Category: Basic Projects

Investor sentiment is an incredibly important indicator when looking for clues on the future performance of a stock. With natural language processing and machine learning, you can extract sentiment from news headlines automatically in this natural language processing project. 

Who is the most successful country in Judo? How does athlete height impact success in a sport? With exploratory analysis of the Olympics dataset, you’ll be able to answer these questions and more.   

Gross domestic product is one of the strongest indicators of a region or nation’s economic health. In this dataset, analyze how GDP has evolved for countries over the past 50 years. 

This is an excellent dataset for understanding the dynamics behind Airbnb rental listings. With exploratory data analysis and visualization, you’ll be able to understand which neighborhoods have the most popular listings, understand the relationship between price and room type, and more. 

Using this e-commerce dataset from an online retailer, leverage data visualization and forecasting techniques to predict future sales. The dataset is rich, covering orders from multiple countries over a year and includes a variety of variables like invoice numbers, stock codes, quantities, and unit prices. This allows for a multi-faceted analysis that can include time-series trends, customer…

At which range do basketball players are most likely to score a shot? In this NBA shooting dataset captured from the 2021 NBA playoffs, you’ll be able to answer just that question. 

Do you want to find out the reason behind the 100% spike in Tesla’s stocks two years ago? If yes, the 2010–2021 tech stocks dataset will be the first place to start.

Customer churn is one of the most foundational machine learning problems. In this customer dataset, you’ll be able to predict churn for a telecom provider based on usage data from their customers. The dataset includes a variety of features, such as call failures, subscription length, and customer value, making it a rich resource for in-depth analysis.…

A football (or soccer) dataset where you can explore, analyze, and visualize events from the 2018-2019 season of the English Premier League. The Soccer Data dataset offers an excellent beginner Python project for data analysis. With a rich set of features ranging from basic game details to intricate statistics, the dataset provides ample opportunities for data exploration,…

This is a unique dataset from zoology. Abalone shells are miracles of nature, and you can determine their age by counting the circles inside their shells. Can you determine the age of Abalone shells with Python data analysis skills?