Uncover FIFA insights for global football data, highlighting crucial World Cup performance indicators.
-
Updated
May 12, 2024 - Jupyter Notebook
Uncover FIFA insights for global football data, highlighting crucial World Cup performance indicators.
This repository is dedicated to analyzing Amazon sales data to identify trends and insights that can help improve sales strategies and performance.
Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is an exciting time to adopt a disruptive technology that will transform how investment decisions are made on a broad scale.
The movies are recommended based on the content of the movie you entered or selected. The main parameters that are considered for the recommendations are the genre, director, and top 3 casts. The details of the movies, such as title, genre, runtime, rating, poster, casts, etc., are fetched from TMDB.
Python-based project focused on customer churn analysis in the telecom industry. Using real-world-inspired datasets, this project provides insights into why customers may leave a telecom provider. By understanding and predicting churn, telecom providers can make data-driven decisions to improve customer retention.
Analisa playlists do youtube a partir de seu link
Training - Google Exercise - ML
AI beer sommelier
Machine Learning
Add a description, image, and links to the skilearn topic page so that developers can more easily learn about it.
To associate your repository with the skilearn topic, visit your repo's landing page and select "manage topics."