📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage. - life4/textdistance

Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.

🔗 Learning resources: https://github.com/ayush714/ML001-Project-Sources-Code-and-Learning-Materials
💻 Code: https://github.com/ayush714/ML001…

How you can stand out from others and pass every time

A beginner-friendly introduction to common data structures (linked lists, stacks, queues, graphs) and algorithms (search, sorting, recursion, dynamic programming) in Python. This course will help you prepare for coding interviews and assessments.

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Are there any limits to large neural networks?

In this spaCy tutorial, you will learn all about natural language processing and how to apply it to real-world problems using the Python spaCy library.

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✏️ Course developed by Dr. William Mattingly.…

Raymond Hettinger
Learn to take better advantage of Python's best features and improve existing code through a series of code transformations, "When you see this, do that instead."

Offered by DeepLearning.AI. Break into NLP. Master ... Enroll for free.

Despite the growing enthusiasm for DSML's core technologies, getting results from its strategies is elusive for enterprises.

🏅 Collection of Kaggle Solutions and Ideas 🏅. Contribute to faridrashidi/kaggle-solutions development by creating an account on GitHub.

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Supercharge Your Model Training. Contribute to mosaicml/composer development by creating an account on GitHub.

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The era of the data engineer is upon us

Comparing the performance of Julia and Python by generating prime numbers and calculating the reciprocals of primes