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This repository contains some of the selected data-science projects.
python code for extracting data from csv file , using Matlab plot and seaborn 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 Visualisation using Matplotlib and Seaborn in Python
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.
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
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.
Script to graph input latency data
The Data Analysis Tool is a Python program that provides basic data analysis features for a given dataset.
This Python based Exploratory Data Analysis (EDA) project, uncover patterns, trends, and valuable insights from sales data during the festive season of Diwali.
This repository consists of notebooks where I learned the basics of getting started with data analysis using Python libraries
Machine Learning Project for segmentation of mall customers
🎓 𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜𝙨: •Performed data cleaning and manipulation. •Performed exploratory data analysis (EDA) using Python libraries. •Improved customer experience by identifying potential customers across different states, occupations, genders, and age groups.
About Exploratory Data Analysis of a Historical Olympic Games Dataset, including all the games from Athens 1896 to Rio 2016.
Data Analytics with Python
Breast Cancer Prediction
Demonstrating how changes in input image resolution affect the algorithm's output
Using Python for data analyses of the online grocery shop Instacart to uncover sales patterns and reveal customer profiles.
Flight trends, cancellations, delays, and weather impacts through exploratory data analysis.
The project entails leveraging coinmarketcap.com API to collect real-time data on cryptocurrencies in India. Through data cleaning and visualization using pandas, numpy, and matplotlib, it aims to analyze market trends, identify top cryptocurrencies, and track their price fluctuations over time.
Neste projeto faço a análise da distribuição das faixas salariais para os profissionais de nível júnior para o cargo de analista, cientista e engenheiro de dados. Os dados são da State of Data Brazil que é uma das maiores pesquisas sobre o panorama do mercado de trabalho brasileiro na área de dados.
Data Analytics with Python
Embarking on a vital linguistic preservation initiative, our project surveyed the diminishing popularity of rural languages across 20 states of India. Leveraging the power of Computer Science, we meticulously analyzed and visualized the data using Heatmap with Seaborn (sns) in Jupyter Notebook.
Seaborn Basics Collection. Containing simple projects focused on learning Seaborn for data visualization.
Student Exercise | EDA | Lending Club Case Study
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.
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.
Analysis: Are We Really All Kinder On Christmas?
Healthcare cost projection for fiscal year (FY) 2026 and 2027 based on historical healthcare expenses.
Final Project for the IBM Data Science Professional Certificate
This is my repository where I try to create a Predictive Model in Python for NFL touchdowns.
Created Python pandas data analysis project while doing a General assembly Python programming course in Nov 2023. Proposed a hypothesis around patterns and correlations revealed during my analysis and also the insights for the Grocery sales market company.
Data Visulaization practice codes from my DV Lab course. There are different libraries that i've used in these practices including pandas,matplotlib,seaborn and plotly e.t.c to visualize data.