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#

datapreprocessing

Here are 566 public repositories matching this topic...

Simple tool to split COCO annotations into train/test datasets.

  • UpdatedAug 15, 2023
  • Python
Data-Engineering-Roadmap

⚡ GUI for editing LLM vector embeddings. No more blind chunking. Upload content in any file extension, join and split chunks, edit metadata and embedding tokens + remove stop-words and punctuation with one click, add images, and download in .veml to share it with your team.

  • UpdatedNov 21, 2023
  • PHP

Wind Power Forecasting Based on Hybrid CEEMDAN-EWT Deep Learning Method

  • UpdatedSep 28, 2023
  • Python

Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualizations, and Machine Learning Models for Classification Purposes.

  • UpdatedMay 23, 2019
  • Jupyter Notebook

Utilizes a Convolutional-based Transformer architecture for accurate and efficient PV power forecasting.

  • UpdatedJan 22, 2024
  • Python
cereja

The project provides a real-world dataset focusing on supply chain analytics

  • UpdatedAug 26, 2023
  • Jupyter Notebook

Monotonic Optimal Binning algorithm is a statistical approach to transform continuous variables into optimal and monotonic categorical variables.

  • UpdatedNov 6, 2025
  • Python

Power BI exercises for courses on DataCamp's Data Analyst in Power BI Career Track

  • UpdatedJan 24, 2024
ctrl4ai

A helper package for Machine Learning and Deep Learning Algorithms

  • UpdatedFeb 14, 2023
  • Jupyter Notebook

⚒️ Data preprocessing is the process of transforming raw data into an understandable format. It is also an important step in data mining as we cannot work with raw data. The quality of the data should be checked before applying machine learning or data mining algorithms

  • UpdatedNov 15, 2021
  • Jupyter Notebook

My learnings on different algorithms of Machine Learning with Python .

  • UpdatedOct 25, 2021
  • Jupyter Notebook

Predicting whether a person who has applied for a loan in a bank would get his/her loan approved or not using Classification Algorithms in Machine Learning, by looking at some common and useful attributes.

  • UpdatedMar 31, 2019
  • Jupyter Notebook

This repository contains a basic fraud detection system utilising supervised learning techniques to identify potentially fraudulent credit card transactions. The project establishes a baseline model that addresses the challenges of credit card fraud in financial institutions.

  • UpdatedNov 13, 2024
  • Jupyter Notebook

In this project we try to predict home credit default risk for clients. We try to predict, if the client will have payment difficulties or not.

  • UpdatedApr 2, 2022
  • Python

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