Bottler education requirements

1. Support Vector Machine Classification in Python

In this 1-hour long guided project-based course, you will learn how to use Python to implement a Support Vector Machine algorithm for classification. This type of algorithm classifies output data and makes predictions. The output of this model is a set of visualized scattered plots separated with a straight line. You will learn the fundamental theory and practical illustrations behind Support Vector Machines and learn to fit, examine, and utilize supervised Classification models using SVM to...

2. Machine Learning: Build neural networks in 77 lines of code

4.5

(284)

Machine Learning and Artificial Intelligence for beginners. How to build a neural network in 77 lines of Python code...

3. Practical Introduction to Machine Learning with Python

4.6

(265)

Quickly Learn the Essentials of Artificial Intelligence (AI) and Machine Learning (ML)...

4. The Complete Machine Learning Course with Python

4.5

(6,881)

Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!...

5. Practical Machine Learning by Example in Python

4.2

(609)

A Deep Dive into Building Machine Learning and Deep Learning models...

6. Executive Briefing: Machine Learning

4.1

(5,211)

Machine Learning for Executives and Top-Level Managers: understand Machine Learning in under 90 Minutes...

7. Data Science: Master Machine Learning Without Coding

4.7

(911)

Learn Fundamentals Of Data Science & Machine Learning With Rapidminer (No Coding). Dataset & Solutions Included...

8. Machine Learning with Python: COMPLETE COURSE FOR BEGINNERS

4.6

(277)

Complete Machine Learning Course with Python for beginners...

9. Machine Learning Classification Bootcamp in Python

4.5

(934)

Build 10 Practical Projects and Advance Your Skills in Machine Learning Using Python and Scikit Learn...

10. Machine Learning with Javascript

4.7

(3,132)

Master Machine Learning from scratch using Javascript and Tensorflow JS with hands-on projects...

11. Machine Learning and AI: Support Vector Machines in Python

4.7

(1,423)

Artificial Intelligence and Data Science Algorithms in Python for Classification and Regression...

12. Ensemble Machine Learning in Python: Random Forest, AdaBoost

4.6

(2,091)

Ensemble Methods: Boosting, Bagging, Boostrap, and Statistical Machine Learning for Data Science in Python...

13. Introduction to World Machine

4.8

(285)

Gain a strong foundation into the world of procedural terrain generation taught by a 13-year game industry veteran...

14. Machine Learning, Data Science and Generative AI with Python

4.6

(29,651)

Complete hands-on machine learning and AI tutorial with data science, Tensorflow, GPT, Open AI, and neural networks...

15. Data Science: Supervised Machine Learning in Python

4.6

(2,941)

Full Guide to Implementing Classic Machine Learning Algorithms in Python and with Scikit-Learn...

16. Machine Learning for Data Analysis: Data Profiling & QA

4.6

(3,130)

Machine Learning made simple with Excel! Learn data profiling for advanced analysis & business intelligence (no coding!)...

17. Machine Learning: A Beginner's Basic Introduction

4

(338)

Learn Machine Learning Basics with a Practical Example...

18. Machine Learning Practical: 6 Real-World Applications

4.5

(2,836)

Machine Learning - Get Your Hands Dirty by Solving Real Industry Challenges with Python...

19. Cluster Analysis and Unsupervised Machine Learning in Python

4.6

(4,877)

Data science techniques for pattern recognition, data mining, k-means clustering, and hierarchical clustering, and KDE...