This model is built from scratch using ❤️ and Python by Faisal Jan. It predicts the price of houses based on the house sqft_living. This project taught me many machine learning and datascience concepts, such as Feature Engineering, Data cleaning, knowing the ML models(Linear Regression, Logistic Regression, SVM), and the most important how machine actually learns and how these models are built on top of Linear Algebra and Calculus.
To install this project locally on your system you need the following requirements.
- Python 3
- PIP package manager (usually pre-installed with python)
- Git (optional)
This command make a clone of the repo on your system
$ git clone https://github.com/FaisaljanBaloch/simple-linear-regression-model-for-price-prediction.git
Change your directory to the project, run
$ cd simple-linear-regression-model-for-price-prediction
To install project dependencies, run
$ pip install -r requirements.txt
To run the project
$ python setup.py
Thank You for being here, Have a good day!