Learn how to use Python to analyze real-world email data. This video will show you how to gather insights from your inbox, including identifying common themes, analyzing sender patterns, and visualizing email trends.
Python DATA Science Libraries Are a GAME Changer
We’ll cover:
✅ Fetching emails using IMAP 📩
✅ Extracting key details (sender, subject, body) ✉️
✅ Performing sentiment analysis to detect emotions 😊😡😐
✅ Visualizing data with charts & word clouds 📊
✅ Automating insights for business & personal use 🔄

🔗 Code: github.com/JacobIsah/PythonAnalyzeEmails

blog: enemzy.blogspot.com/
website: jacobisah.com/

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00:00 - Introduction
00:36 - Why Email Analysis Matters?
01:30 - Setting Up Your Python Environment
03:36 - Extracting Email Data
14:04 - Analyzing and Visualizing Insights
16:13 - Real-World Applications
19:54 - Conclusion

Tags.
#python, #email #programming #emoji #emotional #empowerment #emojicat #analysis #learnprogramming #ai #automobile #art #africa #coding #anime #attitude #animation #android #and #sentimentanalysis #datascience #datasciencebasics #datasciencetools #datasciencecourse #datasciencetutorial #datascienceskills #pythonforbeginners #imaprilofficial #imap #machinelearning #machinelearningmodels #machinelearningfullcourse #machinelearningwithpython #machinelearningproject #machinelearningproject #textmining #businessinsights #emailautomation #datavisualization #naturallanguageprocessing #wordcloud #matplotlib #dataanalytics


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