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https://github.com/a3darekar/analytics-notebooks

Jupyter notebooks for demonstration of data analytics using python
https://github.com/a3darekar/analytics-notebooks

analytics-notebooks data-analytics data-science jupyter-notebooks python

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Jupyter notebooks for demonstration of data analytics using python

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README

          

# analytics-notebooks
Jupyter notebooks for demonstration of data analytics using python

This is where I will be posting everything I learn about data analytics and data science in the form of [Jupyter Notebooks](https://ipython.org/notebook.html)

Please watch or star the repository to follow along with me if you are interested in learning data science with me, as I try to upload one or two notebooks every week.

Please provide feedback in case suggestions or issues on my [email](mailto:darekar.amey@gmail.com).

### Index:

1. [Basics](https://github.com/knowhere1998/analytics-notebooks/tree/master/1%20-%20basics)
1.1 Learn basics of python libraries - pandas and numpy
1.2 Performing statistical analysis on data to find statistical measures like central tendencies, percentiles.
1.3 Probabilistic analysis like Probability distribution functions, Corelation, Covariation.

2. [Visualization](https://github.com/knowhere1998/analytics-notebooks/tree/master/2%20-%20visualizations)
2.1 MatplotLib Demonstration with examples of Line Graph, Pie Chart, Bar Graph, Histogram, Boxplot.
2.2 Histogram and Boxplot - Use of iris database to visualize histogram and boxplot using pandas, numpy and MatplotLib

3. [Predictive Models using Regression](https://github.com/knowhere1998/analytics-notebooks/tree/master/3%20-%20regression)
3.1 Linear Regression
3.2 Polynomial Regression

### How to get started:

- Clone the repository to your system

```
git clone https://github.com/knowhere1998/analytics-notebooks/

```

- Create a [Virtual environment](https://realpython.com/python-virtual-environments-a-primer/)(optional but recommended)

for Python 2:
```

$ virtualenv env
```
for Python 3

```

$ python3 -m venv env

```

- activate your virtual environment.

```

source env/bin/activate

```

You can use [anaconda/conda](https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-with-commands) to initialize virtual environment instead of forementioned steps

- install all requirements using pip

```

pip install -r requirements.txt

```

- run jupyeter server

```
jupyter notebook

```