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#Categorical Variables

Showing: 10 courses

Regression Series

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Comprehensive exploration of regression analysis, covering key concepts, advanced techniques, and model assumptions for data-driven decision-making.
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10 Lesons
4 hours 30 minutes
On-Demand
Free-Video

Linear Regression in R

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Comprehensive guide to linear regression in R: model fitting, assumption checking, interpretation, categorical variables, interactions, and advanced techniques for effective data analysis.
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12 Lesons
1 hour 30 minutes
On-Demand
Free-Video
Richard McElreath

Statistical Rethinking 2022 - Categories, Curves & Splines

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Explore statistical concepts like categorical variables, contrasts, and splines. Learn Bayesian causal inference and polynomial models for advanced data analysis and modeling techniques.
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11 Lesons
1 hour 17 minutes
On-Demand
Free-Video
Alan Turing Institute

In-Database Factorised Learning - Professor Dan Olteanu

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Explore in-database factorised learning techniques for efficient data analysis and machine learning, covering integration approaches, advantages, and practical applications in relational databases.
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30 Lesons
1 hour
On-Demand
Free-Video
Medicosis Perfectionalis

Types of Variables - Numerical vs. Categorical, Discrete vs. Continuous, Ordinal vs. Nominal

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Comprehensive overview of variable types in statistics, covering numerical and categorical classifications, with explanations of discrete, continuous, ordinal, and nominal variables.
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1 Lesons
12 minutes
On-Demand
Free-Video
Wrath of Math

Conditional Distributions of Categorical Variables in Statistics

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Explore conditional distributions of categorical variables through examples and charts. Learn to determine associations between variables and interpret data effectively.
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10 Lesons
14 minutes
On-Demand
Free-Video
Wrath of Math

Two Way Tables and Marginal Distributions in Statistics

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Explore two-way tables and marginal distributions in statistics. Learn to analyze categorical variables, use percentages, and create bar charts for data interpretation.
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8 Lesons
14 minutes
On-Demand
Free-Video
Open Data Science

Prepping Data for Analysis Using R

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Learn techniques for preparing data for analysis using R, covering common issues, automated solutions, and practical demonstrations for handling missing values and categorical variables.
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29 Lesons
1 hour 34 minutes
On-Demand
Free-Video
1littlecoder

Kaggle 30 Days of ML - Day 12 - Missing Values and Categorical Variables

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Explore missing values and categorical variables in machine learning, learning practical approaches to handle data imperfections and enhance model performance.
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1 Lesons
50 minutes
On-Demand
Free-Video
Abhishek Thakur

Entity Embeddings for Categorical Variables

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Learn to implement entity embeddings for categorical variables using TensorFlow/Keras, with a focus on converting the model to PyTorch. Practical application using Kaggle competition data.
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10 Lesons
35 minutes
On-Demand
Free-Video