medini bv
Interactive Machine Learning lessons with problem-solving focus
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medini bv
Bachelors degree
/ 55 min
About your data science tutor
I have pursued my master degree in Robotic Engineering from M S Ramaiah University of Applied Sciences Banglore and bachelors in Electronics and Communication Engineering. My roles and responsibilities and learning path towards Industry, - I worked as a intern at JSW steels Ballary by exploring the opportunities and learning's i was able to create the static Web-Page for the Company that can take the order for the customers for the products. - Further continuing the path i was intern at ComAvia System Technologies pvt. ltd Jalahalli Bangalore. During the period i has an extreme exposure to embedded system IOT. Also carried a mini project to publish the finger print data to cloud and retrieve it at the client and match the data. The main aim of the project is to make a cloud integration for the Bio metric attendance system. - I started to work as Robotics trainer for national and international students as freelancer in Wiingy Technology Pvt. Ltd during the period of M.Tech pursuing. Here i handled different course including Robotics, IOT, Arduino Programming, App development, STEM Education, Python, MATLAB, Machine learning etc. - After completion of M.Tech i joined Waveaxis Technology Pvt. Ltd as a Engineer Trainee in computer vision and Image processing. After the training period i prompted as Junior software developer. In this turning mode i had contributed my implementation 2 major project and 3 minor projects. Computer Vision, Machine Vision, Image processing, Halcon, Deep Learning, Python, OpenCV are skills of experience. - Further in the carrier moved ahead to join JyoSH AI solution Pvt, Ltd as a Senior Robotic Engineer for handling the areas of Embedded system design (H/W and S/W), Robotics, Robotics Vision, Machine learning and deep learning, Image processing, Sensor Integration, STM controller programming, Jetson GPU python coding for Machine vision in realtime, camera calibration and integration etc. - progressively i joined DLithe Consultancy Pvt. Ltd. as a Embedded Engineer. As a Embedded Engineer am handling the domains of Embedded Hardware, Software, Artificial Intelligence, Machine Learning and Robotics. being the technical expert and working on research and innovation in the domain to build the products for customer and also give the quality guidance for the students and teachers in enhancement of the industrial requirement and niche technology exploration.
medini graduated from GOVERNMENT ENGINEERING COLLEGE RAMANAGARA
Data Science tutor skills
Statistical analysis
Data engineering
Data visualization
Machine learning
Business intelligence
CoTutorAI modules
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Learner types for data science class
College
Data sciece class overview
As an expert of Artificial Intelligence, Machine Learning and Robotics and being the technical expert and working on research and innovation in the domain to build the products for customer and also give the quality guidance for the students and teachers in enhancement of the industrial requirement and niche technology exploration. I work as per the student knowledge and understanding. Making the concept clear making them independent after learning to solve any type of problems. In this exciting journey i trained more than 1000+ students in various domain receiving a constant support and encouragement for teaching. The way of teaching that i adopt has always been a grace for me to deal and comprehensive the content effective for all grades of students. I always believe in clear understanding and breakdown the problem to possible solution as minimal as possible to develop a competitive skills to solve the problem statement or coding skill. Trying to provide best support, helping them with the learning growth, supportive materials handing and doubt clarification anytime which i follow in the effective tutoring.
Data Science concepts taught by medini
Student and Tutor began a new topic on AC circuits, building upon the Student's recent success with DC circuit concepts like KVL, KCL, and superposition. They discussed the fundamental roles of resistors, capacitors, and inductors in circuits, then delved into the specifics of RC circuits, including the concept of the time constant and its implications for charging and discharging. The Tutor recommended the Student watch videos for further clarification on specific concepts before the next session.
Resistors in AC/DC Circuits
Capacitors: Charge Storage & AC Smoothing
Inductors: Magnetic Fields & Voltage Transformation
RC Circuits and the Time Constant (τ)
Practical Implications of the Time Constant
Capacitor Charging and Discharging Dynamics
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.
SHAP Values for Model Interpretability
Model Evaluation in Classification
Logistic Regression for Classification
Classification Models
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
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