Course description
Machine Learning Real World projects in Python is a complete course for training machine learning. Machine learning is one of the hottest technology fields in the world right now! This field is exploding with opportunities and career prospects. Machine learning techniques are widely used today in several sectors such as banking, healthcare, finance, transportation, education and technology.
The course covers several techniques in a hands-on way, projects include coding sessions as well as algorithm explanations, so if you want to play a role in the future of technology development, you have the opportunity to get started with machine learning. Since in a practical life, machine learning can seem complicated and difficult, that’s why we designed the course to help by breaking it down into real-world use cases that are easier to understand.
What you will learn in this course:
- Machine learning engineers earn an average of $164,000 per year – get ready to hire this job with this round!
- Learning zero to one hundred machine learning from data collection to machine learning model building
- Solve any problem in your business with the machine learning techniques you learn
- Learn the math behind all machine learning patterns (Linear Regression, Logistic, Decision Tree, Ensemble Patterns, KNN, Naive Bayes and many more!)
- Learning different feature selection techniques and how to apply them in the real world
- How to approach a real-world problem?
- And …
Who is this course suitable for?
- Data scientists who want to apply their knowledge to real-world case studies
- Machine learning enthusiasts looking to add more projects to their portfolio and resume
Course specifications :
- Publisher: Udemy
- teacher : Shan Singh
- English language
- Education level: all levels
- Duration: 13 hours and 7 minutes
- Number of courses: 74
- File format: mp4
Course headings :
Course prerequisites:
- Basic knowledge of Python programming is recommended.
Images of Machine Learning Real World projects in Python
Sample video
Installation guide
After extracting, watch with your favorite player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
4.8 GB