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✨ Real-life Data Analysis and Model Training Workshop by Global AI Hub.

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🎓 Data Analysis and Model Training Course by Global AI Hub

Syllabus:

Day 1

  • What is Data?

  • Multimedia

  • Structured and Unstructured Data

  • Data Types

  • Data Visualization

    • What is Visualization?
    • Tufte's 6 Principle
    • Visualization Types
      • Line Plot
      • Scatter Plot
      • Bar Plot
      • Histogram
      • Pie Charts
      • Heatmap
      • Box Plot
      • Kartil Nedir? Nasıl Hesaplanır?
      • Joint Plot
      • KDE(Kernel Density Estimate)
  • Statistics

    • Descriptive Statistics Concepts
    • The Concept of Skewness
    • Correlation and Correlation Matrix
    • The Simpsons Paradox
    • Anscombe Quartet
    • Data Distribution and Hypothesis Testing
  • Data Distribution

    • Data and Distribution
    • Gaussian(Normal) Distribution
    • t-Distribution
    • Degrees of Freedom
    • Bernoulli's Distribution
    • Exponential Distribution
  • Application

    • Pandas Revision
    • Introduction to Data Preprocessing with Pandas

Day 2

  • Hypothesis Tests

    • Basic Hypothesis testing
    • P value
    • T test
    • Z test
    • Chi-square (Chi-Square) Test
    • Errors in Hypothesis Testing
  • Data Cleaning

    • The 68-95-99.7 Rule and 3 Sigma
    • Outlier, Missing and Duplicate Data and their Detection
    • Z-Score
    • Handling missing values
    • Null vs NaN
    • Pandas Functions for missing values
    • Dimensionality Reduction
    • PCA (Principal Component Analysis)
    • Collinearity (Multiple Linear Connection
  • Data Transformation

    • Data Conversion Techniques
      • round
      • Scaling
      • Label Encoding
      • One Hot Encoding
      • Stack
      • melt
      • Shorts
      • Feature Engineering
  • Data Augmentation

    • Aggregation Functions
  • Application

    • Data Visualization with Seaborn
    • Data Preprocessing with Pandas

Day 3

  • ML Review

    • What is Machine Learning?
    • Supervised Learning
    • Unsupervised Learning
    • Errors That May Be Encountered in Model Training
    • Tools Used in Data Analysis and Machine Learning
    • End-to-End Machine Learning Project Steps
  • Application

    • Training An End-to-End ML Model with a Real Dataset

Certification

The course completion is certified.

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✨ Real-life Data Analysis and Model Training Workshop by Global AI Hub.

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