Krish Naik Courses

End to End NLP Project Implementation With Deployment Github Action - Text Summarization - Krish Naik

Comprehensive guide to implementing an end-to-end NLP text summarization project, covering data processing, model training, evaluation, and deployment using GitHub Actions on AWS.

• YouTube
• 3 hours 38 minutes
• Self-Paced
• Free Video

End to End Deep Learning Project Using MLOPS DVC Pipeline With Deployments Azure and AWS - Krish Naik

Comprehensive guide to building and deploying a deep learning project for chicken disease classification using MLOps tools, DVC pipeline, and cloud platforms Azure and AWS.

• YouTube
• 3 hours 51 minutes
• Self-Paced
• Free Video

Machine Learning Series - Revising Complete Linear Regression, Cost Function, Convergence Algorithm

Comprehensive review of linear regression, covering simple and multiple regression, cost function, and convergence algorithms with mathematical intuition and practical examples.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Anomaly Detection Tutorials - Machine Learning and Its Types With Implementation

Comprehensive tutorial on anomaly detection techniques in machine learning, covering Isolation Forest, DBSCAN clustering, and Local Outlier Factor with practical implementations and examples.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video