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# ADS1001/2 PyData Resources
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## Course Materials: Jupyter Notebooks
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* [Basic Python Concepts](03-BeginnerToAdvanced/BeginnerToAdvanced.ipynb)
* [Pandas Basics: Reading, Cleaning and Exploring Data](01-Incoming-survey/Reading-Cleaning-Exploring.ipynb)
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* Pandas: Handling Timeseries Data
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    * [Melbourne Pedestrian Data](02-Pandas-Timeseries/Melbourne-Pedestrians.ipynb)
    * [Melbourne Weather Data](02-Pandas-Timeseries/Weather.ipynb)
* [Pandas: Merging and Joining](04-Merging/MergeJoinIntro.ipynb)
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* Regression Models
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    * [Linear Regression](05-LinearRegression/LinearRegress.ipynb)
    * [Polynomial Regression](05-LinearRegression/PolyFitt.ipynb)
    * [Multi Linear Regression](05-LinearRegression/Diabetes.ipynb)
    * [Logistic Regression](05-LinearRegression/LogisticRegressionIris.ipynb)
    * [Multiclass Logistic Regression](05-LinearRegression/MulitLogisticRegression.ipynb)

## Online Tutorials: Python/Pandas Basics
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* [Jupyter Notebook for Beginners: A Tutorial](https://www.dataquest.io/blog/jupyter-notebook-tutorial) - This tutorial covers some basic essentials of Python, Jupyter and Pandas library.
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* [Dealing with Rows and Columns in Pandas DataFrame](https://www.geeksforgeeks.org/dealing-with-rows-and-columns-in-pandas-dataframe) - This tutorial covers how to access and manipulate rows and columns of DataFrames in Pandas (selecting, indexing, slicing, dropping, and so on).
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For more resources and links, see the [Wiki](https://gitlab.erc.monash.edu.au/ads1001/python-data-science-resources/-/wikis/home).