Nick Stugard

Introduction to Discrete Probability Distributions and the Law of Large Numbers in Action

Nick Stugard

Introduction to Quadratics, their graphs, and the Discriminant

Nick Stugard

Accuracy, Recall, Precision, and F1 Evaluating a Confusion Matrix Explained

Nick Stugard

Selecting, Filtering, and Summarizing Data in Python with Pandas

Nick Stugard

What is AI What is Machine Learning

Nick Stugard

Matrix Math in Python using numpy

Nick Stugard

How do we use Data

Nick Stugard

Using AI to Explore Data in R

Nick Stugard

HW Help Chp 3 - Finding Fences and Outliers with Excel

Nick Stugard

How to choose the Right Machine Learning Algorithm

Nick Stugard

Correlation between Two Variables Explained

Nick Stugard

Creating a Linear Regression Model in Python

Nick Stugard

Making Language Mathematical Why ChatGPT Works

Nick Stugard

What is Statistics - Sampling and Bias

Nick Stugard

What is Statistics - Variables and Data Collection

Nick Stugard

Welcome to Online Stats at CT State

Nick Stugard

DS Lab 9 Jobs In Data with Sampling Distributions

Nick Stugard

9.2 DS - Simulations and Randomness in R

Nick Stugard

9.1 DS - Sampling

Nick Stugard

Limit Examples

Nick Stugard

Limit Laws and Theorems

Nick Stugard

Infinite Limits

Nick Stugard

Investigating Limits with Technology

Nick Stugard

Divergence and Curl

Nick Stugard

Statistics - Chapter 10 Hypothesis Testing Examples

Nick Stugard

Statistics - Chapter 10 Hypothesis Testing Concepts

Nick Stugard

Describing Regions in 2D

Nick Stugard

More Matrix Multiplication - Identities and Inverses

Nick Stugard

Statistics Chapter 8 - Sampling Distributions

Nick Stugard

DS - Merging Dataframes in R

Nick Stugard