jbnerd / RegresAnalyse

Implementation of various Regression Models with visualization using TensorFlow and MatPlotLib

Regression Analysis

• This repository contains the code written in Python's TensorFlow library for Linear Regression Analysis over a miniscule dummy dataset. It was written during the process of learning the TensorFlow library from scratch.

Dependencies

• Python3
• Numpy
• TensorFlow
• MatPlotLib
• Pandas

Dataset

• Find the dataset here.
• You can also find the dataset in the Dataset directory within this repository.

Description of the Dataset

• Name: Fire and Theft in Chicago
• X = fires per 1000 housing units
• Y = thefts per 1000 population within the same Zip code in the Chicago metro area
• Total number of Zip code areas: 42

Running the code

• Type in python3 Regres.py in the terminal to run the code.

Visulizing the Computational Graph

• Once you have run the code on your machine, type in tensorboard --logdir="<path_to_summaries>" in your terminal.
  • <path_to_summaries> = ./batch_training_linear if you chose the Batch Training mode.
  • <path_to_summaries> = ./online_training_linear if you chose the Online Training mode.

Example Plots