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SCA-OAU / LearnLink

A comprehensive collection of learning resources for all stages of your tech career, from beginner to advanced. Designed to help you grow and succeed in various tech fields.
MIT License
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Add [machine-learning] to [machine-learning] #18

Closed motuncoded closed 1 week ago

motuncoded commented 1 week ago

This folder contains machine learning resources closes #15

motuncoded commented 1 week ago

Thanks for the changes, would be glad to correct them as soon as possible.

On Thu, Oct 24, 2024, 6:06 AM Mercy Umoh @.***> wrote:

@.**** requested changes on this pull request.

Lovely work done so far 👏 for some strange reason the images aren't showing but just make the changes requested so I can merge and see if they will show up after being merged.

In MachineLearning/MachineLearning.md https://github.com/SCA-OAU/LearnLink/pull/18#discussion_r1814250526:

@@ -0,0 +1,112 @@ +# 🤖 Machine Learning Resources + +Welcome to the Machine Learning section. Whether you're just starting or have some experience, this resource guide will help you navigate the concept of learning machine learning at different levels. + +Machine Learning + +## 📑 Table of Contents +1. Beginner Level

the link is missing a 's' should be 'beginners'

In MachineLearning/MachineLearning.md https://github.com/SCA-OAU/LearnLink/pull/18#discussion_r1814251717:

@@ -0,0 +1,112 @@ +# 🤖 Machine Learning Resources + +Welcome to the Machine Learning section. Whether you're just starting or have some experience, this resource guide will help you navigate the concept of learning machine learning at different levels. + +Machine Learning + +## 📑 Table of Contents +1. Beginner Level +2. Intermediate Level +3. Advanced Level +4. Popular Tools & frameworks

you dont need to put 'and' in the link

In MachineLearning/MachineLearning.md https://github.com/SCA-OAU/LearnLink/pull/18#discussion_r1814252403:

@@ -0,0 +1,112 @@ +# 🤖 Machine Learning Resources + +Welcome to the Machine Learning section. Whether you're just starting or have some experience, this resource guide will help you navigate the concept of learning machine learning at different levels. + +Machine Learning + +## 📑 Table of Contents +1. Beginner Level +2. Intermediate Level +3. Advanced Level +4. Popular Tools & frameworks +5. Additional Resources +6. Contribute

Should be 'contributing' or you change the heading below to 'contribute'

In MachineLearning/MachineLearning.md https://github.com/SCA-OAU/LearnLink/pull/18#discussion_r1814253756:

+--- + +## 🔴 Advanced Level + +### Advanced Techniques and Optimization +At the advanced level, the focus shifts to optimizing your models, working with large datasets, and using deep learning techniques to push the boundaries of what machine learning can achieve. + +### Advanced Resources: +1. Deep Learning Specialization (Coursera) - A complete course on deep learning from Andrew Ng. +2. Advanced Machine Learning on Kaggle - Learn how to work with time series, natural language, and deep learning. +3. A/B Testing in Machine Learning - Techniques for evaluating model performance in production. +4. MLFlow for Model Management - A tool for managing machine learning models, experiments, and deployments. + +--- + +## ⚒️ Popular Tools & Frameworks

If you remove the 'and' in the table of content and the link is still not working, try replacing the emoji used here

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