Arduino MKR Projects for Schools is a colourful entry-level resource, which introduces learners to the exciting world of microcontrollers, the Internet of Things and Data Science. Learners use both simulators and physical devices to build systems and solve real-life problems.

This repository contains an in-depth analysis of a cybersecurity dataset. The primary goal is to identify patterns, vulnerabilities, and trends in cyberattacks by leveraging various visualizations and statistical insights. The project provides actionable insights for enhancing cybersecurity measures.

This is an analysis made on a superstore to understand why they had been making losses over a four year period, yet it had accounts on a substantial amount of sales over the same year period.

Practice exercises and projects to learn data analysis with Excel. Let's explore together! 🔍💻

A project for analysing blockchain transactions and tracing fund movements using Tronscan APIs. Verifies recipient addresses, checks transaction accuracy, and maps fund flows to detect discrepancies, ensuring transparency and integrity in cryptocurrency transactions.

Detailed Analysis of Features that affects Student Performance

Data Analysis with Python Challenge 2 fcc-demographic-data-analyzer

KC House Data Analysis

AlmaBetter Capstone Project -Exploratory data analysis (EDA) is used by data scientists to analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods.

An exploratory and explanatory data analysis project using python.

In this project, you will analyse customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn and identify the main indicators of churn.

This project analyzes Poland's housing rental and buying market, using the latest data from fromrightspace and tools like Python Snowflake and Tablue. Please take a look at the readme file for more information.

Telco Customer Churn Analysis - Data analysis and visualization to identify churn patterns in telecom customers. Includes EDA, feature engineering, and optional machine learning modeling to predict churn and provide business insights.

Electoral Bond Data Analysis Using Python : This repository contains a comprehensive analysis of electoral bonds in India using Python. The project aims to understand the distribution, trends, and impact of electoral bonds on political funding. It includes data cleaning, exploratory data analysis, visualization, and reporting.

An Exploratory Data Analysis on the overall performance of Evans Superstore accross various segments like Sales, Gender, Products etc

This is a GitHub repository with a project on loan portfolio analysis and communication for a financial institution using Python, Pandas, and Matplotlib. It provides insights into loan distribution and customer demographics, as well as communication effectiveness.

merging and automating files to table format

Project : Analysis of Diwali sales for finding the target customer their occupation and the category which generate large amount of sales .