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.
Enroll today!!
I hold PhD in Computer Sciences and a PostDoc from the Max Planck Institute for Software Systems. I have been programming since early 2000 and have worked with many different languages, tools and platforms. I have an extensive research experience with many state-of-the-art models to my name. My research in Android security has led to some major shifts in the Android permission model.
I love teaching and the most important reason I upload online is to make sure people can find my content. If you have any problem with finances and you want to take my courses, please visit my site (link on the left). I am more than willing to give out coupons that will make the course more affordable for you.
You can see all the different areas I've worked with on my site as well as on my github page.
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