Description
Machine Learning with Python – Complete Course & Projects is a course on how to build, evaluate, and deploy machine learning models with Python, published by Udemy Online Academy. You’ll start by mastering essential Python libraries like NumPy, Pandas, Matplotlib, and Scikit-Learn, then delve into core machine learning concepts like supervised and unsupervised learning, regression, classification, clustering, and model evaluation. The course emphasizes practical application through real-world projects where you clean and preprocess data, select and tune models, visualize results, and solve meaningful problems from start to finish.
The course starts with Python basics, and then covers machine learning concepts like evaluation metrics or feature engineering topics. Finally, machine learning algorithms are covered. By completing this course, you will have the knowledge of how machine learning algorithms work and be able to implement machine learning algorithms in Python. In this course, we will cover Python fundamentals, Pandas, feature engineering, machine learning evaluation metrics, split train testing, and machine learning algorithms.
What you will learn in Machine Learning with Python – Complete Course & Projects:
- Learn Data Science
- Learn the theories behind machine learning algorithms
- Learn how to use machine learning algorithms in Python
- Learn Feature Engineering
- Learn Python Fundamentals
- Learn Data Analysis
- And…
Course specifications
Publisher: Udemy
Instructors: Onur Baltacı
Language: English
Level: Introductory to Advanced
Number of Lessons: 50
Duration: 4 hours and 19 minutes
Course topics
Machine Learning with Python – Complete Course & Projects Prerequisites
No requirements. Just willingness to learn is enough.
Pictures
Machine Learning with Python – Complete Course & Projects introduction video
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
943 MB
