Tensorflow Object Detection in 5 Hours with Python | Full Course with 3 Projects
https://morioh.com/p/394e0ce5e3ac?f=5c21fb01c16e2556b555ab32

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🐍 Natural Language Processing With spaCy in Python —
https://realpython.com/natural-language-processing-spacy-python/

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Build a Realtime Chat Application From Scratch using Python Django
☞ https://morioh.com/p/3e8f7294f855?f=5c21fb01c16e2556b555ab32…

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150 Data Science Projects You Can Try with Python
https://python.plainenglish.io/85-data-science-projects-c03c8750599e

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Track Phone Number Location using Python | Python Map Project
https://morioh.com/p/027f18c35c3e?f=5c21fb01c16e2556b555ab32

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Get Started With Django Part 3: Django View Authorization

https://realpython.com/django-view-authorization/

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Primer on Jinja Templating

https://realpython.com/primer-on-jinja-templating/

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Build a Social Network With Django – Part 1

https://realpython.com/django-social-network-1/

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Build a Django Front End With Bulma – Part 2

https://realpython.com/django-social-front-end-2/

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Build and Handle POST Requests in Django – Part 3

https://realpython.com/django-social-post-3/

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Build and Submit HTML Forms With Django – Part 4

https://realpython.com/django-social-forms-4/

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Deploying and Hosting a Machine Learning Model with FastAPI and Heroku

https://testdriven.io/blog/fastapi-machine-learning/

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Adding Charts to Django with Chart.js

https://testdriven.io/blog/django-charts/

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Class-based vs Function-based Views in Django

https://testdriven.io/blog/django-class-based-vs-function-based-views/

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Deploying a Django App to Fly.io

https://testdriven.io/blog/django-fly/

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Solving Car Damage Detection Task By Using a Two-Model Computer Vision Solution

https://hackernoon.com/solving-car-damage-detection-task-by-using-a-two-model-computer-vision-solution

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What Are Convolution Neural Networks?

https://hackernoon.com/-understanding-convolution-neural-networks-cnn-the-eli5-way-photo-by-efe-kurnaz-on-unsplash-u-pa1i327j

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🔥 10 Free Machine Learning Courses from Top Universities

1. Introduction to Machine Learning - UC Berkeley

2. Introduction to Machine Learning - Carnegie Mellon University

3. Machine Learning - Stanford University

4. Machine Learning & Data Mining - Caltech

5. Learning from Data - Caltech

6. Machine Learning for Intelligent Systems - Cornell University

7. Large Scale Machine Learning - University of Toronto

8. Machine Learning with Large Datasets - Carnegie Mellon University

9. Foundations of Machine Learning and Statistical Inference - Caltech

10. Algorithmic Aspects of Machine Learning - MIT

https://t.iss.one/DataScienceT

The k-Nearest Neighbors (kNN) Algorithm in Python

https://realpython.com/knn-python/

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If you’re a developer wanting to use large language model tools, our new course is for you.

You’ll learn how to use different prompts at various stages in the system-building process, strategies for parsing long documents, and much more!

Join for free:
https://learn.deeplearning.ai/chatgpt-building-system

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