Great Learning Courses

Hierarchical Clustering

Learn hierarchical clustering techniques, distance measures, and optimal cluster determination for effective unsupervised machine learning applications in data analysis and pattern recognition.

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

Bagging and Boosting

Explore ensemble learning techniques like bagging and boosting to improve machine learning model performance. Learn how to combine multiple algorithms for better results across various domains.

• YouTube
• 1 hour 35 minutes
• On-Demand
• Free Video

Firewall

Explore cybersecurity fundamentals, including firewalls, threats, and vulnerabilities. Learn about firewall types, their importance, and how they differ from antivirus software.

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

Scikit-Learn

Learn to implement machine learning solutions using Scikit-learn, covering installation, algorithms, applications, advantages, and hands-on Python demos for data-driven decision-making.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

Pygame Tutorial

Learn to create 2D games with Pygame framework using Python. Explore game window creation, adding images, sound, animation, text, shapes, and more to develop interactive games.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Autocorrelation

Explore autocorrelation in data analytics: its concept, importance, testing methods, and applications. Includes a practical Python demo for hands-on learning and skill development.

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

Feature Engineering

Learn to optimize machine learning models through feature engineering techniques, from basic concepts to practical Python demonstrations, enhancing your data science skills.

• YouTube
• 1 hour 27 minutes
• On-Demand
• Free Video

Inventory Management

Learn effective inventory management techniques, including stock types, methods, accounting, and optimization strategies for improved business operations and cost control.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

K Fold Cross Validation

Learn k-fold cross-validation for machine learning, covering theory and hands-on practice in Python. Improve model performance and understand data splitting techniques for effective training and testing.

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

Classes in Java

Explore Java classes: definition, elements, memory allocation, coding standards, access modifiers, encapsulation, and inner classes. Learn to create and use classes effectively in object-oriented programming.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

SciPy in Python - Scientific Python Tutorial

Comprehensive tutorial on SciPy library for scientific computing in Python, covering installation, sub-packages, clusters, constants, FFTPack, interpolation, linear algebra, and image processing.

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

Exception and File Handling in Python

Learn Python file handling and exception management techniques, including reading, writing, and manipulating text files, as well as implementing error handling strategies for robust code.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Inferential Statistics

Learn fundamental concepts of inferential statistics, including data collection, hypothesis testing, and statistical analysis techniques for making data-driven inferences and decisions.

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

Flask Python

Learn to deploy machine learning models using Flask, a Python web framework. Explore Flask's capabilities, advantages, and applications in this comprehensive tutorial.

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

Linked List in Python

Comprehensive tutorial on implementing linked lists in Python, covering singly, doubly, and circular lists with detailed explanations of traversal, insertion, and deletion operations.

• YouTube
• 2 hours 24 minutes
• On-Demand
• Free Video