Smriti Bhandari Computer Vision, Machine Learning, Research
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I teach in a way such that students can build interest in learning. I usually explain the concept quoting real world examples. Thus students can understand it better and try to apply it for problem solving. Also, I make students think and come up with solutions and then pick the appropriate one after analysing the same. I want my students to understand the concepts thoroughly and apply it while building the solutions in their professional career. Students usually appreciate my teaching and turn up with great respect. I always provide course material for reference.
It would be better if group of students approach me for learning any subject.

Subjects

Data Structure Bachelors/Undergraduate-Masters/Postgraduate
Machine Learning Bachelors/Undergraduate-Doctorate/PhD
Computer Vision Bachelors/Undergraduate-Doctorate/PhD
Digital image processing Bachelors/Undergraduate-Doctorate/PhD
Database Management Systems Diploma-Masters/Postgraduate
Python for Data Science Beginner-Expert

Experience

No experience mentioned.

Education

PhD in CSE (Dec, 2005–Oct, 2010) from Shivaji University, Kolhapur

Fee details

₹1,500–3,000/hour (US$17.55–35.09/hour)

Courses offered

Introduction to Machine Learning
- ₹2599
- Duration: 36 Hours
- Delivery mode: Online
- Group size: 11 - 20
- Instruction language: English
- Certificate provided: Yes
In this course, you will gain a comprehensive understanding of machine learning, a subset of artificial intelligence. Starting with the basics, you will learn about the different types of machine learning algorithms, such as supervised and unsupervised learning, reinforcement learning. Through hands-on exercises, you will apply these concepts to real-world problems, exploring techniques for data preprocessing, feature engineering, model training, and evaluation. By the end of this course, you will have the skills and knowledge to start building your own machine learning solutions.

Key Highlights:

* Understand the foundations of machine learning
* Explore various types of machine learning algorithms
*Gain hands-on experience with data preprocessing and model training
*Learn how to evaluate and optimize machine learning models

Prerequisites:
Basic Programming - Python recommended

https://learningfactory.graphy.com/
Data Structures, Algorithms and Applications
- ₹3199
- Duration: 36 Hours
- Delivery mode: Online
- Group size: 11 - 20
- Instruction language: English
- Certificate provided: Yes
This course provides a comprehensive introduction to fundamental data structures in computer science. Learners will learn about various data structures, their operations, and their applications in solving real-world problems. The course covers topics such as arrays, linked lists, stacks, queues, trees, graphs, and hash tables, searching and sorting. The hands-on will be in C or C++.

Key Highlights:

* Learn to implement and manipulate common data structures
* Understand the trade-offs between different data structures
* Master algorithms for searching, sorting, and traversing data
* Apply data structures to solve coding problems and optimize performance

What you will learn:

* To gain a deep understanding of arrays, linked lists, and their implementation
* To explore the concepts of stacks, queues, and their applications
* To learn about trees, binary search trees, and balanced trees
* To understand the fundamentals of graphs and graph traversal algorithms
* To master hash tables and their role in efficient data retrieval
* To learn and use various searching and sorting algorithms

The course will be offered in live sessions for 12 weeks - 3 hours per week - Evening or Week End Sessions.

The session recordings will be made available for the learners.

Tentative date of commencement of course: 01 August 2023

https://learningfactory.graphy.com/
Project-based Machine Learning
- ₹3299
- Duration: 36 Hours
- Delivery mode: Online
- Group size: 11 - 20
- Instruction language: English
- Certificate provided: Yes
Project-based Machine Learning is a comprehensive course that introduces the fundamentals of machine learning in a practical and applied manner. This course is designed to provide hands-on experience in using machine learning algorithms to solve real-world problems. Throughout the course, you will work on various projects that will strengthen your understanding of machine learning concepts and techniques.

Key Highlights:

* Gain a solid understanding of machine learning algorithms
* Learn how to apply machine learning techniques to solve real-world problems
* Develop practical skills through hands-on projects
* Explore different machine learning tools and frameworks
* Get insights from industry experts through real-life case studies

Prerequisites:
Python Programming and Basics of Machine Learning recommended

The course will be offered in live sessions for 12 weeks - 3 hours per week - Evening or Week End Sessions.

The session recordings will be made available for the learners.

Tentative date of commencement of course: 01 August 2023

Engineering students and professionals, python beginners and Machine Learning Enthusiasts may enroll for this course to excel in their careers.

https://learningfactory.graphy.com/
Python Programming and Data Science Tools
- ₹1799
- Duration: 24 Hours
- Delivery mode: Online
- Group size: 11 - 20
- Instruction language: English
- Certificate provided: Yes
Python Programming and Data Science Tools is a comprehensive course designed to teach you the fundamentals of Python programming and its application in data science. Whether you are a beginner or have some programming experience, this course will provide you with the necessary skills to analyze and manipulate data using Python and the data science tools such as Pandas, Numpy and Matplotlib.

Key Highlights:

* Master the basics of Python programming language
* Learn popular data science tools like NumPy, Pandas, and Matplotlib
* Gain hands-on experience with programming assignments
* The course will be offered in live sessions for 8 weeks - 3 hours per week - Evening or Week End Sessions.

The session recordings will be made available for the learners.

Tentative date of commencement of course: 01 August 2023

https://learningfactory.graphy.com/