Machine Learning training course does not presume or require any prior knowledge in machine learning. To understand the concepts, presentation and to complete the exercises, we are recommending that students have following:
If, Prior experience of coding in Python is beneficial.
Candidate should need to feel comfortable reading and writing Python code which contains basic programming constructs, i.e. function definitions/invocations, lists and dicts, including conditional expressions.
We are using an experiential delivering methodology that blends theoretical concepts with hands-on practical learning to ensure a holistic understanding of the subject or course.
Live Interactive classes with expert
What is Machine Learning?
Machine learning is a powerful tool for making highly accurate and actionable predictions about your products, customers, marketing efforts, or any number of other applications. Learning with data, use statistical technique without being explicitly program.
Why to learn Machine learning?
Acquire new skills with our Machine Learning Certifcation Training Course
In this course candidate learn how to automate data and doing analysis, how to enable computers to learn and adapt, to do specific tasks without explicit programming. Introduction to Machine learning, Artificial Intelligence and their usage in practical real world. The various theories used in modeling and tools for data and programming, types of machine learning, plotting and visualizing, statistical methods, data modeling, decision trees, clustering models, basics and real life examples of neural networks. After completion of training candidate has proficient knowledge on concepts of machine learning including supervised and unsupervised learning, algorithms, support vector machines, mathematical and heuristic aspects, and hands-on modeling to develop algorithms.
Machine Learning Certification Training Course & Curriculum
Introduction to Machine learning
Types of machine learning
Tools for machine learning
Basics of Python programming
Data modeling - Linear regression
Data modeling - Logistic regression
Decision trees example
Classifiers & Support vector machines
Association rules learning
Clustering K means Model example
Basics of neural networks
Types of neural networks
Student Take away
"No Resources for this Course"
Certification demonstrates your dedication, motivation and technical knowledge on a specific platform. Having a certification shows that you not only possess comprehensive knowledge of that technology but you also care enough about your own career to spend the time and money to get the certification.
We are welcoming our Students or professionals to participate in our professional online courses. We are offering great variety of online training programs and professional courses that you can always find as desired. After the completion of training program they will receive a certificate from BISP. As a Certified professional you can apply that knowledge in your future profession and enjoy with better salaries & career prospects.