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Quality Score

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Overall Score : 90 / 100

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Course Description

Want to become a good Data Scientist? Then this is a right course for you. This course has been designed by IIT professionals who have mastered in Mathematics and Data Science. We will be covering complex theory, algorithms and coding libraries in a very simple way which can be easily grasped by any beginner as well. We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science from beginner to advance level. We have solved few Kaggle problems during this course and provided complete solutions so that students can easily compete in real world competition websites. We have covered following topics in detail in this course: 1. Python Fundamentals 2. Numpy 3. Pandas 4. Some Fun with Maths 5. Inferential Statistics 6. Hypothesis Testing 7. Data Visualisation 8. EDA 9. Simple Linear Regression 10. Multiple Linear regression 11. Hotstar/ Netflix: Case Study 12. Gradient Descent 13. KNN 14. Model Performance Metrics 15. Model Selection 16. Naive Bayes 17. Logistic Regression 18. SVM 19. Decision Tree 20. Ensembles - Bagging / Boosting 21. Unsupervised Learning 22. Dimension Reduction 23. Advance ML Algorithms 24. Deep LearningWho this course is for:
  • This course is meant for anyone who wants to become a Data Scientist

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Instructor Details

Geekshub Pvt Ltd

GEEKSHUB IS AN ONLINE EDUCATION COMPANY IN THE FIELD BIGDATA AND ANALYTICS ,
OUR AIM AS A TEAM IS TO PROVIDE BEST SKILL-SET TO
OUR CUSTOMERS SO THAT THEY CAN CRACK ANY CHALLANGE . MANY HOT CAKES OF MARKET WHICH ARE RARE TO TEACH HAVE BEEN TAUGHT HERE.WE HAVE BEST TRAINERS TRAINING WORLDWIDE . THEY ARE IIT'IANS, MIT'IANS AND STANNFORD'S. THEY TEACH IN THEIR OWN UNIQUE FASHION, NOT JUST BY SLIDES BUT WITH PRACTICAL EXAMPLES AND EXPERIENCES.


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Reviews

4.5

44 total reviews

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Very well structured and focuses on both the theory and practicals of ML. The course doesn't go overboard with the theory content and limits it to what is important for machine learning point of view.

Brilliant course, covers lot of practical aspects of machine learning

I am basically Mechatronics student. and this is so easy to learn from house and the teaching is good and understandable.

The course is awesome and the mentor had been explaining the concepts in very detailed manner.

The breadth of this course was incredible. Over 250 lectures at almost 40 hrs this was like taking a university course ! It was mostly new material to me with insights on how to best implement techniques and models. The last section was my favorite because it wrapped everything together. I will use the approaches not only for Kaggle but also for my work as a product manager. The course could be improved by using prepared slides for each lecture to improve clarity and lessen mistakes. I would also recommend others run your code to identify issues before it is released and faster responses to questions.Thanks for assembling and presenting this course. It required much effort on your side and I appreciate that

The first doubt was answered within 2 days due to low rating and the second doubt was still not answered when the actual rating was given

Really happy with the way the instructor has taught and touched upon the most basic concepts as well which makes it easier for any beginner to understand. Although I would have loved to see a more detailed explanation on voting classifier and stacking. Other than this, an exceptional well laid-out course. Thanks!

Very Depth explanation with seer simplicity which even a naive person can also understand...

Excellent way of teaching.. Each and every things he goes in details and tries his best to make us understand, and thats the quality we the students expect.... Looking forward for the Data Science Course (rest of the chapters)

Yes . Trainer was easy to understand .

Very knowledgeable instructor.

Fabulous and mind blowing