Krish Naik Courses

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

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

How to Debug Logs and Web Application in Heroku - Data Science

Learn to troubleshoot and debug Heroku applications, focusing on log analysis and error resolution for web and data science projects.

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

Fake News Classifier with Machine Learning and NLP - Part 1

Learn to build a fake news classifier using machine learning and NLP techniques. Covers data preprocessing, feature extraction, and multinomial classification algorithms for detecting misinformation.

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

LSTM Recurrent Neural Network In Depth Intuition

Gain in-depth intuition on LSTM Recurrent Neural Networks, exploring memory cells, operations, and layers for advanced understanding of this powerful deep learning architecture.

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

MongoDB With Python - Querying JSON Documents - Data Science

Learn to query MongoDB with Python, focusing on JSON documents and data science applications. Covers server connection, insertion, querying, operators, and nested documents.

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

Performance Metrics for Classification Problem in Machine Learning - Part 1

Learn key performance metrics for binary classification in machine learning, including recall and precision, to effectively evaluate model performance and make informed decisions.

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

Pandas Tutorial - Reading CSV Files with Various Parameters - Part 2

Learn to use Pandas for reading CSV files with various parameters, exploring functions and customization options to efficiently handle and analyze data in Python.

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