ML Fundamentals

Build 4 Python Automation Projects With Machine Learning

How You Should Split Your Datasets in Machine Learning

Complete Implementation Of Perceptron In Deep Learning Using Python From Scratch

Learning to Ponder: Memory in Deep Neural Networks - #528

Feast Feature Store Deep Dive // Felix Wang // MLOps Meetup #81

What you should do during a Data Science Internship

Implementation Of Perceptron In Deep Learning Using Python From Scratch- Part 1- Ft: Sunny

#73 Scaling AI Adoption in Financial Services (with Shameek Kundu)

PyTorch Book Reading - 8. U-net, Image Segmentation and Image Augmentations in PyTorch

How to code neural networks without math*

Build a Deep Facial Recognition App // Part 7 - Real Time Predictions with OpenCV // #Python

Accelerating AI Innovation by Optimizing Infrastructure. With Dr. Muthian Sivathanu

Solving Kaggle with PyCaret AutoML - Automated Machine Learning Tutorial

Ensemble multiple models using VotingClassifer or VotingRegressor

Build a Deep Facial Recognition App // Part 6 - Making Facial Recognition Predictions // #Python

How mlctl Helps Intuit's Workflow // Srivathsan Canchi // Coffee Sessions # 50 short clip

Newton’s fractal (which Newton knew nothing about)

Create feature interactions using PolynomialFeatures

PyTorch Book Reading - 7. Training a Tumor classifier

How Al is Changing Marketing and SEO (And How to Use it In Your Business)

Machine Learning Tutorial Python - 19: Principal Component Analysis (PCA) with Python Code

UIUC's Online Master's in Computer Science MCS & MCS-DS Degrees Webinar

Grokking: Generalization beyond Overfitting on small algorithmic datasets (Paper Explained)

1. Introduction and Matrix Multiplication

Introducing the first Women in Machine Learning Symposium

Rebecca Fiebrink - Creative AI Conversations

TensorFlow for Computer Vision Course - Full Python Tutorial for Beginners

Machine Learning Model Deployment with Python (Streamlit + MLflow) | Part 2/2

What is Hypothesis Testing ? Math, Statistics for data science, machine learning

TensorFlow.js Community "Show & Tell" #6

Machine Learning Model Deployment with Python (Streamlit + MLflow) | Part 1/2

Jeffrey Shainline: Neuromorphic Computing and Optoelectronic Intelligence | Lex Fridman Podcast #225

Talks S2E7 (Konrad Banachewicz): Time Series Analysis - Vintage Toolkit For Modern Times

Data Selection for Data-Centric AI: Data Quality Over Quantity // Cody Coleman //Coffee Sessions#59

10 Types of Features your Location ML Model is Missing // Anne Cocos // Coffee Sessions #58

Speed up GridSearchCV using parallel processing

Use OrdinalEncoder instead of OneHotEncoder with tree-based models

Three Categories of SGT // Alex Chung // Coffee #50 short clip

PyTorch Book Reading - 6. Working CT Scan Data in PyTorch, Classifying Tumours.

Perform Easy EDA And Generate Python Using Mito

Chai Time Kaggle Talks with Andrada Olteanu - EDA Grandmastery

Build a Deep Facial Recognition App // Part 5 - Training a Siamese Neural Network // #Python

Detecting model misbehavior with W&B

Drop the first category from binary features (only) with OneHotEncoder

Managing Outcomes Generated by Data Scientists // Stefan Krawczyk // Coffee Sessions #49 short clip

Importance of Platform // Julien Chaumond // Coffee Sessions #48 short clip

Deep learning project end to end | Potato Disease Classification - 8 : Mobile App in React Native

Time Series Forecasting Made Easy Using Dart Library - Perform Multivariate Forecasting In No Time