ML Fundamentals

Programming with Proofs - Computerphile

Talks S2E4 (Lavanya Shukla): Reproducible machine learning at scale

What is Cloud Computing In Layman Terms

Deploy Weights & Biases On-prem with Terraform Cloud

Splitting Datasets in Python With scikit-learn and train_test_split()

W&B Fastbook Reading Group — 13. Our first CNNs from scratch

This AI Helps Making A Music Video! 💃

How Would I Learn Data Science If I Want To Start Over?

Add feature selection to a Pipeline

Building and deploying your first machine learning app in Python using Gradio

Reading the first 42 pages of my first novel (Charlie Walks) out loud

Taking the leap to pursue a passion in Machine Learning with Leigh Johnson #IamaGDE

Kaggle's 30 Days Of ML (Competition Part-7): What are public and private leaderboard?

Approximate Nearest Neighbors : Data Science Concepts

Machine Learning Course for Beginners

Intelligent Telegram AI Classifies Images in Python

Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI | Lex Fridman Podcast #215

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)

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

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

Introduction to Statistics | 365 Data Science Courses

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

Robot Dogs: A Programmer's Best Friend

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

Tesla AI Day Highlights | Lex Fridman

Btech Degree In Data Science In Collaboration With KIET Group Of Institution And iNeuron

Prerequisites To Apply For Data Scientist And Data Analyst Role Internship In iNeuron

PyTorch Book Reading - 1. PyTorch basics, Tensors & NNs in PyTorch

Step By Step Process In EDA And Feature Engineering In Data Science Projects

Gartner Hype Cycle Of Emerging Technologies 2021 Is Out

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

Kaggle's 30 Days Of ML (Competition Part-6): Model Stacking

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

Work Is More Important Than Role- Focus More On The Work⭐⭐⭐⭐

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

Shuffle your dataset when using cross_val_score

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

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

Affordable Machine Learning And Advance Deep Learning Course From iNeuron

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

Clean, Analyze, Visualize And Perform EDA With Klib Library In No Time ️‍🔥️‍🔥️‍🔥️‍🔥

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

How to Monitor Machine Learning Models (Evidently AI)