Christmas tree contractor education requirements

1. Performing regression tasks using decision tree & PCA basics

In this 1-hour long project-based course, you will learn how to perform regression tasks using decision tree & some PCA fundamental coding. you will get expertise in acing following tasks- Predicting two decision tree regression model Drawing Decision tree for regression Regularize a decision tree regressor Setting up the environment for dimensional reduction Coding for Projection methods in Dimensionality reduction Coding for PCA using SVD decomposition and SCIKIT learn...

2. Trees, SVM and Unsupervised Learning

"Trees, SVM and Unsupervised Learning" is designed to provide working professionals with a solid foundation in support vector machines, neural networks, decision trees, and XG boost. Through in-depth instruction and practical hands-on experience, you will learn how to build powerful predictive models using these techniques and understand the advantages and disadvantages of each. The course will also cover how and when to apply them to different scenarios, including binary classification and K >...

3. Decision Trees, Random Forests, AdaBoost & XGBoost in Python

4.3

(856)

Decision Trees and Ensembling techniques in Python. How to run Bagging, Random Forest, GBM, Ada Boost & XGBoost in Python...

4. VSD - Clock Tree Synthesis - Part 2

4.2

(449)

VLSI - Building a chip is like building a city!!...

5. Training & Visualizing a Decision Tree ,predicting and checking sensitivity

Training & Visualizing a Decision Tree ,predicting and checking sensitivity...

6. Decision Tree and Random Forest Classification using Julia

This guided project is about glass classification using decision tree classification and random forest classification in Julia. It is ideal for beginners who do not know what decision trees or random forests are because this project explains these concepts in simple terms. While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning. Special features:...

7. VSD - Clock Tree Synthesis - Part 1

4.3

(856)

VLSI - Building a chip is like building a city!!...

8. Decision Tree - Theory, Application and Modeling using R

4.7

(297)

Analytics/ Supervised Machine Learning/ Data Science: CHAID / CART / Random Forest etc. workout (Python demo at the end)...

9. Build Decision Trees, SVMs, and Artificial Neural Networks

There are numerous types of machine learning algorithms, each of which has certain characteristics that might make it more or less suitable for solving a particular problem. Decision trees and support-vector machines (SVMs) are two examples of algorithms that can both solve regression and classification problems, but which have different applications. Likewise, a more advanced approach to machine learning, called deep learning, uses artificial neural networks (ANNs) to solve these types of...

10. ESSENTIAL Paint TREES in watercolor. Clear videos show you.

4.5

(282)

Paint trees in watercolor with CONFIDENCE. Clear video demos show you how to paint a variety of trees, common & exotic...

11. QuickBooks For Contractors

4.1

(277)

Everything That Any Type Of Contractor Would Need When Using Quick Books...

12. How To Craft Wire Tree Sculptures With Andy Elliott

4.2

(548)

Twisting Wire To Create Beauty...

13. Customer Service Fundamentals: Putting People First

4.4

(313)

Customer Care Listening Great Customer Service Concern for Others Company Culture Engaging People Responding...

14. Algorithms Data Structures in Java #1 (+INTERVIEW QUESTIONS)

4.5

(2,807)

Basic Algorithms and Data Structures: AVL tree, Binary Search Trees, Arrays, B Trees, Linked Lists, Stacks and Hash Maps...

15. Revit MEP Beginners to Advanced (Contractor Services)

4.5

(774)

The course is suitable for Revit 2017 and later versions up to Revit 2023...

16. Functional Safety for Safety Instrumented Systems

4.1

(263)

The most complete course available on Functional Safety. 2+ hours of videos, case studies, assignments, & more...

17. The Complete Engineering Mechanics Course

4.5

(311)

Master the fundamentals of mechanics, statics and applied physics and then solve real-world mechanics problems...

18. Mechanics / Statics - Introduction to Mechanical Engineering

4.5

(263)

Engineering Solid Mechanics / Engineering Statics...

19. Building Perceptive AI in Unreal Engine

4.4

(260)

AI Perception, Behaviour Trees, and EQS...