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

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.

Index:

1. Basics
   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
   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
   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(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 to initialize virtual environment instead of forementioned steps

• install all requirements using pip

pip install -r requirements.txt

• run jupyeter server

jupyter notebook