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

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

Pokemon Exploratory Data Analysis

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.

Machine Learning Project for segmentation of mall customers

PyVizNotebook is a collection of Matplotlib visualizations demonstrating a wide range of plot types and techniques for data visualization. Whether you're a beginner looking to learn or an experienced developer seeking inspiration, this repository offers a diverse set of examples to explore.

서울시 열린데이터광장 지하철 23년 9월 승하차 데이터

Script to graph input latency data

This repository consists of notebooks where I learned the basics of getting started with data analysis using Python libraries

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

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

Breast Cancer Detection - This project tackles the crucial challenge of early breast cancer detection using machine learning techniques. Using Machine learnig algorithms, Support Vector Machine, Randon Forest.

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.

Data Analytics with Python

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

Data analysis of Instacart's grocery basket and customer profiling with evaluation of their shopping habits. (Career Foundry - Data Analytics project)

Learned techniques and tools for Knowledge Discovery and Data Mining: R, RStudio, Classification Models