https://github.com/shibasishb2/applied-statistics-project

This project uses Plotting distribution, Visualization and Hypothesis Testing to validate statistical evidence and leverage information to make effective decisions.
https://github.com/shibasishb2/applied-statistics-project

data-visualization exploratory-data-analysis hypothesis-testing python statistical-inference

Last synced: about 2 months ago
JSON representation

This project uses Plotting distribution, Visualization and Hypothesis Testing to validate statistical evidence and leverage information to make effective decisions.

• Host: GitHub
• URL: https://github.com/shibasishb2/applied-statistics-project
• Owner: shibasishb2
• Created: 2024-03-10T14:43:09.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-07-29T13:14:11.000Z (5 months ago)
• Last Synced: 2024-07-29T16:46:13.053Z (5 months ago)
• Topics: data-visualization, exploratory-data-analysis, hypothesis-testing, python, statistical-inference
• Language: Jupyter Notebook
• Homepage:
• Size: 3.01 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Applied-Statistics-Project

This project uses Plotting distribution, Visualization and Hypothesis Testing to validate statistical evidence and leverage information to make effective decisions 

* Part 1 - Answering Industry Problems through Statistical inferences. 

* Part 2 - Analyze past tournament information to make informative investment decisions. 

* Part 3 - Analyzing the status of various startups that participated in the Startup Battlefield which is the world’s pre-eminent startup competition.

# Skills & Tools Covered

* EDA

* Data Visualization

* Statistical Inference

* Hypothesis Testing

* Python