Krish Naik Courses

FAANG Interview DSA Series - Heap Sort, Binary Tree, Min Heap and Max Heap Tree and Interview Questions

Comprehensive guide to heap sort, binary trees, and min/max heaps, with practical implementations and interview question solutions for FAANG-level coding challenges.

• YouTube
• 2 hours 30 minutes
• On-Demand
• Free Video

FAANG DSA Series - Discussing Sorting Algorithms - Selection, Bubble and Insertion Sort - Ft Priya Bhatia

Comprehensive exploration of sorting algorithms including selection, bubble, and insertion sorts, covering implementation, stability, and in-place vs. out-of-place techniques.

• YouTube
• 1 hour 56 minutes
• On-Demand
• Free Video

End to End Machine Learning Project Implementation with Dockers, GitHub Actions and Deployment

Comprehensive guide to implementing a machine learning project, covering data analysis, model training, web application development, and deployment using Docker and GitHub Actions.

• YouTube
• 2 hours 45 minutes
• On-Demand
• Free Video

Discussing All Search Algorithms With Interview Based Questions

Comprehensive exploration of search algorithms, including linear, binary, and ternary search, with implementations and interview problem-solving techniques for data structures and algorithms.

• YouTube
• 2 hours 10 minutes
• On-Demand
• Free Video

Complete Statistics for Data Science

Comprehensive statistics guide covering descriptive and inferential techniques, probability, hypothesis testing, and data analysis using Python. Ideal for aspiring data scientists and analysts.

• YouTube
• 5 hours 29 minutes
• On-Demand
• Free Video

Complete Machine Learning in 6 Hours - Krish Naik

Comprehensive machine learning tutorial covering key algorithms, techniques, and practical implementations for regression, classification, clustering, and ensemble methods.

• YouTube
• 6 hours 38 minutes
• On-Demand
• Free Video

Deep Learning Indepth Tutorials With Krish Naik

Comprehensive deep learning tutorial covering key concepts, techniques, and practical implementations, from perceptrons to CNNs, with hands-on examples and expert insights.

• YouTube
• 5 hours 42 minutes
• On-Demand
• Free Video

Introduction to Statistics in Data Science

Comprehensive introduction to key statistical concepts in data science, covering population, sampling, variables, measurement scales, and data visualization techniques.

• YouTube
• 1 hour 29 minutes
• On-Demand
• Free Video

Decrypting Web 3.0

Explore the fundamentals of Web 3.0, including mining, cryptocurrencies, data sharing, smart contracts, tokenomics, and the metaverse in this comprehensive breakdown with industry expert Pareen Lathia.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Face Matching Application Using Deep Learning - End to End Implementation

Develop a Bollywood celebrity face matching application using deep learning, covering data collection, architecture design, environment setup, implementation stages, and web app creation.

• YouTube
• 3 hours 16 minutes
• On-Demand
• Free Video

Implementation of Perceptron in Deep Learning Using Python from Scratch

Comprehensive guide to implementing perceptrons in Python, covering theory and practical coding from scratch for deep learning enthusiasts and AI developers.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Deep Learning - All Optimizers in One Video - SGD with Momentum, Adagrad, Adadelta, RMSprop, Adam Optimizers

Comprehensive exploration of deep learning optimizers, covering gradient descent, SGD, momentum, Adagrad, Adadelta, RMSprop, and Adam, with detailed explanations and comparisons.

• YouTube
• 1 hour 42 minutes
• On-Demand
• Free Video

Implementation of End to End Kaggle Machine Learning Project With Deployment

Comprehensive guide to implementing a machine learning project for car price prediction, covering data exploration, model fitting, and deployment on Heroku.

• YouTube
• 1 hour 31 minutes
• On-Demand
• Free Video

End to End ML Project With Deployment - Project Problem Statement, EDA and Model Training

Comprehensive guide to building and deploying a machine learning project, covering problem definition, exploratory data analysis, feature engineering, and model training.

• YouTube
• 39 minutes
• On-Demand
• Free Video

End to End MLOPS Data Science Project Implementation With Deployment

Comprehensive MLOps project implementation covering data ingestion, validation, transformation, model training, and deployment on AWS EC2 using MLflow and GitHub Actions.

• YouTube
• 2 hours 33 minutes
• On-Demand
• Free Video