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Machine Learning with Python course offered by KnowledgeHut will give you a chance to deep-dive into the basics of machine learning using the well-known programming language, Python. Get introduced to data exploration and discover the various machine learning approaches like supervised and unsupervised learning, regression, and classifications, and more.
.....The Machine Learning Course with Python by KnowledgeHut is a 48-hour, instructor-led live training course, with 80 hours of MCQs and assignments. It also includes 45 hours of hands-on practical session, along with 10 live projects.
With all these options available, a career as a Machine Learning Engineer can be both satisfying and rewarding. Sign up with KnowledgeHut so we can lead you on the right path towards becoming a machine learning expert in Toronto.
48 Hours of Live Instructor-Led Sessions
80 Hours of Assignments and MCQs
45 Hours of Hands-On Practice
10 Real-World Live Projects
Fundamentals to an Advanced Level
Code Reviews by Professionals
The future workplace is being shaped by data science thanks to artificial intelligence and robots. For the past three years, Data Science has ranked first in LinkedIn's Emerging Jobs Report. Various firms are looking for someone who can turn data sets into strategic projections. Meet that need by acquiring in-demand machine learning and Python abilities.
.....As more brands realize the possibilities of these tools in the post-COVID world, Machine Learning and AI have started to change the way we work. In 2020, demand for data engineers increased by 50%, and demand for data scientists increased by 32% over the previous year. This demand is not just in the tech industry but across different industries including finance, banking, entertainment, healthcare, aerospace, and more. The average income for a Data Scientist in Toronto is CA$89,550 per year, and demand for data scientists is expected to rise by exponentially in the near future.
Not sure how to get started? Let our Learning Advisor help you.
Our immersive learning approach lets you learn by doing and acquire immediately applicable skills hands-on.
Learn theory backed by real-world practical case studies and exercises. Skill up and get productive from the get-go.
Get trained by leading practitioners who share best practices from their experience across industries.
Our Data Science advisory board regularly curates best practices to emphasize real-world relevance.
Webinars, e-books, tutorials, articles, and interview questions - we're right by you in your learning journey!
Six months of post-training mentor guidance to overcome challenges in your Data Science career.