Python Courses & Resources
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Master Python with step-by-step courses – from basics to advanced projects and practical applications.
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Data scientists are in high demand right now: there's just too much data to analyze.

In this course, Tatev and Vae teach #Python for #DataScience.

You'll be doing projects and exploring EDA, A/B testing, BI, and more.

https://t.me/Python53 🌟
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Design patterns are proven solutions to common problems in development. If you've ever found yourself constantly writing the same thing when creating objects or struggling with managing different types of objects, then the factory pattern might be exactly what you need.

In this tutorial:
https://www.freecodecamp.org/news/how-to-use-the-factory-pattern-in-python-a-practical-guide/

you'll learn what a factory is, why it's useful, and how to implement it in #Python. We'll gather practical examples that will show when and how to apply this pattern in real tasks.

The code can be found on #GitHub
https://github.com/balapriyac/python-basics/tree/main/design-patterns/factory

https://t.me/CodeProgrammer
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Ex_Files_Python_for_Data_Science_Tips.zip
4.8 MB
🔅 Python for Data Science Tips, Tricks, and Techniques

📋 Topics: #DataScience, #Python

https://t.me/Python53
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🔅 Deep Learning: Image Recognition

📝 Learn how to design, build, and deploy a deep neural network to serve as an image recognition system.

📋 Topics: #ImageRecognition, @DeepLearning, #ComputerVision #python

https://t.me/Python53
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🔅 Machine Learning with Python: k-Means Clustering

📝 Learn the basics of k-means clustering, one of the most popular unsupervised machine learning approaches.

📋 Topics: #kmeans #clustering, #MachineLearning, #Python

https://t.me/Python53 🌷
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🔅 Deep Learning with Python: Convolutional Neural Networks

📝 Gain hands-on experience building, training, and evaluating convolutional neural networks (CNNs) using Python for image classification, object detection, and segmentation.

📋 Topics: #CNN, #DeepLearning, #Python
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