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

⚡ 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.

Roadmap for Data Engineering

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

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.

Cereja is a bundle of useful functions we don't want to rewrite and .. just pure fun!

Data Science RoadMap

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

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

A helper package for Machine Learning and Deep Learning Algorithms

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

⚒️ 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

My learnings on different algorithms of Machine Learning with Python .

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.

Data Visualization, EDA , Model Building and Deployment etc..

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

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.

Automating the process of Data Preprocessing for Data Science

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.