Krish Naik Courses

Inside ChatGPT- Unveiling the Training Process of OpenAI's Language Model

Explore the training process behind ChatGPT, including generative pretraining, supervised fine-tuning, and reinforcement learning through human feedback. Gain insights into AI language model development.

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

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
• On-Demand
• Free Video

BentoML Tutorial - Build Production Grade AI Applications

Learn to build scalable AI applications with BentoML, covering implementation, model serving, API demo, and packaging for production deployment.

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

Step-by-Step Machine Learning Project Implementation: EDA, Feature Engineering, Selection, and Model Training

Comprehensive guide to implementing a machine learning project, covering data cleaning, EDA, feature engineering, selection, model training, and hyperparameter tuning.

• YouTube
• 1 hour 26 minutes
• On-Demand
• Free Video

Evidently AI Tutorial - Open Source ML Models Monitoring and Observability

Learn to monitor and evaluate ML models with Evidently AI, an open-source Python library for data scientists. Explore reports, test suites, and dashboards for continuous model quality assessment.

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

End to End ML Project - Data Transformation Implementation Using Pipelines

Implement data transformation using pipelines for ML projects, covering categorical and missing value handling, standard scaling, and artifact storage.

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

Docker for Data Science Tutorial

Comprehensive Docker tutorial for data scientists, covering containers, images, installation, and Docker Compose. Learn to implement end-to-end data science projects using Docker.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

End to End ML Project With Deployment - Github and Code Set Up

Comprehensive guide to setting up an end-to-end machine learning project, covering GitHub repository creation, environment setup, and initial code commits.

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

SQL Constraints Tutorial - Part 1

Learn SQL constraints including Not Null, Unique, and Primary Key to ensure data accuracy and reliability in MySQL databases. Practical examples and implementation techniques provided.

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

Blockchain Technology: Fundamentals and Functionality - Tutorial 3

Explore blockchain technology fundamentals, including its structure, key players, transaction processes, and core concepts like hash keys and memory pools.

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

Discussing All the Types of Feature Transformation in Machine Learning

Comprehensive overview of feature transformation techniques in machine learning, covering standardization, scaling, MinMax, Robust Scalar, and Gaussian transformations for data preprocessing.

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

EvalML AutoML Library to Automate Feature Engineering, Feature Selection, Model Creation and Tuning

Explore EvalML, an AutoML library automating feature engineering, selection, model creation, and tuning. Learn to streamline your data science workflow and improve project efficiency.

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

SVM Kernels In-Depth Intuition - Polynomial Kernels Part 3 - Machine Learning Data Science

Explore polynomial kernels in SVM, understanding their intuition, use cases, and hyperparameter tuning for enhanced machine learning model performance.

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

Machine Learning Model Retraining Approach - Incremental and Continuous Model Training

Explore incremental machine learning model training for continuous updates, addressing model drift and improving performance over time.

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

Alexnet Architecture In-Depth Discussion Along With Code - Deep Learning Advanced CNN

In-depth exploration of AlexNet architecture, including mathematical operations, layers, and implementation code for advanced deep learning and convolutional neural networks.

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