo is dedicated to the data extraction and manipulation of the World Bank's database called STEP. Be

Grover is a model for Neural Fake News -- both generation and detection. However, it probably can also be used for other generation tasks.

ECLARE ECLARE: Extreme Classification with Label Graph Correlations @InProceedings{Mittal21b, author = "Mittal, A. and Sachdeva, N. and Agrawal

GalaXC GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification @InProceedings{Saini21, author = {Saini, D. and Jain,

PyTorch Image Classification Following papers are implemented using PyTorch. ResNet (1512.03385) ResNet-preact (1603.05027) WRN (1605.07146) DenseNet

CO2Ampel This RaspberryPi project uses weather data to estimate the share of ren

This Notebook is based off an open source dataset available on where I have created models to classify patients who can potentially witness heart failure on the basis of various parameters. The best model had an accuracy of 94% and a recall of 91%

The scope of this project will be to build a data ware house on Google Cloud Platform that will help answer common business questions as well as powering dashboards.

RedlineSpam Python tool to spam Redline Infostealer panels with legit looking da

Transform application Lifecycle Data and Design and ETL pipeline architecture for ingesting data from multiple sources to redshift This project is composed of two parts: Part1 and Part2

This code implements the paper, Kim et al. (2021). Imputing Qualitative Attributes for Trip Chains Extracted from Smart Card Data Using a Conditional Generative Adversarial Network. Transportation Research Part C. Under Review.

wine-quality-predition---classification cl;asification problem using classification models in supervised learning Wine Quality Prediction Analysis - C

extract-paragraphs-with-aws-textract Since AWS Textract (the AWS OCR service) does not have a native function to extract paragraphs, this repository p

Code to reproduce the results for Statistically Robust Neural Network Classification, published in UAI 2021

xlwings_query Import, connect and transform data into Excel. Description The concept is to apply data transformations to a main query object. When the

Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data? (SDM 2022) We consider how a user of a web servi

A combination between python-flask, that fetch data and send from league client during champion select thanks to LCU and compare picked champs to the gamesDataBase that we need to collect using my other python script and then send the games result to localhost:5000/members that will be read by electron-reactJS script to present the results as a GUI on browser (localhost:5000)

RedisJSON is a Redis module that implements ECMA-404 The JSON Data Interchange Standard as a native data type. It allows storing, updating and fetching JSON values from Redis keys (documents).

Applying BERT Fine Tuning to Sentiment Classification on Amazon Reviews Abstract Sentiment analysis has made great progress in recent years, due to th

intro-to-causal-inference A introduction to causal inference using common tools from the python data stack Table of Contents Getting Started Install g

100 Days of Code Learning program to keep a habit of coding daily and learn things at your own pace with help from our remote community.

Gender-classification This is a ML model to classify Male and Females using some physical characterstics Data. Python Libraries like Pandas,Numpy and

Elkeid HUB - A rule/event processing engine maintained by the Elkeid Team that supports streaming/offline data processing

A set of Python codes for the generation of biomedical ontologies from the MeSH keywords of the PubMed scholarly publications

Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning This repository provides an implementation of the paper Beta S

Call of Duty World League: Search & Destroy Outcome Predictions Growing up as an avid Call of Duty player, I was always curious about what factors led

SWAP RATE Converts nominal survey data into a numerical values based on a dictionary lookup. It allows the user to switch nominal scale data from text

pandas-csv-excel-analysis This is a place where I'm playing around with pandas to analyze data in a csv/excel file. 0-start A very simple cheat sheet

Synapse Machine Learning SynapseML (previously MMLSpark) is an open source library to simplify the creation of scalable machine learning pipelines. Sy

What is PngBin? The name PngBin comes from an image format file extension PNG (Portable Network Graphics) and the word Binary. An image produced by Pn

this is a simple artificial neural network model using deep learning and torch-audio to classify cats and dog sounds.

PyGRANSO PyGRANSO: A PyTorch-enabled port of GRANSO with auto-differentiation Please check https://ncvx.org/PyGRANSO for detailed instructions (introd

Pytorch Implementation of Augmenting Convolutional networks with attention-based aggregation This is the unofficial PyTorch Implementation of "Augment

SimTSC This is the PyTorch implementation of SDM2022 paper Towards Similarity-Aware Time-Series Classification. We propose Similarity-Aware Time-Serie

Hello, This Notebook Contains Example of Corona Virus Tweets Multi Class Classification. - Classes is: Extremely Positive, Positive, Extremely Negativ

This project is for finding a solution to use Security Onion Elastic data with Jupyter Notebooks. The goal is to successfully use this notebook project below with Security Onion for beacon detection capabilities.

VIMuRe Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data. If you use this code please cite this article (preprint). De