Training Highlights
30+ Hours Live online Instructor-led Training
Hands-On Projects
Work on real-world projects
Certificate of completion
in association with
Mechanica IIT Madras
Key Takeaways:
Certificate, Lectures Recording, Projects code, Notes, etc.
Hands-on
Projects included in Training
Project 1:
ECG Heart Beat Analysis
Project 2:
Amazon Product Reviews Sentiment
Project 3:
Face Recognition & Emotion Detection using OpenCV?
Project 4:
Zomato Restaurant Reviews Sentiment Analysis
Project 5:
Classification of Handwritten Characters
Project 6:
Conventional Chatbot using Open AI, GPT
Who should attend?
Prerequisite: Basic knowledge of Python programming
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Any students in college who want to start a career in Data Science.
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Faculty & Research Scholar who want to level up in Machine Learning.
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Any data analysts who want to level up in Machine Learning & DL.
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Any people who are not satisfied with their job and who want to become a Data Scientist.
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Any people who want to create added value to their business by using powerful Machine Learning & DL tools.
AI Training Experts
WHAT PEOPLE SAY
Our Trainer
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Mr. Bipul Shahi
(M.Tech) (Exp. 7+ Yrs)
Expertise in AI & ML | IoT
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Delivered 450+ FDP, Corporate Training, & Workshops etc.
Our Trainer
Mr. Amit Mishra
(M.Tech) (Exp.8+ Yrs)
Expertise in AI & ML | Blockchain
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Delivered 500+ FDP, Corporate Training & Workshops etc.
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What will be Live classes Time Zone ?We will follow IST Zone (Indian Standard Time) [GMT +5:30].
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Will this training be Live or Pre Recorded ?This is completely Live Training. but you will get each live session recording also
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Will you be sharing each session recordings?Yes, you will get each Live session recording for lifetime access.
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Will you provide certificate of completion ?Yes, each participant will receive e-certificate of completion.
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Is Attendance compulsory in Live classes?There is no minimum attendance policy for Live classes.
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I made the payment but didn’t receive any email.Please write to: info@eduxlabs.com and our support team will get back to you within an hour. contact number +917053133032