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@@ -5,10 +5,10 @@ src="https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e15
alt="Awesome" /></a></h1>
<p><em>If you want to know more about Data Science but don’t know where
to start this list is for you!</em> :chart_with_upwards_trend:</p>
<p>No previous knowledge required but Python and statistics basics will
definitely come in handy. These ressources have been used successfully
for many beginners at my local Data Science student group <a
href="http://ml-ka.de/">ML-KA</a>.</p>
<p>No previous knowledge is required but Python and statistics basics
will definitely come in handy. These resources have been used
successfully for many beginners at my local Data Science student group
<a href="http://ml-ka.de/">ML-KA</a>.</p>
<h2 id="what-is-data-science">What is Data Science?</h2>
<ul>
<li><a href="https://www.quora.com/What-is-data-science">‘What is Data
@@ -20,6 +20,10 @@ Learning, Data Science.</li>
<li><a href="https://amzn.to/2voPJUi">Data Science for Business
(Book)</a> - An introduction to Data Science and its use as a business
asset.</li>
<li><a href="https://www.scaler.com/blog/data-science-process/">Data
Science Process: A Beginner’s Comprehensive Guide</a> - Technical Skills
for the Data Science: This emphasizes the practical skills needed
throughout the data science process.</li>
</ul>
<h2 id="common-algorithms-and-procedures">Common Algorithms and
Procedures</h2>
@@ -33,8 +37,7 @@ href="https://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob
important Data Science algorithms and their implementation</a></li>
<li><a
href="https://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/05.03-Hyperparameters-and-Model-Validation.ipynb">Cross
validation</a> - Evaluate the performance of your algorithm /
model.</li>
validation</a> - Evaluate the performance of your algorithm/model.</li>
<li><a
href="https://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/05.04-Feature-Engineering.ipynb">Feature
engineering</a> - Modifying the data to better model predictions.</li>
@@ -182,3 +185,6 @@ alt="CC0" /></a></p>
<p>To the extent possible under law, Simon Böhm has waived all copyright
and related or neighboring rights to this work. Disclaimer: Some of the
links are affiliate links.</p>
<p><a
href="https://github.com/siboehm/awesome-learn-datascience">learndatascience.md
Github</a></p>