Bhaskar -  - Gurugram
1st lesson free
Bhaskar -  - Gurugram

One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Bhaskar will be happy to arrange your first lesson.

Bhaskar

One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Bhaskar will be happy to arrange your first lesson.

  • Rate ₦21667
  • Response 2h
  • Students

    Number of students accompanied by Bhaskar since their arrival at Superprof

    50+

    Number of students accompanied by Bhaskar since their arrival at Superprof

Bhaskar -  - Gurugram
  • 5 (15 reviews)

₦21667/h

1st lesson free

Contact

1st lesson free

1st lesson free

Data Scientist at Optum | BS-MS Economics IIT Kanpur | Machine Learning | Python | SQL | Database | Data Science

Lesson location

    • webcam

Ambassador

One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Bhaskar will be happy to arrange your first lesson.

About Bhaskar

I am a Data Scientist - at Optum. 5+ Years of experience working as a Data Scientist 6+ Years as a Teacher. BS, MS in Economics & Machine Learning, IIT Kanpur Want to understand the concepts in Machine Learning and Artificial Intelligence? Come, Talk to Me

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About the lesson

  • All Levels
  • English

All languages in which the lesson is available :

English

Welcome to our Machine Learning course, an immersive experience designed to guide you through the fascinating world of algorithms, data analysis, and predictive modelling. This course is ideal for students, professionals, and enthusiasts eager to unlock the mysteries of machine learning and apply these skills to solve real-world problems across various domains such as finance, healthcare, technology, and more.



What You Will Learn:

Foundations of Machine Learning: Understand the fundamental concepts, including the different types of machine learning: supervised, unsupervised, and reinforcement learning.

Key Algorithms and Models: Dive deep into essential ML algorithms, from linear regression and logistic regression to neural networks and decision trees. Learn how and when to use them effectively.

Data Preprocessing: Master the art of cleaning and preparing data for analysis, an essential skill for any machine learning project.

Model Evaluation and Selection: Learn how to evaluate the performance of your models and select the right model for the right problem using techniques like cross-validation and hyperparameter tuning.

Practical Projects: Apply your knowledge to real-life datasets, building and fine-tuning models to tackle challenges in areas like natural language processing, computer vision, and predictive analytics.

Ethical Implications: Explore the ethical considerations in machine learning, including bias, fairness, and privacy, to ensure responsible use of technology.



Class Structure:

Engaging Lectures: Participate in dynamic lectures designed to make complex concepts accessible, with plenty of examples and interactive discussions.

Hands-On Lab Sessions: Gain practical experience with guided lab sessions, where you'll work on projects and exercises to apply what you've learned.

Personalized Feedback: Receive constructive feedback on your projects to help you improve and overcome challenges.

Flexible Schedule: Classes are designed to fit around your commitments, with options for evening and weekend sessions, and personalized one-on-one tutoring available.


Who Should Enroll:
This course is suited for anyone looking to dive into the world of machine learning, regardless of prior experience. Whether you aim to shift your career path, enhance your current skill set, or simply be fascinated by AI and machine learning, this course will equip you with the knowledge and practical skills to move forward.

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Rates

Rate

  • ₦21667

Pack prices

  • 5h: ₦86669
  • 10h: ₦144448

webcam

  • ₦21667/h

free lessons

This first lesson offered with Bhaskar will allow you to get to know each other and clearly specify your needs for your next lessons.

  • 30mins

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