US Crime Analysis Applied Statistics python

This Repo consist of the statistical analysis and applied frequentist and bayesian statistics to transform, manipulate and finding key aspect of crime. It is Based on only two categorical incident.. 1. murdered 2. Manslaughter by negligence

In this project, we use mostly

• numpy for numerical and mathematical operations
• pandas DataFrame Manipulation and Handling
• matplotlib Visualizing our Data
• seaborn Visualizing data in more compact form
• statsmodel Different Statistical Computing

If you don't have those libraries,you can install it by pip

pip install numpy
pip install pandas
pip install matplotlib
pip install seaborn
pip install statsmodel

To use those simply import them in your notebook

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import statsmodel.api as sm
import seaborn as sns

the project is on going..

you can follow me/hire me in linkedin