Linear Equation Prediction ML model

[jain-anshika]

Prediction of linear equation with multiple variables using linear regression machine learning model

[Kushal997-das]

@jain-anshika Explain .

[jain-anshika]

Machine Learning for Linear Equation Prediction Model:
You are tasked with developing a machine learning model that can predict linear equations based on a given dataset. The dataset consists of pairs of input variables and corresponding output values, representing different linear equations. Your goal is to train a model that can accurately predict the coefficients of a linear equation given new input values.

Requirements:

Dataset Generation:
• Generate a dataset of multiple linear equations, each represented by a pair of input variables and the corresponding output value.
• Ensure that the dataset includes a variety of linear equations with different slopes and intercepts.
• You can use a random generator or predefined equations to create the dataset.

Data Pre-processing:
• Perform any necessary pre-processing steps on the dataset, such as data normalization or standardization, to ensure better model performance.

[jain-anshika]

Please add hacktoberfest label also

[jain-anshika]

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