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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