Analyzing logistics data to optimize shipment efficiency, reduce delays, and enhance supply chain visibility using Power BI. Insights include top routes, delays, supplier trends, and peak shipments.

Single-Cell RNA-seq Analysis of Bone Marrow Dataset Using Scanpy: This repository reproduces a complete scRNA-seq analysis pipeline using the Scanpy library on a modified bone marrow dataset (originally from CZI). The workflow includes preprocessing, normalization, clustering, marker-based annotation, and biological interpretation.

Data Mining Final Project

Functionality to preprocess and analyse multi-omics data

Scripts for preprocess dataset and adequate for MDC platform

Hi their, My self Dhruv. So this repository are fully work on the images preprocessing.

A lightweight content-based movie recommendation system built using TMDB metadata. It extracts key movie features, processes them into vectors, computes similarity scores, and serves the recommendations through an interactive Streamlit UI.

Ejercicios de clase y Trabajo Práctico de la materia Ciencia de Datos UNLaM (3670) - 1C / 2C 2025.

A comprehensive machine learning project using Linear and Logistic Regression to forecast salary value and classify six-figure earners

This project uses the S.Y. 2020-2021 DepEd Schools Masterlist that contains 64,000+ school information across the Philippines, including location, sectors, and classification details.

All the scripts to prepare the Courtois-Neuromod dataset

Praktikum Data Mining (Smart Farming Data Sensor)

Enterprise-grade training data curation bot for LLM fine-tuning using Decodo and Python automation. It provides an async, modular pipeline for document loading, preprocessing, task-specific data generation (Q&A, summarization, classification), quality evaluation, and dataset export — all through a unified API.

This work is about creating AI Solution to learn data preprocessing, preparation and Feature reduction using UCI Communities & Crime dataset.

Public Repository: Machine Learning & Data Mining project using the South African Heart Disease dataset. Applied PCA, Regularized Linear Regression, ANN, Logistic Regression, and Decision Trees with cross-validation for regression and classification. Includes feature scaling, EDA, and statistical tests.

A Python Library for the Generation of Artificial Missing Data

This Repository contains all the work done in Buildables Fellowship.

The project demonstrates how to build an end-to-end supervised learning workflow for credit approval prediction. It documents the data preparation steps, the training of several classification algorithms, the model selection criteria, and the interpretation of the final solution so that the process can be replicated.

rag workflow w/ pinecone-db -- enriches LLM context with a YT/BBC news dataset to provide more accurate insights as well as sources