medini bv

Collaborative Computer Science & coding lessons with creativity

4.7(77)

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medini bv

Bachelors degree

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Each lesson is 55 min

50 lessons


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30 lessons


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20 lessons


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10 lessons


5% off

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Rated 4.7 out of 5 stars.
★★★★★
Student Favorite
Highly rated by students for excellence
77 ratings
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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

medini graduated from GOVERNMENT ENGINEERING COLLEGE RAMANAGARA
medini graduated from GOVERNMENT ENGINEERING COLLEGE RAMANAGARA

Programming tutor specialities

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Test prep

Advanced Placement (AP) Program (USA) icon

Advanced Placement (AP) Program (USA)

State-Specific Standards (USA) icon

State-Specific Standards (USA)

Project help icon

Project help

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Homework help

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Assignment help

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Exam prep

Next Generation Science Standards - NGSS (USA) icon

Next Generation Science Standards - NGSS (USA)

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Debugging

Learner for programming class

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All Levels

Adult / Professional icon

Adult / Professional

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School

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College

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

Artificial Intelligence

C

C

C++

C++

Coding for kids

Coding for kids

Computer Science

Computer Science

Matlab

Matlab

Flexible Scheduling

Allows 1h early scheduling

Allows 1h early rescheduling

Can wait for 20 mins after joining

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10 day Refund

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Computer Science concepts taught by medini

Student learned 6 days ago

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.

Mesh Analysis

Superposition Theorem

Supermesh Analysis

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Student learned 9 days ago

The Tutor and Student reviewed advanced regression models, focusing on XGBoost as a superior alternative to Decision Trees and Random Forests due to its gradient boosting approach. They implemented XGBoost using Python, discussed key parameters and ensemble methods (bagging vs. boosting), and explored visualization techniques for model importance and tree structure. The next steps will involve moving to classification models.

XGBoost (Extreme Gradient Boosting)

Ensemble Learning: Bagging vs. Boosting

XGBoost Regressor vs. Ranker

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Student learned 12 days ago

The student and tutor practiced applying nodal analysis and the supernode concept to solve complex electrical circuits. They worked through several example problems, focusing on identifying nodes, formulating equations, and solving for unknown voltages and currents. The next topic planned is supermesh analysis.

Nodal Analysis

Supernode

Supermesh Analysis

Ideal vs. Practical Components

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Student learned 16 days ago

The student and tutor reviewed advanced circuit analysis techniques, focusing on super node analysis for nodal analysis and briefly touching upon super mesh analysis for mesh analysis. They worked through example problems to solidify the understanding of applying these methods to circuits with voltage sources between non-reference nodes.

Super Mesh Analysis

Mesh Analysis

Super Node Analysis

Node Analysis

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Student learned 16 days ago

The class focused on machine learning concepts, specifically decision trees and random forests. The tutor explained how decision trees are built using MSE to split data and discussed their limitations, leading into the introduction of random forests as an ensemble method to improve accuracy. Future topics will include other regression and classification models.

Random Forest: Ensemble Learning

Decision Trees: Core Concepts

Mean Squared Error (MSE)

Ensemble Learning and Random Forests

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Student learned 18 days ago

The class reviewed electrical circuit analysis techniques, specifically super loops and the Superposition Theorem. The student practiced applying these methods to solve circuit problems with multiple sources, and the tutor provided detailed explanations and examples. Future sessions will cover more complex combinations of these theorems and address remaining challenges with super loops.

Super Loop Analysis

Current Divider Rule

Superposition Theorem

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Teaching tools used by tutor

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Jupyter Notebook

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