Data Science and Machine Learning (Lecture 4.2): The Single Neuron Linear Regression Model 

In this second half of Lecture 4 we solve the linear regression problem by modeling the problem with a single neuron and applying the gradient descent method for training the single neuron. More specifically, we discuss setting up a single neuron linear regression model, define a custom single neuron class in Python, and train this custom class using a training method implementing stochastic gradient descent. The data that we implement these notions on is the iris dataset.
Jupyter Notebook used in this Lecture:
github.com/RandyRDavila/Data_Science_and_Machine_Learning_Spring_2022/blob/main/Lecture_4/Lecture_4_2_Regression_Neuron.ipynb
#DataScience
#MachineLearning
#SupervisedMachineLearning
#SingleNeuron
#LinearRegression
#StochasticGradientDescent
#IrisDataset
#Python