Perform Clustering for the crime data and identify the number of clusters formed and draw inferences. Data Description: Murder -- Muder rates in different places of United States Assualt- Assualt rate in different places of United States UrbanPop - urban population in different places of United States Rape - Rape rate in different places of Unit…

Pandas groupby method used to extract data from tips dataset

Unsupervised-ML---Hierarchical-Clustering-University Data. Import libraries, Import dataset, Create Normalized data frame (considering only the numerical part of data), Create dendrograms, Create Clusters, Plot Clusters.

Utilize SQL to conduct a comprehensive analysis of pizza sales data, aiming to uncover patterns, trends, and insights that will inform strategic decision-making and enhance overall business efficiency.

Fast groupby-apply operations in python.

Assignment-07-DBSCAN-Clustering-Crimes. Perform Clustering for the crime data and identify the number of clusters formed and draw inferences.

Project to analyze key information from Culinary Jorney, a marketplace Company, and develop an initial strategy to lead the entire team effectively.

This Project aims at analysing 12 months’ worth of sales data containing hundreds of thousands of electronics store purchases broken down by month, product type, cost, purchase address, etc.

Understanding Pandas, Groupby Function, Filtering Function

Learning "Pandas" Library

Using Python and Jupyter Notebook, school district's data is cleared of inaccuracies.

Prediction of house price using Linear Regression Supervised Machine learning Algorithm

Perform DataFrame operations in Pandas for a more in-depth look at data wrangling in practice

DS Foundations II | A/B Testing for ShoeFly.com

Created summary DataFrame of ride-sharing data by city type using Python and multiple-line graph of weekly fares by city type using Pandas and Matplotlib.

Used libraries and functions as follows:

Welcome to the Pandas Basics library! 🚀 This repository is designed to help beginners and aspiring data scientists grasp the core concepts of Pandas, one of the most powerful Python libraries for data manipulation and analysis.

A lecture on introductory data wrangling for my 3rd year Physics and Space Sciene students.

Data Analysis with Python project from freeCodeCamp (2 of 5)

This project is a beginner-friendly SQL database designed to manage student, course, enrollment, and grade records. It demonstrates how to design relational databases, enforce relationships with primary and foreign keys, and query data using JOINs, GROUP BY, and aggregate functions.