Create a machine learning model of a real-life process or object : Implementing a Simple Linear Regression Algorithm

The video tutorial covers the implementation of a simple linear regression model using TensorFlow. It begins with setting up the environment and importing necessary libraries like pandas. The tutorial then proceeds to load and preprocess data from a Kaggle dataset, including data cleaning and encoding categorical variables. The data is split into training and testing sets, and a linear regression model is implemented. The model's performance is evaluated, highlighting areas for improvement. Future videos will explore more advanced techniques and testing.

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