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
Last synced: 2 months ago
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Jupyter notebooks for demonstration of data analytics using python
- Host: GitHub
- URL: https://github.com/a3darekar/analytics-notebooks
- Owner: a3darekar
- License: mit
- Created: 2019-07-18T04:10:18.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2019-08-09T15:38:45.000Z (almost 7 years ago)
- Last Synced: 2025-03-16T04:17:37.002Z (over 1 year ago)
- Topics: analytics-notebooks, data-analytics, data-science, jupyter-notebooks, python
- Language: Jupyter Notebook
- Size: 791 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
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
```