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Machine learning with Pats @UCruY8ap0vfgq2CmgOCBSPRw@youtube.com

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Welcome to 'Machine Learning with Pats,' where we embark on

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Simulating Mechanics using Large Language Models (GPTs) : A Guide to Virtual Prototyping

Developing a large language model (GPT) to optimize mechanical design

Robot & Machine Learning: Supervised vs. Unsupervised Fruit Recognition

Concepts of training and testing data using scenarios like teaching a robot to recognize fruits

What is feature extraction? Pre requisite for lab 3: To extract features & establish training data

Lab 3: To extract features & establish training data in Python (Condition monitoring of an oil pump)

What is Triplex Hydraulic Pump? Pre requisite for lab 2: Acquire & visualize the dataset in Python

What is Condition Monitoring? Pre requisite for lab 2: Acquire & visualize the dataset in Python

Lab 2: Acquire, visualize & analyze the dataset in Python (Condition monitoring of a hydraulic pump)

Numerical problem statments on Principal Component Analysis: 8 Applications from Mechanical Domain

Scope of Mechanical Engineers in Industrial Analytics using AIML and Data Science

ML in Operations Engineers

Difference between Digital Twin & Simulation Approach

Some Digital Twin Projects for Mechanical Engineering Students

Build a digital twin of machines: A step by step procedure for beginners in 3 mins

OpenAI's Sora: Future of video creation (Create realistic & imaginative scenes via text instruction)

Machine Learning in Autonomous Vehicles: Overview and Career Opportunities

Autonomous Vehicles: V2X Communication (Vehicle-to-Everything) using Machine Learning

Autonomous Vehicles: Object Detection and Recognition with Machine Learning

Autonomous Vehicles: Machine Learning for Behavior Prediction of Other Road Users

Autonomous Vehicles: Machine Learning for Path Adaptive Cruise Control and Collision Avoidance

Autonomous Vehicles: Machine Learning for Path Planning & Decision Making

Skewness & Kurtosis as statistical features in Machine Fault Diagnosis using Machine Learning

Decoding Mean, Mode, Median The 3M's of statistical features in Machine Learning

Understand Statistical Features in Machine Learning

RoboTalk: Learning Styles (Supervised, Unsupervised & Reinforcement) Unplugged Over a Popcorn Party!

Approaches to ML - Supervised, Unsupervised & Reinforcement learning

Quiz based on session Fun & Fumbles: Overfitting in Machine Learning Models! 🧠📝🤔

Adorable puppy could be mistaken for a cupcake? Model overfitting in ML : Fun & Fumbles 🎉🤪

Model overfitting in ML (Belly or Donuts?) : Fun & Fumbles 🎉🤪

Model overfitting in ML (Sleeping Bed Overfitting) : Fun & Fumbles 🎉🤪

🚀 Unraveling my channel 🚀 Fun & Fumbles: Overfitting in Machine Learning Models

Introducing my new channel "Machine learning with Pats"