There are 3 repositories under datapreprocessing topic.
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
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!
Wind Power Forecasting Based on Hybrid CEEMDAN-EWT Deep Learning Method
Data Science RoadMap
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
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.
My learnings on different algorithms of Machine Learning with Python .
Data Visualization, EDA , Model Building and Deployment etc..
Utilizes a Convolutional-based Transformer architecture for accurate and efficient PV power forecasting.
Automating the process of Data Preprocessing for Data Science
⚒️ 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
Image Classification model for detecting and classifying *DIABETIC RETINOPATHY* using retina images
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
Resume Screening using Machine Learning and Python
This repository focuses on two machine learning projects in the healthcare domain.
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.
Preparing Mammography Images for the ResNet Algorithm and Performing Data Preprocessing for the Teknofest 2022 Healthcare Artificial Intelligence Competition.
All my Machine Learning Projects from A to Z in (Python & R)
Material for Data Mining Lab Session (Fall Semester @ NTHU)
Web Based Exploratory Data Analysis platform. Can be used as a precursor to the Data Preperation/ Preprocessing stage to understand the data through visualizations
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.
LGBM and logistic regression for prediction of customers' second time transaction for an online market app.
Power BI exercises for courses on DataCamp's Data Analyst in Power BI Career Track
In this data science project, we will predict borrowers chance of defaulting on loans by building a default prediction model.
Building this project to generate MCQ Questions from any type of text and generate answers and distractors for it.
The project provides a real-world dataset focusing on supply chain analytics
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.
The Medical Chatbot is an AI-powered platform designed to assist users in obtaining accurate and reliable medical information. It aims to provide instant responses to user queries, offer symptom analysis, suggest potential diagnoses, and recommend appropriate next steps for seeking medical care.
Named Entity Extraction with OpenCV, Pytesseract, Spacy (OCR + NER), BIO Labelling
Python version of my machine learning framework that provides data preprocessing, feature selection, classification, regression and even more complex deep learning models, model persistence, autoencoders and anomaly detection