Computer Science Principles
Course Progress
0/0
Objectives in LxD
3.4 Strings
3.4 Strings
3.3 Mathematical Expressions
3.3 Math Expressions
3.2 Data Abstractions
3.2 Data Abstractions
3.2 Data Abstractions
3.1 Variables & Assignments
3.1 Variables and Assignments
3.1 Variables and Assignments (Sample)
Intro to Python
Intro to Javascript
3.5 Boolean Expressions (PY)
3.5 Boolean Expressions (JS)
3.8 Iterations
3.7 Nested Conditionals
3.6 Conditionals
3.8 Iterations
3.7 Nested Conditionals
3.6 Conditionals
3.13 Developing Procedures
3.12 Calling Procedures
3.10 Lists
3.13 Developing Procedures
3.10 Lists
3.9 Developing Algorithms
3.17 Algorithmic Efficiency
3.9 Algorithms
3.17 Algorithmic Efficiency
3.15 Random Numbers (pseudocode)
3.15 Random Numbers (js)
3.15 Random Numbers (py)
BI 3 Review
Data Frames | Pandas | Intro 1
ML | Titanic Data
Titanic Survival Predictor
Titanic Survival Predictor - Aaryav
ML | Fitness
ML | Neural Network | Handwritting Detection
Network Stack | HTTP and TCP/IP
API | Request | Response | Database
Data | SQL Connect
Data | SQLAlchemy
Data | Binary Logic
Computer System | Web Server | Flask
Single Responsibility & API Chaining
Computing Systems | AWS Deployment | Setup Applicationa
Computing Systems | AWS Deployment | Launch EC2
Computing System | AWS Deployment| Step-by-Step Guide
Titanic Survival Predictor
1 min read
Would You Have Survived the Titanic?
Enter your passenger details below and find out your survival chances using machine learning.
Prediction Results
Survival Chance
—
Death Chance
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0% Survival
100% Survival
Feature Importance
How much each factor matters in the prediction model: