Karandeep Singh

@UC7eRNr1Pprls2aU5WWPz15Q - 389 subscribers

Home Videos Live Playlists

13-2 Analyzing Health Text Data - Why Common Words Are Not Useful and How tf-idf Can Help

13-2 Analyzing Health Text Data - Why Common Words Are Not Useful and How tf-idf Can Help Karandeep Singh

268 views - 5 years ago

13-1 Analyzing Health Text Data - Reading in Text Data and Calculating Term Frequencies

13-1 Analyzing Health Text Data - Reading in Text Data and Calculating Term Frequencies Karandeep Singh

310 views - 5 years ago

11-5 Supervised Learning Algorithms - Combining Classifiers

11-5 Supervised Learning Algorithms - Combining Classifiers Karandeep Singh

1.4K views - 5 years ago

11-4 Supervised Learning Algorithms - Review of Supervised Learning Algorithms

11-4 Supervised Learning Algorithms - Review of Supervised Learning Algorithms Karandeep Singh

174 views - 5 years ago

11-3 Supervised Learning Algorithms - Naive Bayes

11-3 Supervised Learning Algorithms - Naive Bayes Karandeep Singh

240 views - 5 years ago

11-2 Supervised Learning Algorithms - Perceptrons and Neural Networks

11-2 Supervised Learning Algorithms - Perceptrons and Neural Networks Karandeep Singh

209 views - 5 years ago

11-1 Supervised Learning Algorithms - Support Vector Machines

11-1 Supervised Learning Algorithms - Support Vector Machines Karandeep Singh

259 views - 5 years ago

10-4 Machine Learning and Missing Data - Diagnosing Missing Values

10-4 Machine Learning and Missing Data - Diagnosing Missing Values Karandeep Singh

263 views - 6 years ago

10-3 Machine Learning and Missing Data - Why Are the Data Missing?

10-3 Machine Learning and Missing Data - Why Are the Data Missing? Karandeep Singh

239 views - 6 years ago

10-2 Machine Learning and Missing Data - The Missing Data Problem In a Nutshell

10-2 Machine Learning and Missing Data - The Missing Data Problem In a Nutshell Karandeep Singh

229 views - 6 years ago

10-1 Machine Learning and Missing Data - Review of Key ML Concepts and Performance Measures

10-1 Machine Learning and Missing Data - Review of Key ML Concepts and Performance Measures Karandeep Singh

315 views - 6 years ago

9-5 Supervised Learning Algorithms - Lazy Learners

9-5 Supervised Learning Algorithms - Lazy Learners Karandeep Singh

537 views - 6 years ago

9-4 Supervised Learning Algorithms - Decision Trees

9-4 Supervised Learning Algorithms - Decision Trees Karandeep Singh

540 views - 6 years ago

9-3 Supervised Learning Algorithms - Evaluation Measures

9-3 Supervised Learning Algorithms - Evaluation Measures Karandeep Singh

380 views - 6 years ago

9-2 Supervised Learning Algorithms - The Majority Baseline

9-2 Supervised Learning Algorithms - The Majority Baseline Karandeep Singh

881 views - 6 years ago

9-1 Supervised Learning Algorithms - What is Supervised Learning?

9-1 Supervised Learning Algorithms - What is Supervised Learning? Karandeep Singh

419 views - 6 years ago

7-6 Interactive Data Analysis - Live Coding - Converting an Rmd Document to an Interactive Document

7-6 Interactive Data Analysis - Live Coding - Converting an Rmd Document to an Interactive Document Karandeep Singh

442 views - 6 years ago

7-5 Interactive Data Analysis - Converting R Markdown Documents into Interactive Shiny Documents

7-5 Interactive Data Analysis - Converting R Markdown Documents into Interactive Shiny Documents Karandeep Singh

938 views - 6 years ago

7-4 Interactive Data Analysis - Live Coding - Converting an R Notebook into an R Markdown Document

7-4 Interactive Data Analysis - Live Coding - Converting an R Notebook into an R Markdown Document Karandeep Singh

