1^st class free

Ayra

5 (1 review)

Rate ₹900
Response 1h

5 (1 review)

₹900/hr

1^st class free

Computer networks
Information Technology
IT security
Network
Machine Learning

Machine Learning & Artificial Intelligence with Python, Data Science, Statistical Learning, Practical Model Building and Intelligent Systems

Computer networks
Information Technology
IT security
Network
Machine Learning

Class location

- Online

About Ayra

I am a third-year B.Tech student in Computer Science and Engineering, specializing in Cybersecurity, with a growing interest in Machine Learning, Artificial Intelligence, and Data Science. I enjoy exploring the mathematical principles behind intelligent systems and applying programming to solve computational problems. My approach emphasizes conceptual clarity, analytical thinking, and practical implementation.

About the class

Machine Learning Fundamentals: Supervised, unsupervised, and introductory reinforcement learning; regression, classification, clustering, features, labels, and the end-to-end ML workflow.

Python for AI and Data Science: Python fundamentals, NumPy, Pandas, Matplotlib, and Seaborn for numerical computing, data manipulation, analysis, and visualization.

Mathematics and Statistics for Machine Learning: Probability, descriptive statistics, distributions, conditional probability, linear algebra fundamentals, vectors, matrices, derivatives, and optimization concepts.

Data Preprocessing and Feature Engineering: Data cleaning, missing-value handling, categorical encoding, feature scaling, outlier analysis, feature selection, and dataset preparation.

Core Machine Learning Algorithms: Linear and logistic regression, decision trees, random forests, k-nearest neighbors, support vector machines, Naive Bayes, k-means clustering, and dimensionality reduction fundamentals.

Model Training and Evaluation: Training, validation, and test sets; cross-validation; overfitting and underfitting; bias-variance trade-off; confusion matrices; accuracy, precision, recall, F1-score, and ROC-AUC fundamentals.

Deep Learning Fundamentals: Neural network architecture, neurons, activation functions, loss functions, gradient descent, backpropagation, and introductory implementation using suitable Python frameworks.

Natural Language Processing (NLP): Text preprocessing, tokenization, text representation, bag-of-words, TF-IDF, sentiment analysis, and introductory language-processing applications.

Computer Vision Fundamentals: Image data preparation, pixel representations, image classification concepts, and an introduction to convolutional neural networks.

Time-Series Analysis: Trend and seasonality, time-based data preparation, forecasting fundamentals, and introductory applications using Python.

Model Interpretability and Responsible AI: Understanding model predictions, feature importance, data bias, limitations, and responsible use of AI systems.

Practical Projects and Deployment Basics: Dataset exploration, exploratory data analysis, end-to-end model development, performance evaluation, saving trained models, and introductory deployment concepts.

Sessions can include coding exercises, worked examples, LaTeX-based notes, assignments, and personalized doubt-clearing. Scheduling is flexible, subject to mutual availability. The aim is to build a sound understanding of the concepts, strengthen independent implementation skills, and establish a foundation for more advanced work in AI, Machine Learning, and Data Science.

Recommendations

Recommendations come from relatives, friends and acquaintances of the teacher

M

Mahsa

I had a really good experience with Ayra di during my SAT preparation... She explained the concepts clearly and was always patient whenever I had doubts... I especially liked how she broke down difficult questions and explained the logic behind each answer... The sessions were helpful and made my preparation feel more organised... Overall, I had a positive learning experience with Ayra di, and I'd definitely recommend her to other students preparing for the SAT.
Read more

M
Mahsa
I had a really good experience with Ayra di during my SAT preparation... She explained the concepts clearly and was always patient whenever I had doubts... I especially liked how she broke down difficult questions and explained the logic behind each answer... The sessions were helpful and made my preparation feel more organised... Overall, I had a positive learning experience with Ayra di, and I'd definitely recommend her to other students preparing for the SAT.
View more recommendations

Rates

Rate

₹900

Pack prices

5h: ₹4500
10h: ₹9000

free classes

This first free class with Ayra will allow you to get to know each other and to specify the exact learning requirements for the upcoming classes.

online

₹900/hr

Machine Learning & Artificial Intelligence with Python, Data Science, Statistical Learning, Practical Model Building and Intelligent Systems

Class location

About Ayra

About the class

Recommendations

Rates

Rate

Pack prices

free classes

online

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About Ayra

About the class

Recommendations

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Pack prices

free classes

online

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