100-Days-Of-ML-Code
tutorials
100-Days-Of-ML-Code | tutorials | |
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4 | 8 | |
43,599 | 36,045 | |
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0.0 | 10.0 | |
5 months ago | 5 days ago | |
Java | ||
MIT License | MIT License |
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100-Days-Of-ML-Code
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Top 10 GitHub Repositories for Python and Java Developers
5. Avik-Jain/100-Days-Of-ML-Code - As the name implies, this repository offers a structured approach to learning machine learning with Python. It covers core ML principles and algorithms through real-world applications. https://github.com/Avik-Jain/100-Days-Of-ML-Code
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Top 10 GitHub Repositories Every Developer Should Bookmark in 2024
2) 100 Days of ML Code: Embark on a 100-day journey into the fascinating world of machine learning with this structured curriculum. Packed with bite-sized coding challenges and real-world projects, this repository will transform you from a coding novice to a confident ML enthusiast. (https://github.com/Avik-Jain/100-Days-Of-ML-Code)
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✨ 5 Best GitHub Repositories to Learn Machine Learning in 2022 for Free 💯
1️⃣ 100 Days Of ML Code
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The Ultimate Resource Guide for Your Next 100 Days of Code
ML: 100-Days-Of-ML-Code
tutorials
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Top 10 GitHub Repositories for Python and Java Developers
4. Baeldung Java and Spring Tutorials This repository offers a variety of tutorials on Java and Spring, with easy-to-follow code examples. https://github.com/eugenp/tutorials
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Are java codebases generally readable? Or is the stereotype true that they are littered with the worst OOP has to offer?
But ok, lets try with this example, line 40 : https://github.com/eugenp/tutorials/blob/master/testing-modules/junit5-annotations/src/test/java/com/baeldung/junit5/nested/OnlinePublicationUnitTest.java This code tests a function which is 5 lines long, called only once. It doesn't even deserve a method declaration, this is complexity for the sake of testability. 6 months from now, when you look for articles filtered by user membership, you are not going to find this function. You will be lost in a maze of method declarations. Fragmenting your execution flow is a bad idea, especially for testability purposes. The test code is even more complex than the code being tested.
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Back End with spring!
Baeldung has a lots of tutorials... GitHub - WebModules
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FastJSON - Convert POJO to/from JSON
You can checkout more examples on below GitHub Repository. https://github.com/eugenp/tutorials/tree/master/json-modules/json-2
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Spring Boot with Postgres application not working on Docker.
I found an example for you online: https://github.com/eugenp/tutorials/tree/master/docker/docker-spring-boot-postgres
- GitHub - eugenp/tutorials: Just Announced - "Learn Spring Security OAuth":
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How to clone the tutorial by Baeldung ?
git clone https://github.com/eugenp/tutorials.git
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OOPs principles, interfaces, abstract classes, etc practice suggestions.
The best way is to find a job, write horrible code, get absolutely humiliated on the MR and then you will start getting all that stuff. A second option would be to read code from others, I always keep this repo open https://github.com/eugenp/tutorials.
What are some alternatives?
100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
Design Patterns - Design patterns implemented in Java
machine_learning_basics - Plain python implementations of basic machine learning algorithms
kotlin-tutorials
Data-science-best-resources - Carefully curated resource links for data science in one place
machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.
dive-into-machine-learning - Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
100DaysOfCode - A GitHub Repo for my #100DaysOfCode challenge projects
awesome-python-data-science - Probably the best curated list of data science software in Python.
SuperStyl - Supervised Stylometry
Py_Trans - Customize Python Syntax
carbon - :black_heart: Create and share beautiful images of your source code