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Online Classes Telugu Mother Tongue (Native)
English Proficient
Hindi Proficient
BITS, Pilani 2015
Master of Engineering - Master of Technology (M.E./M.Tech.)
CRPF, Hyderabad, India - 500078
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Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
11
Data science techniques
Artificial Intelligence, Machine learning, Python
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in AI Training
10
Teaching Experience in detail in AI Training
I provide a structured, hands-on learning path that covers the entire AI ecosystem: Data Foundations: Master NumPy for numerical computing and pandas for sophisticated data manipulation. Classical Machine Learning: Build robust predictive models using scikit-learn, focusing on regression, classification, and ensemble methods. Deep Learning: Go beyond the basics with intensive training in PyTorch and TensorFlow to build and train neural networks. Natural Language Processing (NLP): Learn the mechanics of language models and text processing using PyTorch. Data Structures & Algorithms (DSA): Develop the computational logic required to write efficient, scalable AI code. Big Data & Deployment: Gain exposure to Hadoop and Kafka to understand how models function within large-scale data pipelines.
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Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
11
Data science techniques
Artificial Intelligence, Machine learning, Python
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in AI Training
10
Teaching Experience in detail in AI Training
I provide a structured, hands-on learning path that covers the entire AI ecosystem: Data Foundations: Master NumPy for numerical computing and pandas for sophisticated data manipulation. Classical Machine Learning: Build robust predictive models using scikit-learn, focusing on regression, classification, and ensemble methods. Deep Learning: Go beyond the basics with intensive training in PyTorch and TensorFlow to build and train neural networks. Natural Language Processing (NLP): Learn the mechanics of language models and text processing using PyTorch. Data Structures & Algorithms (DSA): Develop the computational logic required to write efficient, scalable AI code. Big Data & Deployment: Gain exposure to Hadoop and Kafka to understand how models function within large-scale data pipelines.
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