Laptop Price Prediction with Regression Analysis and Exploratory Data Analysis (EDA)
-
Updated
Jul 30, 2023 - Jupyter Notebook
Laptop Price Prediction with Regression Analysis and Exploratory Data Analysis (EDA)
End-to-end exploratory data analysis using SQL with advanced queries, data cleaning, aggregations, and joins to extract actionable insights | SQL | Data Analysis
A collection of Excel 365 projects and exercises.
Simple helper tools of statistical analysis for Python.
This repository contains all data science projects taken in the IBM data science course.
End-to-end exploratory data analysis and machine learning project on a 40k+ real estate dataset, uncovering key price drivers and building predictive models.
Customer & Marketing Analysis of a Car Business
SQL-based project focused on cleaning and analyzing real-world layoffs data.
A SQL-based data analysis project that explores a fictitious bike rental system. This project demonstrates core SQL skills such as joins, aggregations, filtering, and business logic by answering real-world questions related to customer behavior, operational efficiency, and profitability.
Exploratory Data Analysis on Retail Sales Data in SQL
💎 A comprehensive SQL Master Repository featuring 100+ queries and end-to-end projects. Includes Beginner to Advanced Topics, Data Warehouse Architecture (Medallion/Star Schema), and Business Intelligence Case Studies. Perfect for recruiters looking for proof of technical SQL mastery.
This repo contains all class projects from my first in my Data Analytics program, designed to provide a deep dive into my grasp of analysis fundamentals and to exposure to key elements of data work.
💻 Predict laptop prices by analyzing specs with a Random Forest model achieving 82% accuracy in an end-to-end machine learning workflow.
Add a description, image, and links to the exporatory-data-analysis topic page so that developers can more easily learn about it.
To associate your repository with the exporatory-data-analysis topic, visit your repo's landing page and select "manage topics."