To predict land prices in different locations within Chennai, gather data on relevant inputs like location, area, and amenities. Preprocess the data to handle missing values and normalize features. Train a regression model, such as a linear regression or neural network, using the processed data. Use the trained model to predict land prices based on the specified inputs.
GET /api/items| Parameter | Type | Description |
|---|---|---|
api_key |
string |
Required. Your API key |
GET /api/items/${id}| Parameter | Type | Description |
|---|---|---|
id |
string |
Required. Id of item to fetch |
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