Crated an end-to-end, machine learning algorithm of Logistic-regression that accurately predicts the HOUSE PRICE with 71% accuracy.
It is a Kaggle competition named House price prediction-Advanced regression techinques
Here I have created a simple model to predict the house prices.
House_price.ipynb is the main model House_price_test.ipynb is the model used for feature engineering for test dataset
Datasets used:
- test.csv - test dataset
- train.csv - training dataset
- test_df.csv - test dataset after exploratory data analysis
Model is created using Jupyter notebook .