MaverickPredictor X

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Inspiration

I was inspired by the amazing capabilities provided by Machine learning to predict accurate results. Thus, I wanted to implement this capability in my project for solving the AL/ML problem statement

What it does

MaverickPredictor X uses a Naive Bayes classification algorithm to accurately predict if an applicant will fit a companies culture

How I built it

I used python for this project, with numpy and pandas modules for the ML model

Challenges I ran into

Collecting the data for the ML program

Accomplishments that I'm proud of

I made a working ML classification model in 5 hours

What I learned

Data collection is harder than making the model itself

What's next for MaverickPredictor X

A Graphic User Interface for the program which will make it look better

Built With

• numpy
• pandas
• python
• sklearn