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Created page with "== TensorFlow == <font><i> <br> <br> <u><b>Below are some websites with more information and beginner tutorials</u>:</b></i></font> * [https://www.learndatasci.com/tutorials/..."
== TensorFlow ==
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<u><b>Below are some websites with more information and beginner tutorials</u>:</b></i></font>
* [https://www.learndatasci.com/tutorials/python-pandas-tutorial-complete-introduction-for-beginners/ Python Pandas Tutorial: A Complete Introduction for Beginners <b>(learndatasci.com)</b>]
* [https://towardsdatascience.com/how-to-master-pandas-for-data-science-b8ab0a9b1042 How to Master Pandas for Data Science <b>(towardsdatascience.com)</b>]
* [https://www.kaggle.com/learn/pandas Solve Short Hands-on Data Manipulation Challenges <b>(kaggle.com)</b>]
* [https://machinelearningmastery.com/prepare-data-for-machine-learning-in-python-with-pandas/ Prepare Data for Machine Learning in Python with Pandas <b>(machinelearningmastery.com)</b>]
* [https://towardsdatascience.com/data-manipulation-for-machine-learning-with-pandas-ab23e79ba5de Data Manipulation for Machine Learning with Pandas <b>(towardsdatascience.com)</b>]
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<font><i>
<br>
<br>
<u><b>Below are some websites with more information and beginner tutorials</u>:</b></i></font>
* [https://www.learndatasci.com/tutorials/python-pandas-tutorial-complete-introduction-for-beginners/ Python Pandas Tutorial: A Complete Introduction for Beginners <b>(learndatasci.com)</b>]
* [https://towardsdatascience.com/how-to-master-pandas-for-data-science-b8ab0a9b1042 How to Master Pandas for Data Science <b>(towardsdatascience.com)</b>]
* [https://www.kaggle.com/learn/pandas Solve Short Hands-on Data Manipulation Challenges <b>(kaggle.com)</b>]
* [https://machinelearningmastery.com/prepare-data-for-machine-learning-in-python-with-pandas/ Prepare Data for Machine Learning in Python with Pandas <b>(machinelearningmastery.com)</b>]
* [https://towardsdatascience.com/data-manipulation-for-machine-learning-with-pandas-ab23e79ba5de Data Manipulation for Machine Learning with Pandas <b>(towardsdatascience.com)</b>]
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