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46 changes: 44 additions & 2 deletions Roadmap.md
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Expand Up @@ -262,6 +262,36 @@ It is not necessary to complete all the courses mentioned below. If you feel tha
<br><br>

## 4.0 Machine Learning (To Be Completed)
<table>
<tr>
<td>Index</td>
<td>Course Name</td>
<td>Link</td>
<td>Description</td>
</tr>

<tr>
<td>2.</td>
<td>9 Key Machine Learning Algorithms Explained in Plain English>Link to the Course</a></td>
<td>https://www.freecodecamp.org/news/a-no-code-intro-to-the-9-most-important-machine-learning-algorithms-today/</td>
<td>A very useful intro to 9 of the most used machine learning algorithms used. Even better, it is light on pure maths, and more heavy on the explaining concepts side ... and using normal and plain english to boot! IMPORTANT! -> Be sure to check the rest of the site as you'll probably find a ton of other useful stuff there!</td>
</tr>

<tr>
<td>2.</td>
<td>Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems>Link to the Course</a></td>
<td>https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=as_li_ss_tl?dchild=1&keywords=scikit+learn&qid=1598661723&sr=8-5&linkCode=sl1&tag=kenjee-20&linkId=1a01eae222ae8d24bc9e3d57b223f94a&language=en_US</td>
<td>A book with practical ML examples focusing on both the scikit-learn and tensorflow libraries. A must that has been recommended by many ML experts!</td>
</tr>
<td>3.</td>
<td>Approaching (Almost) Any Machine Learning Problem (Book)</td>
<td><a href="https://www.amazon.com/Approaching-Almost-Machine-Learning-Problem-ebook/dp/B089P13QHT/ref=as_li_ss_tl?dchild=1&keywords=abhishek+thakur&qid=1598661786&sr=8-1&linkCode=sl1&tag=kenjee-20&linkId=43f219fc9875e634f0a5536acd4fa781&language=en_US">Link to the Course</a></td>
<td>If you have a bit of theoretical knowledege, it is a useful book to find guidance to find solutions where machine learning is useful!</td>
</tr>
</table>
<br><br>



<br>

Expand All @@ -278,8 +308,20 @@ It is not necessary to complete all the courses mentioned below. If you feel tha
<br><br>

## 5.0 Deep Learning (To Be Completed)

<br>
<table>
<tr>
<td>Index</td>
<td>Course Name</td>
<td>Link</td>
<td>Description</td>
</tr>
<tr>
<td>1.</td>
<td>The fastai book -(Github repo) >Link to the Course</a></td>
<td>https://github.com/fastai/fastbook/blob/master/README.md</td>
<td>This github repo contains notebooks that can be used as an introduction to deep learning, fasti, pytorch and the like. Since it comes with notebook, you can learn and practice at the same time!</td>
</tr>
<br><br>

### Artificial Neural Networks

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