16-Week Live ML Course
A personalized course designed for beginners and intermediate learners eager to delve into the world of data and machine learning. Our goal is to guide you in mastering ML algorithms, enabling you to formulate solutions for industry problems, equipping you with the skills needed to excel in interviews, and boosting your confidence as a problem solver.
Course Details
2 classes/week, 32 live classes, 64+ hours guided learning, 8 learners in a batch.
Tuition fee (India): ₹30,000, Tuition fee (Other countries): $700 (Inclusive all taxes)
Our current batch enrollments are closed. To receive notifications about our upcoming batches, you can join the waitlist using your email.
- ✓ ML concepts + applications
- ✓ Data analysis + pre-processing
- ✓ 10+ machine learning projects
- ✓ Performance improvement strategies
- ✓ Model deployment techniques
- ✓ Model development + deployment
- ✓ Structured + Unstructured data
- ✓ Classification and regression
- ✓ Supervised and Unsupervised
- ✓ Numpy, Pandas, Scikit-Learn
- ✓ Basic Python programming
- ✓ Basic problem solving skill
- ✓ Min 6 hours/week availability
- ✓ Curiosity to master ML
- ✓ Laptop with good internet
- ✓ Unlimited doubt handling
- ✓ Three 1:1 mentorship sessions
- ✓ GitHub code support
- ✓ Weekly practice assignments
- ✓ Resume and profile building
- ✓ Interview centric course.
- ✓ Application-centric approach
- ✓ Reason-centric thought process
- ✓ Guided + collaborative learning
- ✓ Delivered by experts.
What will we discuss?
What skills will you learn?
Course prerequisite
Course support
Why join this course?
If you have any questions, please reach out to us at contact@enjoyalgorithms.com.
1. What will be the language of communication?
2. Where are the classes conducted?
3. What will be the programming language used in this course?
4. Will there be assignments?
5. How will our doubts be handled in the course?
6. Will there be reserved slots for 1:1 or mock interview?
7. How is this course different from your self-paced ML course?
8. Which interviews can we target after completing this course?
9. Can I pay in instalments?
10. Is there a refund policy?
11. Will you issue a course completion certificate?
12. What if I miss a session during the course?
13. Can I share course resources on social media?
14. Do we need GPU-based computers to learn this course?
15. I am new to Python. Can I still take this course?
16. Is data structures compulsory for this course?
17. I already know the basics of machine learning. Is it still worth it?
18. I am a data science professional. Will this course be helpful for me?
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