Found 134 repositories(showing 30)
HadiaMubashar
Global Car Sales Analysis from 2005 to 2022 Dashboard Using Python
bhuyanpk
Exploratory data analysis using NumpY & Pandas and Data visualization rich libraries of Python on Car Sales data set
Godsbeloved2420
No description available
Maruf-Ahmad-khan
No description available
Niks23c
BMW Car sales data analysis using python
cadovid
Data analysis of Ebay Car Sales using Python.
Karen2007
Analysis of BMW car sales using SQL and Python
shubham872005
Exploratory Data Analysis of used car sales data using Python and machine learning techniques.
Soham2081
Exploratory Data Analysis (EDA) on car sales data using Python to uncover sales trends, pricing behavior, and business insights through data cleaning and visualization.
SheemaMasood381
Oasis Infobyte October 2024 Internship projects: IRIS Flower Classification, Car Price Estimator, and Sales Prediction Analysis using Python, machine learning, and Flask web apps.
Ogundipejeremiah
Car Sales project involving the analysis of Sales data using SQL and Python to uncover insights and monitor workforce metrics, with the use of a data pipeline and Tableau dashboards.
pradipshelke06
Project Task :- 1) Iris Flower Classification 2) Unemployment Analysis With Python 3) Car Price Prediction With ML 4) Email Spam Detection With ML 5) Sales Prediction Using Python
Tharindu-Pathum
This project presents a comprehensive analysis of car sales in the United States using Python. It explores sales trends, top-performing brands and models, seller activity, and geographic distribution of sales through data visualizations and statistical summaries.
Build a Car Sales Prediction Model using Machine Learning in Python. This project covers data cleaning, exploratory analysis, feature engineering, model training, and evaluation to forecast car sales. The model helps dealerships make data-driven decisions on inventory, pricing, and marketing.
nishidameshram
Short analysis on USA Cars dataset. Dataset has about 28 brands of clean and used vehicles for sales in US. Using python libraries I answered some questions which were mostly asked by buyers. (Dataset- Kaggle)
DavidiTal
As part of a Machine Learning course, we were tasked with predicting used car prices using data we extracted from a used car sales website. I performed the prediction using Multiple Linear Regression, leveraging Python for the analysis. Attached are the CSV file containing the data and the Jupyter Notebook with the code.
saswatchoudhury7
Data science project analyzing a comprehensive car sales dataset. Includes data cleaning, exploratory data analysis, and visualization using Python (pandas, numpy, matplotlib, seaborn). Insights cover price trends, fuel types, brands, and market patterns to support data-driven decision-making in the automotive sector.
sahoosuraj421-dot
No description available
Shedychat
No description available
No description available
aryan98875
No description available
engmohamedsamir943-dot
No description available
BalaSaiKoundinya5
No description available
ritikaa13
Car Sales Data Analysis using Python
Abdallahsamy66
Car Sales Data Analysis using Python
No description available
karthik998-data
No description available
chanyakyapadole08
Simple car sales data analysis using Python
No description available
This project analyzes car sales data using Python’s pandas, matplotlib, and seaborn libraries. It focuses on exploring trends in pricing, customer demographics, and regional sales performance. The data is cleaned and prepared to ensure accuracy, followed by exploratory data analysis (EDA) to uncover meaningful insights.