The Machine Learning Certification Course at London IT Training covers the fundamentals of machine learning in 5 weeks where you will spend approximately 12 hours a week. Our expert faculty team will train you on machine learning concepts, including regression, supervised and unsupervised learning, developing algorithms, classification, modeling, and more. You’ll get hands-on experience by working on real-time projects that will enable you to become job-ready.
Prerequisites
This course is best suited for graduates who are aiming to build their careers in Data Science and Machine Learning. Students who have a good understanding of mathematical concepts and basic statistics at the college level can opt for this course. Basic knowledge of python programming is a plus.
What will you gain after this course
After completion of the Machine Learning Certification Course, you will be able to:
Develop machine learning algorithms and models
Understand supervised and unsupervised learning
Work with regression models
Use different classification methods
Build decision trees and random forests
Apply K-Means clustering and time series modeling techniques
Understand ensemble learning and recommender systems
Prepare for a career as a machine learning engineer or data scientist
Jobs you can get with a Machine Learning Certification
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Who is this certification for?
The Machine Learning Certification Course is best suited for graduates who are aiming to build their careers in Data Science and Machine Learning. It is also suitable for intermediate professionals who are aiming to work as Machine Learning Engineers. After completion of the course, you will be prepared for a career as a Machine Learning Engineer or Data Scientist. You can also work as a UK Data Scientist.
Machine Learning Engineer
Data Scientist
Data Analyst
Business Analyst
Analytics Manager
Small Groups
With small groups of students, our instructors can work closely with each student.
Flexible Class Schedules
Our class schedules are flexible on weekdays, weekend, or evenings to suit your schedule.
Experienced Instructors
Our instructors follow a modified are personalized approach to engage students during class
Hi-Tech Lab Facilities
Our students can access our lab facilities anytime for practical experience during and after studies.
Syllabus
I. Introduction to Machine Learning
Learning Objectives
Relationship between Artificial Intelligence, Machine Learning, and Data Science
Definition and Features of Machine Learning
Machine Learning Approaches
II. Supervised Learning Regression and Classification
Learning Objectives
Supervised Learning
Supervised Learning: Real Life Scenario
Understanding the Algorithm
Supervised Learning Flow
Types of Supervised Learning
Types of Classification Algorithms
Types of Regression Algorithms
Accuracy Metrics
Cost Function
Evaluating Coefficients
Challenges in Prediction
III. Decision Trees and Random Forest
Learning Objectives
Decision Tree: Classifier
Decision Tree: Examples
Decision Tree: Formation
Choosing the Classifier
Overfitting of Decision Trees
Random Forest Classifier Bagging and Bootstrapping
Machine learning is a subset of artificial intelligence that involves teaching machines to learn from data and improve their performance on a task over time.
A career in machine learning typically requires a strong foundation in mathematics, statistics, and computer science. In addition, familiarity with programming languages like Python and experience with data analysis and modeling are also important.
To get started with machine learning, you can begin by learning programming languages such as Python, R, and SQL, and become familiar with machine learning libraries such as Scikit-learn and TensorFlow. You can also take online courses or attend workshops and conferences to learn more about machine learning.
Ethical considerations associated with machine learning include issues of bias and discrimination, privacy concerns, and accountability for the decisions made by machine learning models.
You will have access to assistance and support throughout the course. Additionally, you will have access to free mentorship, live chat for instant solutions, and mandatory feedback sessions.
After completion of the Machine Learning Certification Course, you will be prepared for a career as a Machine Learning Engineer or Data Scientist. You can also work as a UK Data Scientist.
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