medini bv
Collaborative Computer Science & coding lessons with creativity
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medini bv
Bachelors degree
/ 55 min
medini - Know your tutor
Hello, I'm Medini BV, a Computer Science and Robotic Engineer and tutor with a Bachelors in Electronics and Masters in Robotics. Am Having 3+ years of Industrial experience and 2+ years of tutoring. In this journey i have poured knowledge to 200+ students including working professional, Engineering, College and School students. My teaching philosophy revolves around making complex concepts simple for students and give depth knowledge with practical implementation. I specialize in teaching Python, Artificial Intelligence, Machine Learning. Deep Learning, Computer Vision, Data Science, C, C++, Embedded Systems, Electronics, Arduino programming, ROS and STEM for kids. I believe in engaging students through interactive learning methods to ensure they grasp the subject thoroughly. Let's embark on a learning journey together!
medini graduated from GOVERNMENT ENGINEERING COLLEGE RAMANAGARA


Programming tutor specialities
Test prep
Exam prep
Upskilling
Next Generation Science Standards - NGSS (USA)
State-Specific Standards (USA)
Common Core State Standards - CCSS (USA)
Project help
Advanced Placement (AP) Program (USA)
Job readiness
AI modules
Summary
Podcast
Quiz
Learnings
Flashcard
Spotlight
Zero Risk Guaranteed
15-days refund
Free tutor swap
No cancel fee
1-yr validity
24/7 support
Learner for programming class
Adult / Professional
All Levels
College
School
Programming class overview
As a Computer Science and Programming tutor, I believe in making learning engaging and collaborative. I personalize classes based on students' interests, level of understanidng making the session more interactive. My teaching style is empathetic and practical, focusing on real-world applications of concepts. I also incorporate creative methods to enhance learning, such as gamified activities. I create a structured plan with exercises to help students build their skills gradually. I aim not only to help them academically but also to prepare them for internships and jobs in leading tech companies giving them industrial exposure and requirements.
Your programming tutor also teaches
Artificial Intelligence
C
C++
Coding for kids
Computer Science
Matlab

Computer Science concepts taught by medini
The Tutor and Student explored supervised learning classification models, focusing on Logistic Regression. They discussed various classification algorithms, their applications, and implemented Logistic Regression using a heart disease dataset, including data cleaning, model evaluation via confusion matrices and classification reports, and interpretation of feature importance using SHAP values. The next session will be scheduled after the Student's interview.
Classification Models
Logistic Regression for Classification
Model Evaluation in Classification
SHAP Values for Model Interpretability
The Student and Tutor focused on the Maximum Power Transfer Theorem in electrical circuits. They reviewed its principles, derived the formula for maximum power transfer, and practiced solving problems involving various resistor networks to find the optimal load resistance and maximum power delivered. The next session will cover RLC circuits and related concepts like resonance.
Thevenin Resistance (R<SUB>TH</SUB>) Calculation
Power Calculation Formulas
Maximum Power Transfer Theorem
The student and tutor reviewed and practiced applying Thevenin's theorem to solve complex electrical circuits. They worked through multiple examples involving different circuit configurations, including those with multiple voltage sources, current sources, and various resistor combinations, and briefly touched upon converting between Thevenin and Norton equivalents. The tutor plans to send more practice questions to the student.
Norton's Theorem
Superposition Theorem (Implicit Application)
Circuit Analysis Techniques for Multiple Sources
Thévenin's Theorem
The Tutor and Student reviewed Thevenin's and Norton's theorems, practicing the conversion between the two equivalent circuits. They worked through example problems, focusing on calculating equivalent resistance, Thevenin voltage (V_TH), and understanding voltage division in different circuit configurations. The session aimed to solidify the student's understanding of these network reduction techniques.
Thevenin's Theorem vs. Norton's Theorem
Norton's Theorem Fundamentals
Calculating Equivalent Resistance (R<0xE2><0x82><0x99> / R<0xE2><0x82><0x97><0xE2><0x82><0x9B>)
Determining Thevenin Voltage (V<0xE2><0x82><0x97><0xE2><0x82><0x9B>) and Norton Current (I<0xE2><0x82><0x99>)
The class covered Thevenin's and Norton's theorems for simplifying electrical circuits. The student practiced applying these theorems to calculate equivalent voltage/current sources and resistances in given circuits, with further concepts like AC circuit analysis and phasors mentioned for future sessions.
Thévenin's Theorem
Norton's Theorem
Circuit Reduction and Equivalence
Series vs. Parallel Resistances and Voltage/Current Behavior
The session covered mesh analysis, including super mesh analysis for circuits with current sources bridging loops. The tutor and student also reviewed the superposition theorem, practicing its application to calculate currents and voltages by considering each source independently and then summing the results. The student was assigned practice problems for both mesh and superposition theorems.
Superposition Theorem
Supermesh Analysis
Mesh Analysis
Teaching tools used by tutor
Jupyter Notebook
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