For Corporate and in-house training
Sign up for KnowledgeHut’s four-week Machine Learning with Python course to understand Machine Learning using one of the most popular programming languages, Python. Through this course, you will learn concepts like supervised and unsupervised learning, regression, and more. Visualize data using Python and built-in libraries like Matplotlib, and Scikit.
.....Prepare yourself with in-demand Machine Learning skills with KnowledgeHut in Bangalore and have a higher chance of getting hired by top recruiters from around the world. Add new projects to your portfolio and a certificate in machine learning to prove your competency.
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 demand for data engineers grew by 50% in 2020. The post-COVID world is adapting to new ways of working and Data Science is one of the in-demand roles as many firms are hiring those who can use data and convert them into strategic plans for the organization. Data Science has been a top job on LinkedIn’s Emerging Jobs Report for the last three years.
.....Learn the most in-demand machine learning and Python skills. These skills are in demand in Bangalore and all over the world as organizations are slowly realizing the potential of these tools in the modern world. The average salary for a data scientist in Bangalore is INR 6,73,582 per year. The demand for data scientists is estimated to grow by 16% between 2020 and 2028. Getting trained in Machine Learning and Python will open up access to lucrative jobs in Bangalore and similar cities.
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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.