550 views - 6 years ago

7-3 Interactive Data Analysis - Converting R Notebooks into R Markdown Documents

7-3 Interactive Data Analysis - Converting R Notebooks into R Markdown Documents Karandeep Singh

490 views - 6 years ago

8-6 Introduction to ML - Step-by-Step Process for Training and Evaluating Models Using Tidymodels

8-6 Introduction to ML - Step-by-Step Process for Training and Evaluating Models Using Tidymodels Karandeep Singh

694 views - 6 years ago

8-5 Introduction to ML - Common Problems with Fitting and Applying Models

8-5 Introduction to ML - Common Problems with Fitting and Applying Models Karandeep Singh

357 views - 6 years ago

8-4 Introduction to ML - Supervised Learning is a Curve-Fitting Exercise

8-4 Introduction to ML - Supervised Learning is a Curve-Fitting Exercise Karandeep Singh

472 views - 6 years ago

8-3 Introduction to ML - Is a Predictive Model Needed and Should You Develop One?

8-3 Introduction to ML - Is a Predictive Model Needed and Should You Develop One? Karandeep Singh

307 views - 6 years ago

8-2 Introduction to ML - Reinforcement Learning and ML vs Stats Terminology

8-2 Introduction to ML - Reinforcement Learning and ML vs Stats Terminology Karandeep Singh

345 views - 6 years ago

8-1 Introduction to ML - Unsupervised and Supervised Learning

8-1 Introduction to ML - Unsupervised and Supervised Learning Karandeep Singh

465 views - 6 years ago

7-2 Interactive Data Analysis - R Tips of the Day - The magic of !!parse_expr()

7-2 Interactive Data Analysis - R Tips of the Day - The magic of !!parse_expr() Karandeep Singh

434 views - 6 years ago

7-1 Interactive Data Analysis - Overview of Content

7-1 Interactive Data Analysis - Overview of Content Karandeep Singh

345 views - 6 years ago

6-8 Hypothesis Testing - Key Lessons

6-8 Hypothesis Testing - Key Lessons Karandeep Singh

245 views - 6 years ago

6-6 Hypothesis Testing - Which Test, Which Plot

6-6 Hypothesis Testing - Which Test, Which Plot Karandeep Singh

943 views - 6 years ago

6-7 Hypothesis Testing - Multiple Hypothesis Testing

6-7 Hypothesis Testing - Multiple Hypothesis Testing Karandeep Singh

351 views - 6 years ago

6-5 Hypothesis Testing - What Common Statistical Tests Should I Know

6-5 Hypothesis Testing - What Common Statistical Tests Should I Know Karandeep Singh

811 views - 6 years ago

6-3 Hypothesis Testing - What is Hypothesis Testing

6-3 Hypothesis Testing - What is Hypothesis Testing Karandeep Singh

288 views - 6 years ago

6-4 Hypothesis Testing - Why a Null Hypothesis and Interpreting a P-Value

6-4 Hypothesis Testing - Why a Null Hypothesis and Interpreting a P-Value Karandeep Singh

339 views - 6 years ago

6-2 Hypothesis Testing - R Tips of the Day - Replacing and Assigning Missing Values

6-2 Hypothesis Testing - R Tips of the Day - Replacing and Assigning Missing Values Karandeep Singh

387 views - 6 years ago

6-1 Hypothesis Testing - Overview of Content

6-1 Hypothesis Testing - Overview of Content Karandeep Singh

285 views - 6 years ago

5-11 Telling Stories with Plots - Exploring Potential Confounders with Plots

5-11 Telling Stories with Plots - Exploring Potential Confounders with Plots Karandeep Singh

296 views - 6 years ago

5-10 Telling Stories with Plots - Exploring the Relationship Between Weight and Blood Pressure

5-10 Telling Stories with Plots - Exploring the Relationship Between Weight and Blood Pressure Karandeep Singh

294 views - 6 years ago

5-9 Telling Stories with Plots - Components of a ggplot - Coordinates, Scales, and Themes

5-9 Telling Stories with Plots - Components of a ggplot - Coordinates, Scales, and Themes Karandeep Singh

