📐 ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

ML Fundamentals

Tutorial 48- Naive Bayes' Classifier Indepth Intuition- Machine Learning

Krish Naik Beginner 5y ago

ML Fundamentals

Tutorial 47- Bayes' Theorem| Conditional Probability- Machine Learning

Krish Naik Beginner 5y ago

ML Fundamentals

Solving Kaggle Credit Card Fraud Detection Using Pycaret Library- Data Science

Krish Naik Beginner 5y ago

ML Fundamentals

Sharing My Experience- How Teaching Has Improved My Data Science Skills

Krish Naik Intermediate 5y ago

ML Fundamentals

Automate LifeCycle Of Data Science Projects By Using This Open Source Library

Krish Naik Beginner 5y ago

ML Fundamentals

Teachable Machine By Google- Train Your Model With Ease

Krish Naik Beginner 5y ago

ML Fundamentals

How to Build A Data Science Portfolio That Can Get You Jobs?

Krish Naik Intermediate 5y ago

ML Fundamentals

Live Q&A Data Science

Krish Naik Intermediate 5y ago

ML Fundamentals

How Should You Explain Your Data Science Projects To Recruiters?- Must Watch For Everyone

Krish Naik Intermediate 5y ago

ML Fundamentals

Feature Engineering-How to Transform Data to Better Fit The Gaussian Distribution-Data Science

Krish Naik Beginner 6y ago

ML Fundamentals

My Recording Gears For Data Science Videos

Krish Naik Intermediate 6y ago

ML Fundamentals

Why Domain Knowledge Is Important For Data Scientist?

Krish Naik Intermediate 6y ago

ML Fundamentals

How Do I Learn Complex Topics In Machine Learning And Deep Learning?

Krish Naik Beginner 6y ago

ML Fundamentals

Utilize This Time For Learning Skills And Improving Productivity- Saturday Motivation

Krish Naik Beginner 6y ago

ML Fundamentals

Friday Live Q&A- Data Science

Krish Naik Beginner 6y ago

ML Fundamentals

End to End Chatbot with Deployment And Custom Service Integration

Krish Naik Intermediate 6y ago

ML Fundamentals

Live Q&A

Krish Naik Beginner 6y ago

ML Fundamentals

Live Q&A Showing My Workspace

Krish Naik Intermediate 6y ago

ML Fundamentals

I have Reordered My Complete Machine Learning And Deep Learning Playlist- Complete it in 21 days

Krish Naik Beginner 6y ago

ML Fundamentals

Interview Questions On Statistics - Data Science Interviews

Krish Naik Beginner 6y ago

ML Fundamentals

Spearman's rank correlation coefficient- Statistics

Krish Naik Intermediate 6y ago

ML Fundamentals

Tutorial 34- LSTM Recurrent Neural Network In Depth Intuition

Krish Naik Beginner 6y ago

ML Fundamentals

Time Management- How Do I Efficiently Manage My Time? My Experience- Motivation

Krish Naik Intermediate 6y ago

ML Fundamentals

Time Complexity Of Machine Learning Models- Interview Questions- Data Science

Krish Naik Beginner 6y ago

ML Fundamentals

Saturday Live Q&A

Krish Naik Intermediate 6y ago

ML Fundamentals

What is Social Distancing?

Krish Naik Beginner 6y ago

ML Fundamentals

All About Membership In Krish's Channel

Krish Naik Intermediate 6y ago

ML Fundamentals

How To Follow My Channel Playlist To Learn Data Science Efficiently

Krish Naik Beginner 6y ago

ML Fundamentals

Tutorial 33- Installing Cuda Toolkit And cuDNN For Deep Learning

Krish Naik Beginner 6y ago

ML Fundamentals

Web Scraping Reviews And Product Information From Flipkart- Showcasing Subscriber's Work

Krish Naik Beginner 6y ago

ML Fundamentals

Amazon Data Science Interview- Part 1 & Internship Opportunities

Krish Naik Beginner 6y ago

ML Fundamentals

Lecture 4- Bubble Sort -Competitive Programming Problem 2

Krish Naik Intermediate 6y ago

ML Fundamentals

Visibility Climate Prediction- You Can Add This In Your Resume

Krish Naik Intermediate 6y ago

ML Fundamentals

Lecture 3- Competitive Programming Problem 1 Solution- Happy Holi!!

Krish Naik Intermediate 6y ago

ML Fundamentals

My Laptop Lenovo Legion Y 540 Unboxing For Deep Learning! Important Message At The Last

Krish Naik Beginner 6y ago

ML Fundamentals

Lecture 2- Competitive Programming- Problem Statement 1

Krish Naik Intermediate 6y ago

ML Fundamentals

Lecture 1- Data Structures And Analysis Of Algorithms

Krish Naik Intermediate 6y ago

ML Fundamentals

Live Q&A Data Science

Krish Naik Intermediate 6y ago

ML Fundamentals

Tutorial 41-Performance Metrics(ROC,AUC Curve) For Classification Problem In Machine Learning Part 2

Krish Naik Beginner 6y ago

ML Fundamentals

Custom Ensemble Approach To Solve Machine Learning Problems

Krish Naik Beginner 6y ago

ML Fundamentals

Why And How Did I Get Into Data Science? Sharing My Data Science Experience In 20 min

Krish Naik Intermediate 6y ago

ML Fundamentals

Follow These Steps To Be Successful In IT Industries

Krish Naik Intermediate 6y ago

ML Fundamentals

Live Q&A Data Science

Krish Naik Intermediate 6y ago

ML Fundamentals

Sales Chat Bot Project Using Rasa NLU| Data Science

Krish Naik Intermediate 6y ago

ML Fundamentals

Resume Discussion for Data Science Role

Krish Naik Intermediate 6y ago

ML Fundamentals

Be A Guiding Star- Never Give Up|Saturday Motivation

Krish Naik Intermediate 6y ago

ML Fundamentals

Create Basic Conversational AI Chatbot using RASA NLU

Krish Naik Intermediate 6y ago

ML Fundamentals

How To Learn Maths For Data Science By Self Study And For Free

Krish Naik Beginner 6y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

Introduction Course to Autoencoders, VAEs, and GANs

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Self-paced

AI for Medical Diagnosis

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Self-paced

Debug ML Code: Fix, Trace & Evaluate

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📚 Coursera Course ↗

Self-paced

Fraud Detection on Financial Transactions with Machine Learning on Google Cloud

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Self-paced

Programming Generative AI: Unit 1

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IA Para Todos (Português)

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Supervised Text Classification for Marketing Analytics

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Sequences, Time Series and Prediction

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Machine Learning and its Applications

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Physics of Geometrical and Physical Optics

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Machine Learning and AI Applications in Healthcare

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📚 Coursera Course ↗

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Tools for Data Science

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📚 Coursera Course ↗

Self-paced

Análisis exploratorio de datos con Python y Pandas

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📚 Coursera Course ↗

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Optimize TensorFlow Models For Deployment with TensorRT

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📚 Coursera Course ↗

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Interpretable Machine Learning Applications: Part 2

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Specialized Models: Time Series and Survival Analysis

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📚 Coursera Course ↗

Self-paced

Genomic Data Science and Clustering (Bioinformatics V)

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📚 Coursera Course ↗

Self-paced

Intro to TensorFlow em Português Brasileiro

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