MCI | WING

Bonus: GIT

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MCI | WING

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Python Crash Course
Python Crash Course
- Why Python?
- Installation
- IDE
- Variables
- Types
  Types
- Comparisons & Logical operators
- Containers
  Containers
- Control Structures
  Control Structures
  - Loops - for
  - More control structures
- Functions
- Package Management
- Pandas
Python Extensive Course
Python Extensive Course
- Home
- Basics & Data Types
  Basics & Data Types
  - Motivation
  - Setup
    Setup
    
    Installation
    
    IDE
  - Variables
  - Types
    Types
    
    Strings
    
    Numbers
    
    Bool and none
- Logic & Containers
  Logic & Containers
  - Comparisons and logic
  - Containers
    Containers
    
    List
    
    Dict
    
    Tuple
- Control Structures & Functions
  Control Structures & Functions
  - Control Structures
    Control Structures
    
    For
    
    If
  - Functions
- Dev Tools & Data Handling
  Dev Tools & Data Handling
  - Packages
  - Pandas
  - Plotting
- Data Acquisition & Export
  Data Acquisition & Export
  - Data Basics
  - Data Acquisition
    Data Acquisition
    
    Tabular data
    
    API
- Graphical User Interface
  Graphical User Interface
  - Object oriented programming
  - Building Web Applications with Streamlit
- Bonus: GIT
Statistics
Statistics
- Home
- Data Basics
  Data Basics
- Descriptive Statistics
  Descriptive Statistics
  - Univariate Methods
    Univariate Methods
    
    Frequency Distribution
    
    Measures of Central Tendency
    
    Measure of Dispersion
  - Bivariate Methods
    Bivariate Methods
    
    Frequency Distribution
    
    Measures of Correlation
- Inferential Statistics
  Inferential Statistics
  - Probability Theory
    Probability Theory
    
    Probability
    
    Sampling
    
    Law of Large Numbers
    
    Central Limit Theorem
  - Hypothesis Testing
    Hypothesis Testing
    
    Hypothesis
    
    Testing Principals
    
    Metrics
    
    T-Test
    
    ANOVA
  - Regression Analysis
    Regression Analysis
    
    Linear Regression
Data Science
Data Science
- Home
- Data Preparation & Preprocessing
  Data Preparation & Preprocessing
  - Data preparation
  - Data preprocessing
- Supervised vs. Unsupervised Learning
  Supervised vs. Unsupervised Learning
  - Introduction
Computer Vision
Computer Vision
- Introduction
- Approaches in CV
- Getting Started with YOLO
- Image Processing
  Image Processing
- Video Processing
  Video Processing
  - Introduction
  - Solutions
- Train a Model
  Train a Model