ML Fundamentals

Channel update: reflecting on why I make videos and thoughts on future videos

Text Classification Using BERT & Tensorflow | Deep Learning Tutorial 47 (Tensorflow, Keras & Python)

Gartner Hype Cycle Of Emerging Technologies 2021 Is Out

Buying a GPU for Deep Learning? Don't make this MISTAKE! #shorts

W&B Fastbook Reading Group — 12. What is a convolution, really?

Deep learning project end to end | Potato Disease Classification - 5 : Website (In React JS)

Use AUC to evaluate multiclass problems

PyTorch Community Voices | PennyLane | Tom & Josh

Building a Simple Digits Image Classification Model

SGT Working Group Aug 24, 2021 - mlctl and hydrosphere Open Source MLOps Libraries Demo

Kaggle's 30 Days Of ML (Competition Part-5): Model Blending 101

Shuffle your dataset when using cross_val_score

Introduction to Statistics | 365 Data Science Courses

Kaggle's 30 Days Of ML (Competition Part-4): Hyperparameter tuning using Optuna

What is Interpretable Machine Learning - ML Explainability - with Python LIME Shap Tutorial

Affordable Machine Learning And Advance Deep Learning Course From iNeuron

Robot Dogs: A Programmer's Best Friend

Kaggle 30 Days of ML (Day 18) - SHAP - Shapley Values - Interpretable Machine Learning - XAI

How to Monitor Machine Learning Models (Evidently AI)

Tesla AI Day Highlights | Lex Fridman

Coding Linear Trees! : Data Science Code

Is Data Visualization Important for Data Science? (A Data Scientist's Perspective)

Why do we care about cross-correlations vs convolutions | ❓ #AICoffeeBreakQuiz #Shorts

W&B Fastbook Reading Group — 11. Introduction to convolutions

Convolution vs Cross-Correlation. How most CNNs do not compute convolutions. | ❓ #Shorts

Computer Scientist Explains Machine Learning in 5 Levels of Difficulty | WIRED

How you can learn ANYTHING!

Deep learning project end to end | Potato Disease Classification - 4 : FastAPI/tf serving Backend

Deep learning project end to end | Potato Disease Classification - 3 : Model Building

Deep learning project end to end | Potato Disease Classification Using CNN - 1 : Problem Statement

Kaggle 30 Days of ML (Day 17) - Partial Dependence Plot - Interpretable Machine Learning - XAI

Kaggle 30 Days of ML (Day 16) - Feature Importance of Machine Learning with ELI5

Kaggle's 30 Days Of ML (Competition Part-3): What is Target Encoding and how does it work?

Josh Bloom — The Link Between Astronomy and ML

Four ways to examine the steps of a Pipeline

Kaggle's 30 Days Of ML (Competition Part-2): Feature Engineering (Categorical & Numerical Variables)

Object detection on an RC car with W&B and YOLOv5

Kaggle 30 Days of ML (Day 15) - Interpretable Machine Learning Use-cases

FastAPI Tutorial | FastAPI vs Flask

How to avoid Google Colab Session Runtime from Closing with JavaScript?

If You Are Losing Motivation While Learning Data Science- Hear This Story Out️‍🔥️‍🔥️‍🔥️‍🔥️‍🔥

Kaggle's 30 Days Of ML (Competition Part-1): Cross Validation & First Submission on Kaggle

Kaggle 30 Days of ML (Day 14) - XGBoost, Data Leakage - Learn Python ML in 30 Days

Kaggle 30 Days of ML (Day 13) - Scikit-Learn Pipeline, CrossValidation - Learn Python ML in 30 Days

I am really sorry about this!

Kaggle's 30 Days Of ML (Day-14 Part-2): What is Data Leakage?

Kaggle's 30 Days Of ML (Day-14 Part-1): Intro to XGBoost

Kaggle 30 Days of ML - Day 12 - Kaggle Missing Values, Encoding - Learn Python ML in 30 Days