Supervised Learning - Prediction Week 3 Challenge

1A- Gradient descent is an optimization technique that can find the minimum of an objective function. It is a greedy technique that finds the optimal solution by taking a step in the direction of the maximum rate of decrease of the function. By contrast, Gradient Ascent is a close counterpart that…

2A-Expected value is the average value of a random variable over a large number of experiments . A random variable maps numeric values to each possible outcome in an experiment.The significance of the mean of a probability distribution is it gives the expected value of a discrete random variable. 3A-High…

1A-The only differences in the way the sample variance is calculated is that the sample mean is used, the deviations is summed up over the sample, and the sum is divided by n-1. As data can be of two types, grouped and ungrouped, hence, there are two formulas that are available to calculate the sample variance. Furthermore,…

project 2

project 1

project 2

PROJECT 1

project 2

project 1

project

project =1

project 2

project 1