Description:
Machine learning allows machines to learn from data, just as humans learn from experience. It is the science of teaching computers to perform tasks by learning from data rather than explicit programming. Machine learning powers numerous technologies we interact with daily, often without realizing it. In this course, you’ll explore widely used algorithms and methodologies to implement them. Whether you’re just starting with basic programming and statistics, this course will help you develop your skills to solve real-world problems using machine learning techniques.
Objectives:
Upon completing this course, you will be able to:
- Utilize Python for Data Science (including Python, Numpy, Pandas, Scikit Learn, and Matplotlib).
- Understand the fundamentals of Machine Learning.
- Build and train Machine Learning algorithms to solve practical problems.
Pre-requisites:
- Basic programming skills.
- Knowledge of high school mathematics such as Linear Algebra, Probability theory, basic calculus, and basic statistics.
Who Should Attend This Training?
- Analytics professionals looking to deepen their knowledge.
- Data Science professionals seeking to expand their skill set.
- Software professionals looking to transition into the analytics field.
- Graduates aiming to start a career in Machine Learning and Data Science.
- Other professionals working with online customer-based organizations.
Prepare for Certification:
Our training and certification program provides a comprehensive understanding of key topics in Machine Learning and Artificial Intelligence. Earning this certification not only boosts your income potential but also demonstrates your proficiency in applying these technologies. It validates your ability to produce reliable, high-quality results with greater efficiency and consistency.
