Automobile Data Insights: A data analysis project exploring trends in vehicle prices, fuel efficiency, and other key attributes. Uses Python, Pandas, Matplotlib, and Seaborn for data visualization and insights.

A collection of Python libraries for data analysis and visualization, including NumPy, Pandas, Matplotlib, and Seaborn.

Machine learning project aimed at predicting new COVID-19 cases using historical COVID-19 and mobility data. The project involves data fetching, migration, preprocessing, exploratory data analysis (EDA), feature engineering, data splitting, model training, and evaluation.

This project offers a comprehensive analysis of the Indian startup ecosystem, focusing on key factors such as funding patterns, startup valuations, and regional distribution across India. Using tools like Python, pandas, and matplotli, the project uncovers crucial insights into sectoral dominance, investment trends, and geographical hotspots.

Script to graph input latency data

This repository contains some of the selected data-science projects. https://arunp77.github.io/portfolio-details.html

The project focuses on Identification of various Gemstone. The dataset consists of 87 classes.It shows the whole progress and model used to achieve final accuracy. You will gain knowledge of Computer Vision, The model used are CNN(Convolutional Neural Network), MobileNetV2 and VGGNet,The final model used was transfer learning with model MobileNetV2

This is a practice Repository consisting of all the notebooks I have practiced to learn python for data science from basics to Advance.

Analyzing the customer dataset and developing a machine learning solution to segment customers into meaningful groups based on their purchasing behavior, demographics, and interaction with past marketing campaigns.

Seaborn is a visualization library for Python that builds on matplotlib and pandas. It provides beautiful default styles and color palettes for different types of plots, such as histograms, distributions, regression, and matrix plots.

python code for extracting data from csv file , using Matlab plot and seaborn Libraries

Использование библиотек: Matplotlib, Seaborn и Plotly

Analiza tendencias musicales mediante técnicas de preprocesamiento, exploración y visualización de datos, utilizando herramientas de ciencia de datos.

This project analyzes customer churn in a telecom company using Python, Pandas, SQL, and data visualization. It identifies key factors like contract type, payment method, and tenure to provide insights for improving retention. The skills gained are applicable in customer retention, user behavior analysis, fraud detection, and HR analytics.

Pokemon Exploratory Data Analysis

Projects I've created using Python.

Healthcare Data Analysis Project using Python & Power BI. I've extracted impactful insights on Patents & Exclusivities granted by the US FDA to drug products.

Data visualization in Python with matplotlib and seaborn packages.

Realizar un estudio para la empresa farmacéutica BIOGENESYS para ayudar en su estrategia de expansión en Latinoamérica. Realicé un análisis exploratorio de datos sobre la incidencia de COVID-19 y otros factores relevantes, identificando tendencias y oportunidades mediante estadísticas, mediciones y visualizaciones.

Projet d'analyse exploratoire de données (EDA) sur la prévision du prix des vols.