Unverified Commit fbac7f10 authored by Simon Bowly's avatar Simon Bowly
Browse files

Update readme with notebook links.

parent df89133e
[1] Jupyter Notebook for Beginners: A Tutorial
This tutorial covers some basic essentials of Python, Jupyter and Pandas library.
Link: https://www.dataquest.io/blog/jupyter-notebook-tutorial/
[2] Dealing with Rows and Columns in Pandas DataFrame
It is important to know how to access and manipulate Rows and Columns in Pandas.
Link: https://www.geeksforgeeks.org/dealing-with-rows-and-columns-in-pandas-dataframe/
\ No newline at end of file
# ADS1001 PyData Resources
# ADS1001/2 PyData Resources
Some useful tutorials to get started with Jupyter/Pandas/etc
## Course Materials: Jupyter Notebooks
* [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.
* [Basic Python Concepts](03-BeginnerToAdvanced/BeginnerToAdvanced.ipynb)
* [Pandas Basics: Reading, Cleaning and Exploring Data](01-Incoming-survey/Reading-Cleaning-Exploring.ipynb)
* [Pandas: Handling Timeseries Data](02-Pandas-Timeseries)
* [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)
* [Regression Models](05-LinearRegression)
* [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
* [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.
* [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).
For more resources and links, see the [Wiki](https://gitlab.erc.monash.edu.au/ads1001/python-data-science-resources/-/wikis/home).
## Example Notebooks - Incoming Survey
* [Reading, Cleaning, and Exploring Data](01-Incoming-Survey/Reading-Cleaning-Exploring.ipynb)
* [Working with Time Series Data](02-Pandas-Timeseries/Melbourne-Pedestrians.ipynb)
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment