Perfect Computer Engineer

YUNOVA topics taught with this channel's videosइस channel के videos से पढ़ाए जाने वाले YUNOVA topics

• Waterfall versus Agile · Agile and Scrum
• Iterative and incremental delivery · Agile and Scrum
• Agile mindset · Agile and Scrum
• Kanban board and WIP limits · Agile and Scrum
• Jira scrum board · Agile and Scrum
• Agile metrics · Agile and Scrum
• A simple agent, traced step by step · AI Agents
• Describing a tool to the model · AI Agents
• Blocks and the chain · Blockchain Fundamentals
• Public, private and consortium blockchains · Blockchain Fundamentals
• Bitcoin as the first design · Blockchain Fundamentals
• Hash functions and SHA-256 · Blockchain Fundamentals
• Properties of a hash · Blockchain Fundamentals
• Merkle trees · Blockchain Fundamentals
• Why consensus is needed · Blockchain Fundamentals
• Proof of work and mining · Blockchain Fundamentals
• Proof of stake · Blockchain Fundamentals
• Byzantine fault tolerance · Blockchain Fundamentals
• The double-spend problem · Blockchain Fundamentals
• Nodes and the peer-to-peer network · Blockchain Fundamentals
• How a transaction moves · Blockchain Fundamentals
• What a smart contract is · Blockchain Fundamentals
• Ethereum and the EVM · Blockchain Fundamentals
• Gas · Blockchain Fundamentals
• dApps · Blockchain Fundamentals
• The OSI model · Computer Networking
• Image histograms · Computer Vision
• Image file formats and compression · Computer Vision
• Edge detection · Computer Vision
• Precision recall for detection · Computer Vision
• Confusion matrix for image classes · Computer Vision
• Availability · Cybersecurity Fundamentals
• Trade-offs between them · Cybersecurity Fundamentals
• Denial of service · Cybersecurity Fundamentals
• Symmetric encryption · Cybersecurity Fundamentals
• TLS in one picture · Cybersecurity Fundamentals
• Network segmentation · Cybersecurity Fundamentals
• Wi-Fi security · Cybersecurity Fundamentals
• Secure network design in brief · Cybersecurity Fundamentals
• Data ke types kya hote hain · Data Analysis Fundamentals
• Structured semi-structured and unstructured data · Data Engineering
• Star schema · Data Engineering
• Event schemas · Data Engineering
• The data science life cycle · Data Science Fundamentals
• Summary statistics · Data Science Fundamentals
• Mean, median and spread · Data Science Fundamentals
• Clustering with k-means · Data Science Fundamentals
• Reading constraints and choosing an approach · Data Structures & Algorithms
• Asymptotic notation questions · Data Structures & Algorithms
• Releasing from a Kanban board · Jira
• Supervised versus unsupervised learning · Machine Learning with Python
• Confusion matrix · Machine Learning with Python
• Cross-validation · Machine Learning with Python
• House price prediction · Machine Learning with Python
• Metric questions · Machine Learning with Python
• Common network attacks · Network Security
• Defence in depth · Network Security
• The CIA triad applied to a network · Network Security
• Security zones · Network Security
• Tokens sentences and corpora · Natural Language Processing
• Part of speech tagging · Natural Language Processing
• Text normalization · Natural Language Processing
• Text classification · Natural Language Processing
• Sentiment analysis · Natural Language Processing
• Keyword and keyphrase extraction · Natural Language Processing
• Topic modelling basics · Natural Language Processing
• Information extraction · Natural Language Processing
• Sequence models for text · Natural Language Processing
• Train validation test for text · Natural Language Processing
• Accuracy precision recall and F1 · Natural Language Processing
• Confusion matrix for text classes · Natural Language Processing
• Handling imbalanced text data · Natural Language Processing
• Error analysis by examples · Natural Language Processing
• Intent classification · Natural Language Processing
• Text summarization basics · Natural Language Processing
• Question answering basics · Natural Language Processing
• Building a simple NLP pipeline · Natural Language Processing
• Context switching · Operating Systems
• Priority scheduling · Operating Systems
• Page replacement numericals · Operating Systems
• Critical path method · Project Management
• Kanban basics · Project Management
• What a task tool is for · Project & task tools: Trello, Asana & monday.com
• Boards, lists and cards: the idea all of them share · Project & task tools: Trello, Asana & monday.com
• Kanban: to do, doing, done · Project & task tools: Trello, Asana & monday.com
• Labels and priorities · Project & task tools: Trello, Asana & monday.com
• Choosing a tool for your team · Project & task tools: Trello, Asana & monday.com
• Where regex is used · Regular Expressions
• Character classes: [abc], ranges and negation · Regular Expressions
• Shorthand classes: \d, \w, \s and the dot · Regular Expressions
• Exact counts: {n,m} · Regular Expressions
• Greedy and lazy matching · Regular Expressions
• Anchors: ^, $ and word boundaries · Regular Expressions
• Backreferences · Regular Expressions
• Named groups · Regular Expressions
• Alternation with | · Regular Expressions
• Find and replace with regex in VS Code · Regular Expressions
• Histograms and box plots · Six Sigma
• What software engineering is · Software Engineering
• Software characteristics · Software Engineering
• Waterfall model · Software Engineering
• Iterative and incremental models · Software Engineering
• Spiral model · Software Engineering
• Choosing a model · Software Engineering
• The SRS document · Software Engineering
• Software project management · Software Engineering
• LOC and function points · Software Engineering
• Gantt and PERT charts · Software Engineering
• Black-box testing · Software Engineering
• White-box testing and cyclomatic complexity · Software Engineering
• CMM levels · Software Engineering
• Kanban · Software Engineering
• DevOps: the idea · Software Engineering
• What software testing is · Software Testing
• Quartiles and percentiles · Statistics
• Simple linear regression · Statistics
• Distributed locks concepts · System Design
• Testing · Vibe Coding with AI
• SQL versus NoSQL · Website Development