19:38

Outlier Detection Using Prophet Medium Term Forecasting Model

13:42

Benford's Law for Detecting Financial Fraud

15:38

Outlier Detection Models

43:24

RNN for Time Series Forecasts

48:19

CNN for Sentiment

17:46

Web Analytics: Twitter

24:46

Web Analytics: YouTube Data

25:33

Convolution Neural Network (CNN) for Image Classification

22:13

MLP Regressor

20:41

MLP Classifier

21:45

SARIMA

20:54

ARIMA

13:41

Layers of Neural Networks

13:05

Designing a Neural Network

13:02

Intro to Neural Networks

12:37

Reinforced Learning: SARSA

16:32

Reinforced Learning: Q Learning

11:10

Reinforced Learning: Brute Force

12:56

Intro to Reinforced Learning

08:53

Reality Mining: Bubble Map

10:43

Reality Mining: Create a Route

12:53

Reality Mining: Location Tracking

06:58

Reality Mining

23:24

Using Plotly and Dash to Build a Dashboard

06:32

Gauge Charts in Python

10:22

Creating Sankey Diagrams in Python

06:36

Introduction to Dashboards

23:36

How to tell stories with data

18:11

Lasso Regression

20:15

Why You Need Tell Stories with Data

20:18

Ridge Regression

13:58

Linear Regression in Python

22:56

Poisson Regression in Python

28:21

Logit Regression in Python

13:42

Organizational Hierarchy

14:52

Creating Organizational Charts in Python

15:53

Network Graphs - Measuring Centrality

07:49

Network Theory - Mapping the Spread of Information or Infection

14:35

Network Graphs

15:51

Network (Graph) Theory

17:22

Sentiment Analysis without Neural Networks

05:49

Webscraping Static v Dynamic Websites

21:19

Webscraping

03:16

Correlogram

26:12

Recommendation Engine - Collaborative Filtering

12:09

Denoise Images using KNN

13:05

Image Recognition Using KNN

07:15

Text Mining in Python - Word Tree

09:13

Text Mining in Python - Word Search

16:25

Text Mining in Python - Zipfs law

22:39

Text Mining in Python - Ngrams

12:56

Text Mining in Python - Count Vectorizer

13:03

Text Mining in Python - Open Ended Survey Questions

13:54

Text Mining in Python - Word Cloud

09:27

Text Mining in Python - Word Count

15:44

Text Mining in Python - Tokenize

13:03

Text Mining in Python - Import and Clean

15:19

Text Mining Introduction

02:10

Data Sources

11:42

Queuing Models - Single Server with Constant Service Time and Multiple Server with No Waitlist