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Advertising on the Telegram channel «Epython Lab»
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Welcome to Epython Lab, where you can get resources to learn, one-on-one trainings on machine learning, business analytics, and Python, and solutions for business problems.
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Consistency is the real game-changer in learning to code.
You don’t need 10 hours a day.
You just need one focused hour, every day.
Whether you're just starting with Python, diving into machine learning, or building your first web app, the secret to growth isn’t in the intensity—it’s in the consistency.
I've seen firsthand (both personally and through mentoring others) that those who commit to steady, incremental progress often surpass those who rely on occasional bursts of effort.
Make it a habit. Show up every day.
Even on the days when it feels hard. Especially on those days.
Progress compounds—and that’s how coders are made.
Resources to Learn
01: Introduction to Python: https://youtu.be/9nkITaOCx_U
02: How to Get Started with Python in VS Code: https://youtu.be/EGdhnSEWKok
#Coding #Python #LearnToCode #DeveloperJourney #Consistency #GrowthMindset #TechCareers
You don’t need 10 hours a day.
You just need one focused hour, every day.
Whether you're just starting with Python, diving into machine learning, or building your first web app, the secret to growth isn’t in the intensity—it’s in the consistency.
I've seen firsthand (both personally and through mentoring others) that those who commit to steady, incremental progress often surpass those who rely on occasional bursts of effort.
Make it a habit. Show up every day.
Even on the days when it feels hard. Especially on those days.
Progress compounds—and that’s how coders are made.
Resources to Learn
01: Introduction to Python: https://youtu.be/9nkITaOCx_U
02: How to Get Started with Python in VS Code: https://youtu.be/EGdhnSEWKok
#Coding #Python #LearnToCode #DeveloperJourney #Consistency #GrowthMindset #TechCareers
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🚀 Model Comparison for Loan Classification
4 years ago, I built and compared several classification models to predict loan applicants as Creditworthy or Non-Creditworthy. After performing data cleansing, handling missing values, and tuning parameters, I evaluated the models using precision, recall, and F1-score.
🔍 The Random Forest Classifier stood out with an AUC of 80% and an accuracy of 79%, successfully classifying 418 loans as Creditworthy and 82 as Non-Creditworthy.
Looking back, it's been a great learning experience, and I encourage exploring different tuning parameters and cross-validation techniques to improve model performance even further.
Check out the full source code on GitHub! 💻
https://medium.com/@epythonlab/best-practices-of-classification-models-towards-predicting-loan-type-c510d9b0dff6
4 years ago, I built and compared several classification models to predict loan applicants as Creditworthy or Non-Creditworthy. After performing data cleansing, handling missing values, and tuning parameters, I evaluated the models using precision, recall, and F1-score.
🔍 The Random Forest Classifier stood out with an AUC of 80% and an accuracy of 79%, successfully classifying 418 loans as Creditworthy and 82 as Non-Creditworthy.
Looking back, it's been a great learning experience, and I encourage exploring different tuning parameters and cross-validation techniques to improve model performance even further.
Check out the full source code on GitHub! 💻
https://medium.com/@epythonlab/best-practices-of-classification-models-towards-predicting-loan-type-c510d9b0dff6
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Debugging and Troubleshooting in Python: A Developer’s Essential Guide
Debugging and troubleshooting are essential skills for any Python developer. While these tasks can be frustrating, they are a necessary part of the software development process. Proper debugging helps developers identify the root cause of issues and ensures smoother project delivery.
In this article, you will explore common debugging challenges, essential techniques, and how you can improve your debugging efficiency with Python. Whether you’re a beginner or an experienced developer, mastering debugging techniques will save you countless hours of frustration.
https://medium.com/@epythonlab/debugging-and-troubleshooting-in-python-a-developers-essential-guide-b3415f53b1e0
Debugging and troubleshooting are essential skills for any Python developer. While these tasks can be frustrating, they are a necessary part of the software development process. Proper debugging helps developers identify the root cause of issues and ensures smoother project delivery.
In this article, you will explore common debugging challenges, essential techniques, and how you can improve your debugging efficiency with Python. Whether you’re a beginner or an experienced developer, mastering debugging techniques will save you countless hours of frustration.
https://medium.com/@epythonlab/debugging-and-troubleshooting-in-python-a-developers-essential-guide-b3415f53b1e0
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Understanding what kind of Data you should store in computer memory
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Enjoy our content? Advertise on this channel and reach a highly engaged audience! 👉🏻 It's easy with Telega.io. As the leading platform for native ads and integrations on Telegram, it provides user-friendly and efficient tools for quick and automated ad launches. ⚡️ Place your ad here in three simple steps: 1 Sign up 2 Top up the balance in a convenient way 3 Create your advertising post If your ad aligns with our content, we’ll gladly publish it. Start your promotion journey now!
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