The goal is to understand the relationship between house features and how these variables affect the house price. Using more than one model, predict the price of the house using the given dataset. Please compare the accuracy of the models along with the drawbacks of each technique's assumptions before recommending the final prediction model.
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Masihsoniya/House-price-prediction
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Predicting house price
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log
linear-regression
exploratory-data-analysis
machine-learning-algorithms
supervised-learning
bayesian
ridge-regression
regression-models
normalization
elastic-net
lasso-regression
normal-distribution
skewness
correlation-analysis
kurtosis
random-forest-regression
accuracy-score
r2-score
lasso-regression-model
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