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Use of Linear Regression model to predict price of house in Banglore - Supervised Machine learning Approach

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Name		Name	Last commit message	Last commit date
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README.md		README.md
banglore_home_prices_model.pickle		banglore_home_prices_model.pickle
bengaluru_house_prices.csv		bengaluru_house_prices.csv
columns.json		columns.json
house_prices_prediction_ML-model.ipynb		house_prices_prediction_ML-model.ipynb

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Housing-price-prediction-ML-modeling

Use of Linear Regression model to predict house price in Banglore - Supervised Machine learning Approach

Data Science Techniques :

Data load and cleaning
Outlier detection and removal
Feature engineering
Dimensionality reduction
Gridsearchcv for hyperparameter tunning
K fold cross validation

Technology and tools used in this project,

Python
Numpy and Pandas for data cleaning
Matplotlib for data visualization
Sklearn for model building
Jupyter notebook, Anaconda as IDE

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Use of Linear Regression model to predict price of house in Banglore - Supervised Machine learning Approach

linear-regression dimensionality-reduction feature-engineering hyperparameter-tuning kfold-cross-validation gridsearchcv

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