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.

building an DWH with SQL,including ETL processes,modelling and analysis

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

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

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

My learnings on different algorithms of Machine Learning with Python .

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.

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.

Automating the process of Data Preprocessing for Data Science