Data Scientist’s Toolbox Project (JHU Coursera, Course 1)

Synthetic Data for Edge Cases

The Value of Synthetic Data

100 Estimators for a Random Forest

K-Means Clustering using Python

K-Nearest Neighbors (KNN) using Python

Hierarchical Clustering using Python

Logistic Regression using Python

Understanding Decision Trees using Python (scikit-learn)

Data Visualization with Matplotlib and Seaborn (Python)

Bank Holding Company Analysis using Python (J.P. Morgan)

Data Manipulation with Pandas (Python)

Setup and use JupyterHub/Jupyter (TLJH) on AWS EC2

Train Test Split using Python (Scikit-Learn)

Introduction to Scikit-Learn (Data Science Go Virtual October 25, 2020)

How to write a data science blog

How to ask for a Referral (Data Scientist, Data Analyst, etc)

Bagged Trees using Scikit-Learn (Python)

Install Anaconda and Jupyter on Windows (2020)

Boxplots using Matplotlib, Pandas, and Seaborn Libraries (Python)

Python Olympic Visualization Iteration 2 (Histogram Improvements)

Python Olympic Visualization Iteration 1 (Histograms, Needs serious work)

Normal Distribution and Standard Normal Table (Z-Table) Example

Python Sets and Set Theory

Differences between Python Tuples and Lists