sonaliramji / Animation-of-Linear-Regression-Model-with-Tensorflow

Utilizing Tensorflow's animation capabilities to visualize a Linear Regression model built for predicting House Prices.

Animation of Linear Regression Model with Tensorflow

In this project, we utilize Tensorflow's animation capabilities to visualize a Linear Regression model built for predicting House Prices.

As outlined in Jerry Kurata's wonderful course from Pluralsight, Training a Model with TensorFlow has two prime aspects:

• Concept
• Implementation

We achieve the Conceptualization phase by following these steps:

• Preparation of the Data
• Inference
• Loss Measurement
• Optimizer to Minimize Loss

The corresponding Implementation steps followed are:

• Generation house size and price data
• Defining inference as : Price = (sizeFactor * size) + priceOffset
• Using Mean Square Error for loss measurement
• using Gradient Descent Optimizer

Python Libraries and functions used include:

• tensorflow, numpy, math, matplotlib.pyplot, matplotlib.animation, numpy.random, plt.plot, plt.xlabel, plt.ylabel, plt.show
• matplotlib.animation used for animation of the plot to watch fitting of the line IN ACTION!