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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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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https://realpython.com/primer-on-jinja-templating/
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Build a Social Network With Django β Part 1
https://realpython.com/django-social-network-1/
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Build a Django Front End With Bulma β Part 2
https://realpython.com/django-social-front-end-2/
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Build and Handle POST Requests in Django β Part 3
https://realpython.com/django-social-post-3/
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Build and Submit HTML Forms With Django β Part 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
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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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π₯ 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
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
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The k-Nearest Neighbors (kNN) Algorithm in Python
https://realpython.com/knn-python/
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If youβre a developer wanting to use large language model tools, our new course is for you.
Youβll 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:
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Youβll 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:
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Convert a number to its equivalent word using Python
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We presented our last channel, which is considered one of the important channels for all researchers and developers: scientific and research projects that include the source code, the research paper and the data set
https://t.iss.one/DataScienceT
https://t.iss.one/DataScienceT
Telegram
ML Research Hub
Advancing research in Machine Learning β practical insights, tools, and techniques for researchers.
Admin: @HusseinSheikho
Admin: @HusseinSheikho
π₯ MIT Introduction to Deep Learning 2023
Lecture 1 *New 2023 Edition* Foundations of Deep Learning
π Video: https://www.youtube.com/watch?v=N4AcIfaROEQ
π Lectures: https://introtodeeplearning.com/
https://t.iss.one/DataScienceT
Lecture 1 *New 2023 Edition* Foundations of Deep Learning
π Video: https://www.youtube.com/watch?v=N4AcIfaROEQ
π Lectures: https://introtodeeplearning.com/
https://t.iss.one/DataScienceT
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