Roopa S C
Bangalore/Online
Skills :
About :
Roopa S C is an experienced tutor with a strong educational background, holding a B.Tech, M.Tech, and an MBA. She is also certified in TESOL, which demonstrates her commitment to t…
Roopa S C is an experienced tutor with a strong educational background, holding a B.Tech, M.Tech, and an MBA. She is also certified in TESOL, which demonstrates her commitment to teaching and understanding language acquisition. With nine years of teaching experience, Roopa has developed a deep understanding of how to help students learn effectively.
Fluent in both English and Kannada, Roopa is able to cater to a diverse range of students. She focuses on creating a supportive learning environment, where students can feel comfortable asking questions and exploring new concepts. Roopa is passionate about helping her students achieve their academic goals and gain confidence in their abilities.
Roopa S C
Bangalore/Online
Skills :
Roopa S C is an experienced tutor with a strong educational background, holding a B.Tech, M.Tech, and an MBA. She is also certified in TESOL, which demonstrates her commitment to t...
Roopa S C is an experienced tutor with a strong educational background, holding a B.Tech, M.Tech, and an MBA. She is also certified in TESOL, which demonstrates her commitment to teaching and understanding language acquisition. With nine years of teaching experience, Roopa has developed a deep understanding of how to help students learn effectively.
Fluent in both English and Kannada, Roopa is able to cater to a diverse range of students. She focuses on creating a supportive learning environment, where students can feel comfortable asking questions and exploring new concepts. Roopa is passionate about helping her students achieve their academic goals and gain confidence in their abilities.
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Courses by Roopa S C
Online and Offline
26 Hour
English, Hindi, Kannada
Bangalore, No.3,1st main Hebbal Binny Mill Road , near Peekay mini mart ,Ganganagar extension , Bangalore - 560032
360 INR
Week Days / Weekends
Phase 1: Python Foundations (12th Standard & Beyond)
Chapter 1: Kickstarting with Python – Setting up environments (Jupyter, VS Code), basic syntax, variables, and data types (Strings, Integers, Floats).
Chapter 2: Logic and Control – Mastering if-else statements, for and while loops, and error handling with try-except.
Chapter 3: Data Structures – Comprehensive study of Lists, Tuples, Dictionaries, and Sets for data organization.
Chapter 4: Functional Programming – Defining functions, scope, recursion, and lambda functions.
Chapter 5: Object-Oriented Programming (OOP) – Classes, objects, inheritance, and encapsulation for building scalable software.
Phase 2: Data Science Toolkit (The Core of AI)
Chapter 6: Numerical Computing with NumPy – High-performance arrays and mathematical operations.
Chapter 7: Data Manipulation with Pandas – Cleaning, filtering, and analyzing datasets using DataFrames.
Chapter 8: Data Storytelling – Advanced visualization using Matplotlib and Seaborn to identify data patterns.
Chapter 9: The Math of AI – Practical linear algebra, calculus, and statistics required for model understanding.
Phase 3: Machine Learning Mastery
Chapter 10: Introduction to ML – Understanding the ML pipeline: Data collection, preprocessing, and model training.
Chapter 11: Supervised Learning (Regression) – Predicting values with Linear and Multiple Regression.
Chapter 12: Supervised Learning (Classification) – Logistic Regression, Decision Trees, Random Forests, and SVMs.
Chapter 13: Unsupervised Learning – Finding hidden patterns with K-Means Clustering and Dimensionality Reduction (PCA).
Chapter 14: Model Evaluation – Mastering metrics like Accuracy, Precision, Recall, and Hyperparameter Tuning using GridSearchCV.
Phase 4: Advanced AI & Deep Learning
Chapter 15: Neural Networks Foundations – Building multi-layer perceptrons, understanding activation functions, and backpropagation.
Chapter 16: Computer Vision (CNNs) – Image recognition and classification using TensorFlow or PyTorch.
Chapter 17: Natural Language Processing (NLP) – Text processing, sentiment analysis, and sequence modeling with RNNs and LSTMs.
Chapter 18: Generative AI & LLMs – Introduction to Transformers, Prompt Engineering, and building applications with Large Language Models.
Phase 5: Future-Ready Projects & Deployment
Chapter 19: Agentic AI – Understanding autonomous agents that can perform tasks independently.
Get tutor location
Location: No.3,1st main Hebbal Binny Mill Road , near Peekay mini mart ,Ganganagar extension , Bangalore - 560032, Bangalore
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