Create ML-powered projects on the go with our exciting Machine Learning Workshop!
Empower your creativity with Machine Learning - driven projects you can build and carry anywhere through our Machine Learning workshop!
Limited Seats Available.
What is Machine Learning?
Machine learning is a type of artificial intelligence (AI) that allows machines to learn and improve from experience without being explicitly programmed
What You'll Learn
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Classification
In machine learning, classification is the process of using algorithms to categorize data into specific classes.
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Regression
Regression is a machine learning technique that uses algorithms to identify patterns in data and predict outcomes.
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Clustering
Clustering is an unsupervised machine learning technique that groups similar data points into clusters.
What Project's You'll Build
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Heart Quality Monitor
Utilizing Machine Learning for Accurate Heart Health Monitoring An innovative approach to detect and analyze heart signals, enabling in real-time
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Real Estate Prices
Predicting Real Estate Prices Using Machine Learning
Harnessing data-driven algorithms to forecast property values with accuracy, empowering smarter investment
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Marketing Strategies for Mall
Effective Marketing Strategies to Attract Mall Visitors
Leveraging targeted promotions, experiential events, and personalized campaigns to enhance foot traffic.
Meet Your Trainers
Our trainers bring a unique perspective and wealth of experience to the table, ensuring a dynamic and enriching learning experience for all attendees.
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Stitiprangya Patra
Tech Associate
As a Tech Associate at TIF Labs, Stitiprangya Patra specializes in Machine Learning, Neural Networks, and Data Science, applying advanced mathematical concepts to drive innovation and enhance model performance. His technical expertise is evident. -
Reeve Fernandes
Full Stack Developer
Reeve Fernandes, a Computer Science graduate from SRM Institute of Science and Technology, Chennai, has made a remarkable impact as a Full Stack Developer at TIF Labs. Specializing in web development with React and Robotic Process Automation (RPA).
What Past Attendees Are Saying
Don't Miss Out On This Exclusive Opportunity!
Don't miss out on this exclusive opportunity to dive into the cutting edge of technology! Join our Machine Learning workshop and unlock the potential of edge AI, gaining hands-on experience.
FAQ'S
Do I need any prior experience with programming or Python?
Yes, you need to have prior experience programming in python.
Will I receive a certification upon completion of the course?
Yes, upon successfully completing a course, you will receive a certification from Robocraze. This certification can be a valuable addition to your professional portfolio, showcasing your expertise and skills in the respective field.
Who is this workshop for?
The workshop is suitable for individuals interested in AI and machine learning, especially those who want to learn how to implement these technologies on a microcontroller like the Raspberry Pi Pico.
Is a google account compulsory for the workshop?
While the objectives of the workshop can be achieved without a google account, it is highly recommended especially for beginners to avoid the hassles of installation of multiple softwares and libraries.
Will there be any support after the workshop?
Participants will be provided with reference material to continue their learning journey in the field of TinyML
Will there be recordings provided?
The workshop is designed to provide a live and immersive experience where the participants will need to actively participate and perform the experiments along the the trainer. In order to maximize the learning potential, attendance is mandatory for the live sessions and recordings will not be provided.
What kind of projects can I work on with scikit-learn?
scikit-learn is used for various machine learning tasks, including classification (e.g., spam detection), regression (e.g., house price prediction), clustering (e.g., customer segmentation), and dimensionality reduction (e.g., PCA for feature selection). These are some of the areas you'll explore in the workshop.
Will I need any datasets for the scikit-learn workshop?
Yes, we will use publicly available datasets, such as the Iris dataset or Breast Cancer dataset, which are provided directly within the scikit-learn library. You do not need to bring any datasets; they will be provided as part of the workshop materials.
If any queries about Payment/Course, please free to to write an email to connect@robocraze.com or ring us at +918123057137
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