ML Fundamentals

Non Max Suppression Explained and PyTorch Implementation

TensorFlow Tutorial 07 - Functional API + Multi-output Project

6.3 Types of decision trees (L06: Decision Trees)

Auto-Tuning Hyperparameters with Optuna and PyTorch

"AI & Machine Learning" Cybersecurity Conversation

Creating an Inclusive Learning Experience

Backwards Design

Intersection over Union Explained and PyTorch Implementation

Best Multi-Armed Bandit Strategy? (feat: UCB Method)

TensorFlow Tutorial 06 - Save & Load Models

Complete Roadmap To Follow To Prepare Machine Learning With All Videos And Materials

Getting started with Jetson Nano 2GB Developer Kit

What skills should you learn outside of machine learning? | Ask me anything! (live)

6.2 Recursive algorithms & Big-O (L06: Decision Trees)

Understanding Graph Neural Networks | Part 3/3 - Pytorch Geometric and Molecule Data using RDKit

Tutorial 1-Machine Learning Model Retraining Approach-Incremental And Continuous Model Training 🔥🔥🔥🔥

MLOps #36 Moving Deep Learning from Research to Prod Using DeterminedAI & Kubeflow // David Hershey

Most underrated topics regarding deploying ML models in production?

Protected Attributes and 'Fairness through Unawareness,' Exploring Fairness in Machine Learning

USAID Appropriate Use Framework, Exploring Fairness in Machine Learning

Can social impact survive the crisis?

The Knapsack Problem & Genetic Algorithms - Computerphile

Announcing Discord Server For Codebasics

My GDE journey - Akshay Bahadur

Managing ML Pipelines in TensorFlow Extended with Hannes Hapke

W&B Deep Learning Salon - Sara Hooker & Hannes Hapke

Moran's I : Data Science Concepts

Learn Deep Learning from NVIDIA

Fine-Tuning MobileNet on Custom Data Set with TensorFlow's Keras API

Summarize News Articles with Machine Learning in Python

Pedagogy Principles

6.1 Intro to Decision Trees (L06: Decision Trees)

Introduction to Object Detection in Deep Learning

TensorFlow Tutorial 05 - Convolutional Neural Network (CNN)

Tutorial 2- Feature Selection-How To Drop Features Using Pearson Correlation

Solar Lighting Example, Exploring Fairness in Machine Learning

Fairness Criteria, Exploring Fairness in Machine Learning

Complete Road Map To Prepare For Deep Learning🔥🔥🔥🔥

TensorFlow Tutorial 04 - Linear Regression - Full Project Walkthrough

5.6 Scikit-learn Pipelines (L05: Machine Learning with Scikit-Learn)

5.4 Intro to Scikit-learn (L05: Machine Learning with Scikit-Learn)

TensorFlow Tutorial 03 - First Neural Network (Training, Evaluation & Prediction)

Tutorial 1- Feature Selection-How To Drop Constant Features Using Variance Threshold

Webinar: Bachelor of Applied Arts and Sciences (B.A.A.S.) Advising Overview

MLOps Meetup #35 // Bring Your On-Prem ML Use Cases to Production on Google Cloud using Kubeflow

5.3 Object Oriented Programming & Python Classes (L05: Machine Learning with Scikit-Learn)

5.2 Basic data handling (L05: Machine Learning with Scikit-Learn)

5.1 Reading a Dataset from a Tabular Text File (L05: Machine Learning with Scikit-Learn)