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

Roadmap for Data Engineering

⚡ 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.

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.

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

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

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

Data Science RoadMap

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

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

No description provided.

A helper package for Machine Learning and Deep Learning Algorithms

⚒️ 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 .

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

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.

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.

Automating the process of Data Preprocessing for Data Science

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.

HSC Result Predictor using Random Forest Regression to forecast student exam scores based on historical data and performance indicators.

This repository focuses on two machine learning projects in the healthcare domain.

This project is an Intrusion Detection System (IDS) using machine learning (ML) and deep learning (DL) to detect network intrusions. It leverages the CICIDS2018 dataset to classify traffic as normal or malicious. Key features include data preprocessing, model training, hyperparameter tuning, and Docker containerization for scalable deployment.

Extensions and extras for tidy processing.

Python编写的处理法务邮单自动批量生成的脚本小工具-提取判决书内容免去手输填充邮单-Legal agency postal receipt automatically generate app

Heart disease is a major global health concern that affects millions of people around the world. Early detection and accurate prediction of heart disease can help to prevent the progression of the disease and save lives. In this project, we aim to develop a predictive model for heart disease using various machine learning algorithms.

Named Entity Extraction with OpenCV, Pytesseract, Spacy (OCR + NER), BIO Labelling

Engineered an innovative project for epilepsy disorder classification by harnessing EEG signals, attaining an outstanding accuracy rate of 95% in identifying diverse seizure types. Implemented sophisticated signal processing techniques and advanced machine learning algorithms, enhancing the system's precision and efficiency in classification.

All my Machine Learning Projects from A to Z in (Python & R)

Resume Screening using Machine Learning and Python