Mance Raider
@ManceRaider24
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A Data Analyst, and an AI engineer in training
North of the wall
Joined October 2023
Yesterday, I challenged myself to code in Python every day until the month ends, and today I created a QR code that links directly to my latest post. Today I learned how to fix indentation errors, properly define functions with def, and effectively use the qrcode library.
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I also made sure that when the player wins and chooses to play again, the system does not repeat the same number. And the best part is that I can keep playing because it’s so much fun!
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It’s a guessing game where the system picks a random number, and the player keeps guessing until they get the right one. It’s really fun! I used basic functions for this project, such as importing the random module, using a while loop, and applying break statements.
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This challenge will help me strengthen my Python skills, understand my code deeply, and grow into a better developer. This week, I built a fun game as my first project.
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However, I later realized that I had been learning the wrong way, I was not building projects on my own without relying on YouTube videos or AI tools to guide me. So, I set a new goal for myself: this month, I will build one Python based project every day.
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A few weeks ago, I decided to satisfy my curiosity and learn more about AI Engineering. I even purchased a course to gain the skills needed to become an AI Engineer. #MyAIJourney
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Yesterday, I decided to start documenting my work on GitHub as proof of work. It was challenging with many errors, but I pushed through. My latest churn prediction project is now live on GitHub: https://t.co/Bw7xmETWPI
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We held our first virtual class today, kicking off the journey for our inaugural Builder Cohort! Huge shoutout to everyone who joined, asked questions, and showed real excitement to build. 💚 This is just the beginning , more lectures, office hours, and hands-on projects
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like bro 🤣🤣🤣🤣
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Cloudflare went down, making major platforms like ChatGPT, X, Spotify, and Udemy suddenly inaccessible and disconnecting millions of users from the internet. Now imagine a scenario where both AWS and Cloudflare go down for just three hours on the same day.
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Your email is your key! That's how simple logging into your #Solana wallet should be. Welcome to Cellar. #NoSeedPhrase
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the model provides insights that help companies: - Identify customers at high risk of leaving - Take strategic actions to increase retention - Improve customer satisfaction - Make smarter, data-driven decisions
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About My Project My project focuses on building a machine learning model that predicts customer churn using past customer data. By analyzing features like customer behavior, service usage, and billing information,
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- It reduces revenue loss: Retaining existing customers is far cheaper than acquiring new ones. Predicting churn helps companies protect their income. - It boosts long-term growth - It enables better decision-making: Churn insights help businesses understand behavior.
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Here’s why it matters: - It helps companies retain customers: Predicting which customers may leave gives businesses the opportunity to intervene through offers, improved support, or personalized communication.
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Why is Churn Prediction Important? Churn prediction uses historical customer data to identify customers who are likely to leave in the future. This allows companies to act early and prevent losses.
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In simple terms: Churn = When customers leave. Understanding churn is important because it directly affects a company’s revenue, stability, and long-term growth.
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What is Churn? Customer churn refers to the number of customers who stop using a company’s product or service over a given period. For example, in a telecom company, churn occurs when a customer cancels their subscription and switches to a competitor. #MyAIjourney
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Finally, my model is done. I will be uploading everything about it. After all the errors and headaches, I have a functioning model.@the_deeverse
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