GitHub / nirdesh17 / House-Price-Prediction
This project demonstrates the application of machine learning techniques to predict house prices based on various features. By analyzing the dataset, preprocessing the data, and selecting an appropriate model, we were able to achieve a high level of accuracy in predicting house prices. The trained model can be further refined and deployed.
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PURL: pkg:github/nirdesh17/House-Price-Prediction
Stars: 3
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 713 KB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Topics: ai, ai-models, artificial-intelligence, data-analysis, data-visualization, deep-learning, kaggle, kaggle-competition, kaggle-dataset, machine-learning, ml, ml-models, nltk, numpy, pandas, python, tensorflow