You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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.
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.
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 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.
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
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.
Analyzed hotel data using Python (Pandas, Matplotlib, Seaborn) to uncover booking trends and draw key insights into factors influencing the hotel business.