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Zafar Iqbal

Zafar Iqbal

NDA
4.6
Excellent

186 comments

5-star
4-star
3-star
2-star
1-star

Review summary

Based on 186 comments, created with AI

Students overwhelmingly praise this teacher's teaching quality, teacher's experience, fees vs value. Many students highlight nicely and very simply explained the concepts, even for...

What students talk about most

Teaching Quality

Sir Zafar excels at simplifying complex topics, making them accessible even to beginners, and explai...

Teacher's Experience

The comments strongly suggest Sir Zafar possesses significant experience, evident in his ability to ...

Fees vs Value

Students clearly perceive high value from Sir Zafar's teaching, expressing gratitude for his time, i...

Teacher Personality

Sir Zafar's personality is highly regarded, with students consistently describing him as a respected...

Evaluation breakdown

Teaching Quality5.0
Nicely and very simply explained the concepts, even for beginners.
Students 'only understand your lectures', indicating unique clarity.
Taught very nicely how to convert data types, their uses, and how to increase or decrease their size.
Explains even mundane concepts in so much detail, covering fundamentals like arithmetic operations, shape/reshape, slicing, and byte size.
Conveys delicate yet fundamental concepts with a deep basis in Mathematics.
Provides well and nice guidelines for the AI engineer roadmap.
One student expressed concern about the slow pace, suggesting it might take more than a year to complete the course.
Teacher's Experience5.0
Demonstrates deep understanding of AI/ML fundamentals and their mathematical basis.
Ability to explain 'intricacies' and 'mundane concepts in so much detail' suggests mastery.
Provides 'well and nice guideline for the AI engineer roadmap,' indicating comprehensive knowledge and expertise.
Study Material4.0
The lectures themselves are highly valued for their clarity, detail, and coverage of fundamental concepts (e.g., NumPy, data types, shape/reshape, byte size).
'Well and nice guideline for the AI engineer roadmap' implies structured and useful content.
The perceived slow pace of the course suggests that the overall curriculum structure or material volume might be too extensive for the given timeframe, leading to concerns about completion time.
Doubt Support3.0
Students state they 'only understand your lectures,' implying that the clarity of teaching might proactively reduce the need for extensive doubt support.
No direct comments explicitly mentioning doubt resolution mechanisms or support availability.
Tests & Practice3.0
Flexibility3.0
One student explicitly states, 'don't you think we are going too slow? With this speed, I think it would take more than a year to complete,' indicating a lack of perceived flexibility in pacing or adapting to student needs for faster progress.
Fees vs Value5.0
Students express deep gratitude, feeling 'indebted' and hoping to 'succeed under the guidance of such a mentor,' indicating they perceive immense value from his 'valuable time and information.'
Appreciation for his 'effort and hard work' and 'commitment and dedication' further highlights the perceived value.
Teacher Personality5.0
Described as 'respected sir,' 'mentor,' 'committed,' 'dedicated,' and inspiring positive feelings ('always be happy sir,' 'Stay blessed, sir,' 'Keep shining').
Students appreciate his effort and hard work and feel a strong connection to him as a guide.

Top Strengths

1. Exceptional Teaching Quality (Clarity, Simplicity, Detail)

2. Highly Respected Teacher Personality (Dedication, Mentorship)

3. Strong Perceived Value by Students

Areas to Improve

1. Pacing of the Course (Address concerns about slow speed and course duration)

2. Explicit Doubt Support Mechanisms

3. Introduction or Visibility of Tests & Practice

What students love

MashAllah sir, I really enjoyed. Sir Irfan, Guru Hisam Sarwer, and Zafar Iqbal, always be happy sir.

3 likes

Nicely and very simply explained the concepts of arithmetic in NumPy. Even if someone doesn't know programming, they can easily grasp these concepts. Excellent efforts by Sir Zafar Iqbal.

1 likes

W salam sir, I only understand your lectures. Please pray for me to learn, sir.

1 likes

Thank you so much sir for giving your valuable time to youth. I hope we succeed under the guidance of such a mentor.

1 likes

Thank you Respected sir for your time and information. You taught very nicely how to convert data types, their uses, and how to increase or decrease their size. Highly appreciate your effort and hard work.

1 likes

AOA! I am Mubeen Ahmad from Pakistan. Well and nice guideline for the AI engineer roadmap. I also studied at the 5th to 6th level, nobody told about the subject, your video is simple, I like it. Thank you.

1 likes

No doubt, arithmetic operations are the backbone of both the NumPy library and AI/ML. Thank you for explaining even mundane concepts in so much detail.

Understanding shape/reshape and slicing is fundamental. I realize the importance of these building blocks of AI/ML. We are indebted to you for this commitment and dedication. Stay blessed, sir.

Enjoyed this lecture deeply. The concept of byte size is extremely important for us, future AI engineers. Thank you so much for making us aware of these intricacies, dear sir.

This was the first lecture I took after a long break. I am amazed by how you conveyed these delicate yet fundamental concepts with a deep basis in Mathematics. Keep shining, Zafar sahib.

What could be better

Respected sir, with due respect, don't you think we are going too slow? With this speed, I think it would take more than a year to complete.

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