Infoga - Email OSINT SaaS - https://infoga.io
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Updated
Jul 31, 2024
Infoga - Email OSINT SaaS - https://infoga.io
Searches for employees of a company on linkedin, generates a list of possible emails and verifies them.
📮 Gather and automate (with cron) your daily dose of anime characters (girls or any other gender) here! Uses a personalized algorithm for your personal recommendations!
Wardriving framework + Dashboard with Geomap
This repository contains 3 projects that were carried out and submitted for my ALX Udacity Data Analyst Course
Gather all the links inside the webpage for a given target domain name
Tool Information Gathering web Write With Python
Scraper to collect data of people from LinkedIn. Google and LinkedIn search mode. Saving search results in a CSV file.
Explore the journey of data wrangling and analysis in the WeRateDogs project. Using Python, gather, assess, and clean data from the Twitter archive of @dog_rates. Unveil insights through visualizations and uncover trends like decreasing retweets over time. For details, refer to wrangle_act.ipynb and wrangle_report.pdf.
Gathering data from variety of sources and in variety of formats, assessing its quality and tidiness, then cleaning it. Followed by the wrangling efforts through analyses and visualizations.
This repository contains files for a project that had real world data set and it was wrangled and analysed.Real-world data rarely comes clean. Using Python and its libraries, I have gathered data from a variety of sources and in a variety of formats, assessed its quality and tidiness, then clean it. This is called data wrangling.
This repository contains 3 projects that were carried out and submitted for my ALX Udacity Data Analyst Course
House price index (HPI) Analysis
Gathering data from a variety of sources and in a variety of formats, assessing its quality and tidiness, then cleaning it. Showcase wrangling efforts through analysis and visualizations.
A python program that takes usefull information and send them to a discord webhook
This dataset collects information from 100k medical appointments in Brazil and is focused on the question of whether or not patients show up for their appointment. A number of characteristics about the patient are included in each row.
Dataset gathering of Polish negative words.
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