18:49

Popular Financial Momentum Strategies in Python | MACD | RSI | Stochastic Oscillator | ROC

14:22

Question Answering | NLP | QA | Tranformer | Natural Language Processing | Python | Theory | Code

15:18

Understanding and Applying BERT | Bidirectional Encoder Representations from Transformers | NLP | Py

12:58

Transformers EXPLAINED! Neural Networks | | Encoder | Decoder | Attention

11:24

How to USE Named Entity Recognition (NER) Models | NLP | Text Categorization | SpaCy

12:30

NLP Text Cleaning and Preprocessing | Tokenization | Lemmatization | Sententizer | Paragraphizer

17:47

BEGINNERS Guide HOW to Bulk Mint NFTs on Rarible and Opensea | ERC 1155 | MetaMask | Rinkeby | Remix

01:13

A Machine Learns to Paint Without Painting (Caught in 4k)

13:02

Publish and Distribute Python Packages on PyPi | pip | setup | versioneer | manifest | wheel | toml

09:26

Road to Hypothetical Millionaire Status: Defense Companies | DCF | Finance | Industry | Evaluation

05:05

Argparse in 5 minutes | All You Need To Know |Run scripts on CLI | Python | Production

10:01

How to Create Artwork with a Computer | GANs | Google Colab GPU | Python | Walkthrough

11:14

How To Build A Website | Github Pages | Jekyll | Template

14:32

Deep Q Networks | Q Learning | Reinforcement Learning | Epsilon-Greedy Policy | Python | AI Gym

26:23

Like Dislike Count DONE | Cron Job in Production | AWS Lambda | AWS EventBridge | AWS EC2 | AWS SSM

08:04

Road to Hypothetical Millionaire Status: The Beginning

14:32

Reinforcement Learning | Customized AI Gym Setup

10:08

Completing the Dislike Counter for ALL my YouTube Videos!

18:40

Automating the Display of Dislikes BACK on my Channel

15:37

Quant Strategy: Arbitrage Trading Algorithm (Cross-Exchange)

10:15

What is a Quant? What do Quants do? Breaking down Roles in the Quant Industry!

07:47

Beating the Chrome Dinosaur Game with AI !!!

17:34

Principal Component Regression in R

15:21

Teaching AI to beat the Dinosaur Game | Python | Computer Vision | Canny Edge Detection

17:33

AI vs Chrome Dinosaur Game | Computer Vision | FPS | Data Engineering | Screenshots | Live Coding

12:54

Absolute Paths in Python | Absolute Imports | Modularization | Live Coding | Parametrization

17:27

Logging in Python | Production | Live Code Demonstration | Logging to Files | Levels | Formatting

21:20

Extracting Text from Images | Optical Character Recognition | OCR

07:24

EVERY Data Scientist NEEDS to know what a Machine Learning Lifecycle is!

10:40

Behavioral-Technical Data Science Interview | College Level Questions

10:46

Understanding and Applying Naive Bayes in R

20:13

Basics of Regex (Regular Expressions)

13:16

Understanding and Applying XGBoost Regression Trees in R

17:46

Understanding and Applying XGBoost Classification Trees in R

08:49

Evaluating Classification and Regression Machine Learning Models

04:58

Electoral College Progression of the USA

21:22

Advance Your Visualizations in R

13:22

Popular Methods to Cleaning Data in Python | Pandas

19:09

Data Wrangling and Munging in R

13:52

Building a Recommendation System in Python

16:38

NLP Sentiment Analysis in Python

12:51

The Makings of a Data Scientist

12:00

Data Science vs Data Engineer vs Data Analyst Roles Explained

15:00

Quant Strategy: Pairs Trading Algorithm (Mean Reversion)

16:52

Machine Learning Engineer: Deploying a Machine Learning Model

17:45

Sampling Data with SMOTE, Tomek Links, and Nearmiss in R

19:39

Bayesian Regression in R

13:32

Identifying Potential Fraud with Benford's Law in R

19:02

Dealing with MISSING Data! Data Imputation in R (Mean, Median, MICE!)

14:57

ANOVA and MANOVA Analysis in R

14:56

Understanding and Applying Vector Machines in R (SVM, LDA, QDA)

14:38

Understanding and Applying Factor Analysis in R

14:46

Ensemble Method: Boosting (Hypothesis Boosting)

13:14

Ensemble Method: Stacking (Stacked Generalization)

16:11

Ensemble Method: Bagging (Bootstrap aggregating)

14:05

[HYPER THREADING] MAXIMIZING CPU UTILIZATION in R!

12:20

Applying and Understanding K-Nearest Neighbors (KNN) in R

11:53

Understanding and Applying Autoencoders in Python!

08:00

Saving and Loading Machine Learning Models (Transfer Learning!)

24:00

[LSTM] Applying and Understanding Long Short-term Memory in Python