The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.
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The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.
This repository contains data visualization programs on various datasets done using python.
Fuel Efficiency of car in miles per gallon
This data set consists of three types of entities: (a) the specification of an auto in terms of various characteristics, (b) its assigned insurance risk rating, (c) its normalized losses in use as compared to other cars.
This data set consists of three types of entities: (a) the specification of an auto in terms of various characteristics, (b) its assigned insurance risk rating, (c) its normalized losses in use as compared to other cars.
Datasets for Machine Learning, Data Analysis, Data Engineering, Data Science, etc.
This repository contains the projects that I made in the Python programming language.
Implementing Regression on the given Automobile Data
Stock market insights for the top five automobile companies, analyzing P/E ratios, EPS, revenue growth, and profitability using Tableau.
As part of "Building Regression Models with scikit-learn" Pluralsight course
AutoJournal is a comprehensive vehicle maintenance and tracking application. It allows users to log and track various aspects of their vehicle's maintenance, upgrades, and repairs. With features like detailed journal entries, cost tracking, and visual data representation through charts.
Cleaning, preparation and analysis of the data from https://archive.ics.uci.edu/ml/datasets/Automobile
Car price prediction using Linear Regression with real-world Pakistani car data.
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