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medini bv

Interactive Machine Learning lessons with problem-solving focus

4.7(77)

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Data Science tutor - medini bv

Bachelors degree

/ 30 min

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

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.

medini graduated from GOVERNMENT ENGINEERING COLLEGE RAMANAGARA

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

Data Science tutor skills

Data engineering icon

Data engineering

Data visualization icon

Data visualization

Machine learning icon

Machine learning

Assignment help icon

Assignment help

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Predictive modeling

Free lesson slots

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keyLearning

Data Science concept taught by medini

Student learned 19 days ago

Medini and Kalana recently explored Python's built-in libraries, including the `math`, `random`, `sys`, and `os` modules. Kalana actively practiced various functions from these libraries, gaining practical experience. Her assignment for the week is to design a random number guessing game, specifically utilizing the `random` module. The lesson concluded with plans to delve deeper into the `os` module and file operations in their next meeting.

Math Module

Random Module

Sys Module

OS Module

Math Module

Random Module

Sys Module

OS Module

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Student learned about 1 month ago

Medini taught Kalana the principles of procedural-oriented programming in Python, specifically focusing on structuring code using functions and the essential `if __name__ == "__main__"` construct. Kalana actively practiced implementing this structure and gained an understanding of modules, packages, and libraries, including how to explore Python's built-in modules. Their next lesson is scheduled to delve further into packages and libraries, covering installation and providing hands-on practice.

Python Modules

`if __name__ == "__main__":`

Procedural Oriented Programming (POP)

Python Packages/Libraries

Built-in Modules

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Student learned about 2 months ago

Medini tutored a student from California State University, Bakersfield, in a lesson focused on simplifying mixed circuits and finding equivalent resistances. The learner honed their skills by reducing complex circuits to single equivalent resistances and calculating unknown resistance values using Ohm's Law. For homework, Medini assigned additional practice problems.

Unit Prefixes (milli & kilo)

Ohm's Law

Series Resistors

Parallel Resistors (Three or More)

Parallel Resistors (Two)

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Student learned about 2 months ago

During a recent lesson, Medini and Kalana explored Python's argument passing methods, including positional, keyword, and default arguments, as well as global and local variables. Kalana gained practical experience with these concepts and will continue working through practice questions, with Medini preparing updated notes. Their upcoming lesson is set to cover procedure-oriented standard formats, modules, and packages.

Default Argument Passing

Keyword Argument Passing

Positional Argument Passing

Keyword List Argument Passing (**kwargs)

List Argument Passing (*args)

Local Variables

Global Variables

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Meena learned 2 months ago

A student from the University of the Pacific in Stockton reviewed R programming basics, covering variable types, data types, and the application of `class()` and `type of()` functions. The learner then practiced identifying data types and implementing both arithmetic and relational operators in R. The upcoming lesson is set to delve into logical, assignment, and miscellaneous operators, along with an introduction to vectors and modules like Plotly.

Relational/Comparison Operators

Variable Declaration (Dynamic)

Data Types in R

Class vs. Typeof

Integer Division

Arithmetic Operators

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Sonia learned 3 months ago

Medini taught GamerLP 3345 the basics of GUI creation in Python using the Tkinter library. They covered creating windows, labels, and buttons, and customizing their appearance and behavior. GamerLP 3345 practiced implementing these elements and explored the potential for creating simple games.

Label Widget

GUI (Graphical User Interface)

Tkinter Library

Widgets in GUI

Button Widget

Window Geometry

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Learner types for data science class

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College

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