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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.
An exploratory and explanatory data analysis project using python.
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.
Python project for beginners- Analyze Diwali sales data to improve customer experience and sales
An Exploratory Data Analysis on the overall performance of Evans Superstore accross various segments like Sales, Gender, Products etc
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
merging and automating files to table format
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.
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.
This repository consists of all Data analysis projects
Practice exercises and projects to learn data analysis with Excel. Let's explore together! 🔍💻
Project : Analysis of Diwali sales for finding the target customer their occupation and the category which generate large amount of sales .
Data Analysis with Python Challenge 1 fcc-mean-var-std
Creating a custom ML project then deploying in environment for testing and further observations of Industrial Data.
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.
This project aimed to analyze FDI data from 2000 to 2017 to understand investment trends across various sectors in India. By employing advanced data visualization and statistical techniques, we were able to uncover significant patterns and provide forecasts for future investments.
Internship on Data Analysis
Data Analysis on a road data to analyze slowness in traffic.
Sales forecasting plays an important role in business development. Regardless of the size of a business or the number of salespeople, accurate sales forecasting can have a significant impact on all aspects of sales management, including planning, budgeting, and determining sales.
This project analyzes the Lok Sabha election results to provide insights into the distribution of seats among various political parties. The analysis includes:
Scan top sites for usage of polyfill.io.
Analyzed hotel data using Python (Pandas, Matplotlib, Seaborn) to uncover booking trends and draw key insights into factors influencing the hotel business.
This include all my data analysis study works and assignments.
Bee distribution survey Dash application using Dash and Python
Covid 19 analysis using a Dash Application and Python
This repository contains all the exercises made in class during the Alura's course "Data Science: Data analysis and visualization"
Retail Price Optimization focuses on determining the best prices for products to maximize profitability while balancing customer demand, competitive positioning, and business goals. The objective is to adjust prices based on market trends, customer behavior, and sales data to optimize outcomes such as revenue, margin, and market share.
Social Media Sentiment Analysis and Prediction