Engineering Course Materials
B.Tech – Artificial Intelligence and Data Science
Data visualizing using Matplotlib involves creating charts and graphs in Python to understand and communicate data patterns clearly. It supports
Continue readingUNIT – II DATA VISUALIZING USING MATPLOTLIB- SUBJECT NOTES
Exploratory Data Analysis (EDA) is the process of visually and statistically analyzing datasets to discover patterns, spot anomalies, test assumptions,
Continue readingUNIT – I EXPLORATORY DATA ANALYSIS- SUBJECT NOTES
Model Evaluation is the process of assessing how well a machine learning model performs on unseen data. It uses metrics
Continue readingUNIT IV – MODEL EVALUATION -16 MARKS WITH ANSWERS
Deep Networks are neural networks with multiple hidden layers that learn hierarchical features from data. They enable complex pattern recognition
Continue readingUNIT 1 – DEEP NETWORKS – 16 MARKS WITH ANSWERS
Deep networks are neural networks with multiple hidden layers that learn complex patterns from large data. They are the foundation
Deep networks are neural networks with multiple hidden layers that enable learning complex patterns from large datasets. They form the
Continue readingUNIT 1 – DEEP NETWORKS BASCIS-2 MARKS WITH ANSWERS
The Student can refer the E book for the Business research Methods
Cloud deployment environments refer to how cloud services are made available, including public, private, hybrid, and community clouds. Each environment
Continue readingCCS335 – CLOUD COMPUTING – UNIT 4 – CLOUD DEPLOYMENT ENVIRONMENT – UNIT NOTES
Virtualization infrastructure includes hypervisors, virtual machines, and management tools that allow multiple OS instances on a single hardware platform.
Virtualization is the creation of virtual versions of physical resources like servers, storage, or operating systems. It enables efficient resource
Continue readingCCS335 – CLOUD COMPUTING – UNIT 2 – VIRTUALIZATION BASICS – UNIT NOTES