Data Science with Harsha

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Data Science with Harsha

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- Table of Contents
- Visualization
  Visualization
- Math basics
  Math basics
- Hypothesis Testing
  Hypothesis Testing
- Factor Analysis
  Factor Analysis
  - Curse of dimensionality
  - Exploratory factor analysis (R)
- Preprocessing data
  Preprocessing data
- Prediction algorithms
  Prediction algorithms
  - Classification Algorithms
    Classification Algorithms
    
    Logistic Regression (R)
    
    CHAID Decision Trees (R)
    
    CART Classification (R)
  - Regression Algorithms
    Regression Algorithms
    
    Part and partial correlation
    
    Linear Regression (R)
    
    Lasso and Ridge regression (Python)
- Machine Learning
  Machine Learning
- Time Series forecasting
  Time Series forecasting
- Deep learning
  Deep learning
- Generative AI
  Generative AI
- Prescriptive Analytics
  Prescriptive Analytics
- Clustering
  Clustering
- Reinforcement Learning
  Reinforcement Learning
- Networks
  Networks
- Deployment
  Deployment
- Career lessons
  Career lessons
  - Learnings from failures
  - Making ML Consumable
- Higher education review
  Higher education review
  - IIMB BAI
  - Part-time DS masters
- External blogs
  External blogs
- Projects
  Projects

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