boxplot-visualization

An interactive Shiny dashboard that transforms traditional boxplots into a playful data visualization experience by replacing outliers with customizable 🐕 dog icons, powered by the ggdogs package.

This project builds a deep learning classification model to predict whether an Indian Initial Public Offering (IPO) will list with positive gains or losses. Using historical IPO data from the Indian market, the model leverages subscription metrics and issue characteristics to forecast listing performance.

Analyse statistique des variables anthropométriques et de la condition physique (HRPF)

Personal R Programming Project

This repository contains project code that takes in a public transit sample data that was collected from the Toronto Transportation Commission and summarizes the data of two randomly selected routes along with two directions with four boxplots, containing the medium, outliers, as well as the 25th and 75th percentiles (Q1 and Q3).

Artist Chart Analysis

Exploratory Data Analysis on Parkinson's Disease patient dataset

Mobile Phone Price Prediction using Logistic Regression

Liver Cirrhosis Stage Detection System Using Random Forest and XGBoost with Stacking Classifier

A collection of Jupyter Notebook exercises covering key statistical concepts for Data Science, featuring interactive visualizations and real-world datasets.

This project compares the performance of three classification algorithms on music genre prediction.

This project focuses on extracting insights from raw data through various analyses, including exploring distributions, visualizing data with plots, and calculating measures of central tendency. The goal is to uncover meaningful patterns and trends within the dataset.

Conducted sentiment analysis and data visualization on YouTube comments using the TextBlob library, uncovering insights on audience engagement, emoji usage, and video performance metrics. Implemented linear regression models to explore correlations between views, likes, video titles, and audience engagement.

Comparing compensation for jobs in data science field by various factors

detecting fake news using linguistic features. ML techniques ranging from hard and soft-clustering to fuzzy inference systems and neural networks. included FMID5 - Fuzzy Model Identification toolbox in MATLAB

Ecommerce Customer Churn Analysis and Prediction