Demonstrating how changes in input image resolution affect the algorithm's output
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Updated
Mar 14, 2024
Demonstrating how changes in input image resolution affect the algorithm's output
This repository contains some of the selected data-science projects.
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.
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.
Pokemon Exploratory Data Analysis
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
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.
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.
Data visualization - qualitative & quantitative data (Airbnb listings for NY)
Repository created for programming and development in the Python language.
This is my repository where I try to create a Predictive Model in Python for NFL touchdowns.
Learning related Python
Analyzed behavior event data from Southern High School, focusing on race and gender disparities.
A course project for estimating the parameters of a Weibull Distribution which models the survival rates of cancer using Maximum Likelihood Estimation
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