323 views - 6 years ago

5-8 Telling Stories with Plots - Components of a ggplot - Positions, Labels, and Facets

5-8 Telling Stories with Plots - Components of a ggplot - Positions, Labels, and Facets Karandeep Singh

362 views - 6 years ago

5-7 Telling Stories with Plots - Components of a ggplot - Geometric Objects and Mappings

5-7 Telling Stories with Plots - Components of a ggplot - Geometric Objects and Mappings Karandeep Singh

411 views - 6 years ago

5-6 Telling Stories with Plots - Graphics with Grammar

5-6 Telling Stories with Plots - Graphics with Grammar Karandeep Singh

370 views - 6 years ago

5-5 Telling Stories with Plots - Tell the Right Story

5-5 Telling Stories with Plots - Tell the Right Story Karandeep Singh

344 views - 6 years ago

5-4 Telling Stories with Plots - Principles of Visualization

5-4 Telling Stories with Plots - Principles of Visualization Karandeep Singh

410 views - 6 years ago

5-3 Telling Stories with Plots - Mini-Lab - Anscombe’s Quartet

5-3 Telling Stories with Plots - Mini-Lab - Anscombe’s Quartet Karandeep Singh

458 views - 6 years ago

5-2 Telling Stories with Plots - R Tips of the Day - Saving Your Workspace and the Plus Sign

5-2 Telling Stories with Plots - R Tips of the Day - Saving Your Workspace and the Plus Sign Karandeep Singh

341 views - 6 years ago

5-1 Telling Stories with Plots - Overview of Content

5-1 Telling Stories with Plots - Overview of Content Karandeep Singh

317 views - 6 years ago

4-5 Formulating a Question - Study Designs and Bias in Observational Studies

4-5 Formulating a Question - Study Designs and Bias in Observational Studies Karandeep Singh

679 views - 6 years ago

4-4 Formulating a Question - Bradford Hill’s Criteria of Causation

4-4 Formulating a Question - Bradford Hill’s Criteria of Causation Karandeep Singh

1.2K views - 6 years ago

4-3 Formulating a Question - Dealing with Confounders

4-3 Formulating a Question - Dealing with Confounders Karandeep Singh

317 views - 6 years ago

4-2 Formulating a Question - What Makes a Health-Related Question Answerable

4-2 Formulating a Question - What Makes a Health-Related Question Answerable Karandeep Singh

338 views - 6 years ago

4-1 Formulating a Question - What Makes a Health-Related Question Important

4-1 Formulating a Question - What Makes a Health-Related Question Important Karandeep Singh

429 views - 6 years ago

3-9 Tidy Data - Reviewing the Old and New Verbs of Data Science

3-9 Tidy Data - Reviewing the Old and New Verbs of Data Science Karandeep Singh

319 views - 6 years ago

3-8 Tidy Data - A Challenging Case of Tidying Office Hours Data

3-8 Tidy Data - A Challenging Case of Tidying Office Hours Data Karandeep Singh

480 views - 6 years ago

3-7 Tidy Data - Separating and Uniting Columns

3-7 Tidy Data - Separating and Uniting Columns Karandeep Singh

415 views - 6 years ago

3-6 Tidy Data - Reshaping Data with spread() and gather()

3-6 Tidy Data - Reshaping Data with spread() and gather() Karandeep Singh

737 views - 6 years ago

3-5 Tidy Data - Joining Data Frames

3-5 Tidy Data - Joining Data Frames Karandeep Singh

516 views - 6 years ago

3-4 Tidy Data - Combining mutate() with if_else() and case_when()

3-4 Tidy Data - Combining mutate() with if_else() and case_when() Karandeep Singh

7.2K views - 6 years ago

3-3 Tidy Data - R Tips of the Day - Dealing with Dates

3-3 Tidy Data - R Tips of the Day - Dealing with Dates Karandeep Singh

489 views - 6 years ago

3-2 Tidy Data - Refresher of data frame verbs

3-2 Tidy Data - Refresher of data frame verbs Karandeep Singh

475 views - 6 years ago