IS783 - Social Media Analytics course tutorial notebooks

⚽📊 Football Data Science: Uncovering trends, patterns, and insights from historical soccer data across leagues, tournaments, and time! From data collection to visualization, we tell compelling stories about the beautiful game. 🥅📈

The Plant-Image-Batch-ID is a Python-based Jupyter Notebook designed for automated plant identification from a directory of images that utilizes the PlantNet API.

Hii i created Explore-Data-Analysis using python , Jupyter Notebook

Contains labs in Jupyter Notebooks created as part of my IBM Data Science Professional Certificate

This repository includes Jupyter notebooks focused on analyzing data from SpaceX Falcon 9 rocket launches. The project covers the entire data science process, from data collection and preparation to exploratory analysis and machine learning predictions. Each notebook addresses a distinct step in the analysis workflow.

This repository contains a few Python Notebook I created to collect data of COVID-19 cases from the government website.

This project presents a straightforward and simple approach to collecting, processing and storing data from YouTube channels using the YouTube Data API and storing it in an SQL database, all implemented in a Jupyter Notebook

EDA for more than 30K game ratings collected from [IGDB API](https://api-docs.igdb.com/#about) using [igdb-api-v4 for python](https://github.com/twitchtv/igdb-api-python). This notebook explores any common trends for games that have ratings from igdb and external critics.

The objective of this project was to analyze Udemy course data using Python in a Jupyter Notebook environment. Udemy is a popular online learning platform offering a wide range of courses on various subjects. The dataset used in this project contained information about different Udemy courses, including their titles, no of subscribers and more.