SCIKIT LEARN
Specialization | 4 Course Series
This Scikit-learn Machine Learning Training includes 4 courses with 28+ hours of video tutorials and One year access and several mock tests for practice. In this course, we are going to learn about one of the libraries of Python that is mainly concerned with Machine learning and used by the developers to bring its concepts in the application. It is known as Scikit-learn and we are going to learn many machine learning algorithms and its application in this course.
Offer ends in:
What you'll get
- 28+ Hours
- 4 Courses
- Course Completion Certificates
- One year access
- Self-paced Courses
- Technical Support
- Mobile App Access
- Case Studies
Synopsis
- Courses: You get access to all 4 courses, Projects bundle. You do not need to purchase each course separately.
- Hours: 28+ Video Hours
- Core Coverage: The main aim of this course is to provide a wide understanding of machine learning and its application through Scikit-Learn
- Course Validity: One year access
- Eligibility: Anyone serious about learning Scikit-learn Machine Learning Training
- Pre-Requisites: Basic knowledge about Python and statistics
- What do you get? Certificate of Completion for each of the 4 courses and projects
- Certification Type: Course Completion Certificates
- Verifiable Certificates? Yes, you get verifiable certificates for each course with a unique link. These link can be included in your resume or LinkedIn profile to showcase your enhanced skills
- Type of Training: Video Course – Self Paced Learning
Content
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MODULE 1: Scikit-Learn Essentials Training
Courses No. of Hours Certificates Details AI Machine Learning in Python 8h 37m ✔ -
MODULE 2: Learning from Practicals
Courses No. of Hours Certificates Details Machine Learning ZERO to HERO - Hands-on with Tensorflow 13h 38m ✔ Project on Tensorflow - Implementing Linear Model with Python 1h 46m ✔ AI Artificial Intelligence & Predictive Analysis with Python 6h 15m ✔
Description
This Scikit-learn Training has been designed in such a manner that it can contain all the topics that the trainees have expertise in so that they can work effectively with this library. At the start of the course, you will get to learn about machine learning with SciKit-Learn, which is one of the important components of this course, where you will be learning every single thing about SciKit-Learn. You will also be learning about Tensorflow in this course, and to offer you practical exposure, we have practically presented things. Since all the topics will be based on Python, you will be getting deep exposure to Python in this training. Artificial intelligence is another important topic covered in this course. Once you are done with this course, you will possess an ample skillset to work efficiently with the SciKit-Learn library.
Sample Certificate
Requirements
- Several topics or concepts are there for which you should have a basic understanding to make the learning of this library easy for you. The very first thing is the basics of Python. As this library is entirely based on Python, the trainees need to have a basic understanding of the concepts of Python. If you have worked with Python, you will find the concepts covered here pretty simple. The next important concept is the basics of machine learning. With the help of this library, we will be implementing the concepts of ML. So it is very necessary to understand how it could be used. In this Scikit-learn training, we have included all the topics that we are considering as prerequisites here so that the trainees can brush up their understanding before beginning this training.
Target Audience
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- This course is open to all who want to master working with this library. We have developed the course in a manner so that I could have something for any sort of audience. The students who want to grow their
- and want to learn about this library, can be the best target audience for this course. You will be learning about python, Scikit-learn library, and Machine learning, which will eventually help them secure a good job. Developers who are working in other programming languages and want to jump to Python to begin working with Machine learning can be the best target audience for this course. They will be learning about this library in a very detailed manner and will also learn how to implement this in python. The educators who are training folks in python or machine learning can also be the best target audience for this Scikit-learn Training. They will be learning about this library very deeply and will be able to deliver their understanding to their trainees.
Course Ratings
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This video training course was created in a very structured way and easy to understand. The fundamental and concept of Artificial Intelligence were well explained with simplicity approach. The demonstration of using Python and iPython provide an overview how the application works internally.
CHONG FONG KONG