Using Machine Learning techniques to predict if a startup will succeed.

With startup funding reaching an all time high in 2021, here we are going to use machine learning techniques to predict if a startup will be successful based on several financial and market based attributes.

The technologies used through this project are Jupyter Notebook, Python and its libraries Pandas, Scikit Learn and Streamlit. The…

--

--

--

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Hypothesis Testing

Controlling Scientific notation in graphs — Python.

Two-Stage Least Squares For A/B Tests

Sample Hand-Geometry Biometric Identification System

Patent Landscape Focused on Noninvasive Pulse Oximetry

What is the Open Data Ecosystem and Why it’s Here To Stay

A Policy Of Privacy

SARIMA: Forecasting seasonal data with Python and R

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Conor Reilly

Conor Reilly

More from Medium

How to tune a Random Forest model

A very simple introduction to Regression with XGBoost

An introduction to Supervised Learning

two people climbing a snowy mountain, shot from a distance on a sunny day

Step By Step Process In EDA And Feature Engineering