General pipeline used for analyzing EEG data where Raw EEG data gets transformed into ERPS and Stats are done in R (Mixed effects models)

A simple tool for cleaning image datasets at a glance.

Data Analysis

Performed the data exploration and cleaning using SQL for a dataset about an e-commerce store to provide answers for smart business questions.

This repository contains the full machine learning workflow to predict Global Horizontal Irradiance (GHI) using Saudi Arabia’s weather data (2015–2020).

Project of cleaning of data 'Flats in Moscow and Moscow region'

Binary classification of residential utility problems in NYC; Capstone project for the IBM Certificate in Data Science

This project involves cleaning and preparing data for entip project

In this project, I cleaned up a large FIFA 2021 dataset with 18,000+ player records. The data was messy, with inconsistencies in 77 columns. I focused on making the data consistent and usable for analysis. This repository documents my step-by-step process, demonstrating how I transformed the data into a clean format.

Hii i created Explore-Data-Analysis using python , Jupyter Notebook

Use of Beautiful soup to scrap data from couple of websites and perform exploratory analysis

Unsupervised Machine Learning- CyrptoCurrency Analysis, using several models on a cryptocurrency data in order to discover patterns and groups in data. Analysis done to create a report that includes what cryptocurrencies are on the trading market and how they could be grouped in order to create a classification system for potential new investmen…

Flight Data Scraping: Analysis and Visualizations in Tableau

The goal of this project is to analyze data related to a marketing campaign and subsequently develop a machine learning model that can predict customers' response to the campaign. The overall benefit of this application is the efficient utilization of marketing budget.

host & listing characteristics to detect illegitimate listing rental

Iplémentation de techniques d'extractions,de traitements et d'analyse de données

NutriTrack is a personalised food recommendation system designed to promote healthier eating habits for both general users and individuals with dietary restrictions such as diabetes and hypertension. It combines structured nutritional data, user profiles, and rule-based filtering logic to suggest suitable meals across different meal times(4).