Learn the Next Gen Language for Data Science, Machine Learning and Numerical Computing!!
On Completion of this course, you’ll be able to understand:
- Syntax of Julia (and differences from Python)
- Stength of Julia in terms of data science and machine learning
- DataFrames (equiv. to Pandas) in Julia
- Data science case studies including analysis and clustering
- Machine learning models both traditional and deep
- Create ML models from scratch in a way that helps you make modifications easily
This course is just apt for:
- All level of Data Science practitioners
- All levels of Machine Learning practitioners
- Those aiming to enhance their abilities and skill level in DS and ML
- Developers who want to know how to harness the power of big data
Some exceptional benefits associated with this course enrolment are:
- Quality course material on Julia Programming Language
- Lifetime access to the course
- Instant & free course updates
- Access to all Questions & Answers initiated by other students as well
- Personalized support from the instructor’s end on any issue related to the course
- Few free lectures for a quick overview
It’s time for you to grab the opportunity and make the most out of this course.
No student enrolled.