dataprocessing
There are 5 repositories under dataprocessing topic.
srafay / Machine_Learning_A-Z
Learning to create Machine Learning Algorithms
datasciencedataprocessingmachine-learning-algorithmsmachine-learning-azsimple-linear-regressionmultiple-regressionpolynomial-regressionsupport-vector-regressiondecision-tree-regressionrandom-forest-regressorclassification-algorithimslogistic-regressionk-nearest-neighborssupport-vector-machinekernel-svmnaive-bayes-classifierdecision-tree-classifierrandom-forest-classifierk-means-clusteringk-means-implementation-in-pythonLanguage:Python 385prakhar21 / 50-Days-of-ML
A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
Language:Jupyter Notebook 256Jean-njoroge / Breast-cancer-risk-prediction
Classification of Breast Cancer diagnosis Using Support Vector Machines
Language:Jupyter Notebook 243- Language:F# 111
- Language:TypeScript 62
- delta-go
csimplestring / delta-go
Native Delta Lake Implementation in Go
Language:Go 40 Rajat-dey / Weather-Prediction
Weather Forecasting report over the Jaipur Dataset for Rain Prediction
Language:Jupyter Notebook 26- Language:TypeScript 25
nf-core / deepmodeloptim
Stochastic Testing and Input Manipulation for Unbiased Learning Systems
Language:Nextflow 25akshitvjain / restaurant-finder-featureReviews
Build a Flask web application to help users retrieve key restaurant information and feature-based reviews (generated by applying market-basket model – Apriori algorithm and NLP on user reviews).
Language:Python 22dayeonhwang / instagramPredictor
Machine Learning project to predict popularity of Instagram posts
Language:Python 20nkaz001 / data-tardis
Process tardis.dev cryptocurrency data, reconstructing the market depth and computing imbalance.
Language:Jupyter Notebook 20kanishkan91 / Python-DataUpdate-DataProcessor-kbn
The python module can be used to scrape data and process data from different sources. The python module can output data as either as a dataframe in the country year format or it will output data in excel files This module has primarily been created for processing data for the International Futures (IFs) Project however, it can be used to process data in general. The module can be used to process data from the following sources, 1) World Bank World Development Indicators (WDI) 2) UNESCO Education indicators(UIS) 3) FAO Food Balance Sheets (FAO) 4) IMF Global Finance Statistics (IMF GFS) 5) Health data from the Institute for Health and Metric Evaluation (IHME) 6) Water data from FAO AQUASTAT 7) Energy data from EIA Currently this module can be run as is on Windows. For usage on Macs, the user may have to make changes to the code lines which specify paths.
Language:Python 15imehrdadmahdavi / map-reduce-inverted-index
Creating an Inverted Index of words occurring in a large set of documents extracted from web pages using Hadoop MapReduce and Google Dataproc
Language:Java 14ElaheT / Battery_Cycle_Life_Prediction
This notebook presents a pipeline to process raw data files of battery cycling and the prediction of their useful life before the degradation starts.
Language:Jupyter Notebook 11plainerman / TicTacTube
A versatile pipelining library created with media organization in mind.
Language:C# 7sand47 / AI-Projects
List of all my AI Projects
Language:Jupyter Notebook 6tkrojer / XChemExplorer
A graphical batch data processing tool for protein crystallography
Language:Python 6- Language:Python 5
zach-brown-18 / is-it-abandoned
Can we tell if a house is abandoned based on aerial imagery?
Language:Jupyter Notebook 5fern-flower-lab / sqlg-clj
The SQL Graph with Tinkerpop3 and Clojure
Language:Clojure 4morikaglobal / jobsite_selenium
Scraping searched jobs on Jobsite with Python and selenium on google colab
Language:Jupyter Notebook 4AnyegaAlex / Sentiment-Driven-Stock-Price-Prediction-Using-News-Headlines
An end-to-end application that predicts stock price movements using sentiment analysis of financial news headlines. Powered by machine learning, NLP, and real-time data integration, this project offers investors a reliable tool for data-driven decision-making.
Language:JavaScript 3- Language:Python 3
divithraju / divith-raju-Immigration-Data-Engineering
A Capstone Project that covers several aspects of Data Engineering (Data Exploration, Cleaning, Modeling, Pipelining, Processing)
Language:Jupyter Notebook 3Garvit244 / Empatica_E4_Preprocessing
For preprocessing empatica e4 data for analysis
Language:Python 3gojibjib / voice-grabber
Collection of scripts to gather training (meta) data for the ML model
Language:Python 3- data_science
huseyincenik / data_science
Data Science materials
Language:Jupyter Notebook 3 News Scraper App using Python and Beautiful Soup
Language:Python 3- encoding-techniques
pritomsh / encoding-techniques
Encoding: converting categorical data into a numerical data
Language:Jupyter Notebook 3 - Language:Python 3
STEMManagement / STEM-Surge-7.0
Initial Release 7.0
Language:C# 3Zeeshanahmad4 / WebScrapeSummarizer
WebScrapeSummarizer 🌐✍️: A web tool that fetches and summarizes content from any domain, offering insights in a compact CSV format.
Language:JavaScript 3hq969 / Credit-card-fraud-Detection
The Credit Card Fraud Detection project is a machine learning-based system designed to identify fraudulent transactions in real-time. Using historical transaction data, the model classifies transactions as either fraudulent or legitimate, helping financial institutions reduce financial losses and improve security.
Language:Jupyter Notebook 2lokyshin / DeepSearch
Search the web with SearxNG and summarize using DeepSeek-R1.
Language:Python 2
