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 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.

Detailed Analysis of Features that affects Student Performance

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

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.

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.

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

Welcome to the exciting world of time series forecasting, where we embark on a journey to predict store sales for Favorita, one of Ecuador's largest and most prominent grocery retailers. In this data-driven project, we delve deep into the intricate art of predictive analytics, armed with historical sales data, cutting-edge machine learning skills

Python project for beginners- Analyze Diwali sales data to improve customer experience and sales

Analysis on Delhivery

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

Creating a custom ML project then deploying in environment for testing and further observations of Industrial Data.

merging and automating files to table format

Data Analysis with Python Challenge 1 fcc-mean-var-std

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.

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.