This repository contains some of the selected data-science projects.

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

This program provides data loading, exploration, and analysis tools, including descriptive statistics, column categorization, target variable summaries, and correlation analysis. With error handling, it enables seamless exploration and insights extraction from datasets.

Pokemon Exploratory Data Analysis

서울시 열린데이터광장 지하철 23년 9월 승하차 데이터

Machine Learning Project for segmentation of mall customers

Script to graph input latency data

The Data Analysis Tool is a Python program that provides basic data analysis features for a given dataset.

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

Data Analytics Project

911 Calls Capstone Project - Analysing the frequency of emergency 911 calls. This project is developed on a Jupyter notebook using Python with Numpy, Pandas data analysis libraries along with Matplotlib and seaborn data visualization libraries.

This project focuses on analyzing Diwali sales data using Python's data manipulation and visualization libraries - pandas, matplotlib, and seaborn.

Analysis of Choco-Bars groceries dataset using python data analysis tool. In this project pandas and numpy libraries are used with matplotlib.pyplot and seaborn visualization library.

To identify the variables affecting house prices, e.g. area, number of rooms, bathrooms, etc.To create a linear model that quantitatively relates house prices with variables such as number of rooms, area, number of bathrooms, etc.To know the accuracy of the model, i.e. how well these variables can predict house prices.

This repository contains Data Engineering projects.

Data Analytics with Python

This Github repository focuses on conducting basic data analysis on 'Black Friday Sales' data. It provides valuable insights into various aspects like customer demographics, target audiences, popular products, purchasing patterns and potentially other interesting insights.

Data visualization in Python with matplotlib and seaborn packages.

Analysis: Are We Really All Kinder On Christmas?

To predict delivery time based on sorting time using simple linear regression model.