NO BROKER

Inspiration

Machine Learning and AI is everywhere in today's world. We believe in making world a better place. Hence saving people from getting fraud from anyone. Thus,providing reliable rent prices for various properties.

What it does

It is a machine learning algorithm to find the attributes on which the rent of a property depends the most and train the model in such a way that it can predict the rent of a new property accurately with minimum number of inputs from the user

How we built it

we used spyder as IDE and used several ML libraries as numpy, pandas , scikitlearn , scipy , metplotlib , seaborn etc to visualize , train and test our model .

Challenges we ran into

1.data pre-processing 2.data visualization

Accomplishments that we're proud of

1.data pre-processing 2.data visualization

What we learned

1.team work 2.data pre-processing 3.how to use sea-born lib to visualize data

What's next for NO BROKER

create a more user-friendly UI for users increase the accuracy of the model

Built With

• anaconda
• json
• machine-learning
• php
• python
• python-package-index
• spyder