Akanksha Kashikar

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AY21-22-STO13 -Lecture 34 - Random Forest

AY21-22-STO13 -Lecture 34 - Random Forest

Akanksha Kashikar

395 views·4 years ago

AY21-22-STO13-Lecture 27 - Categorical Predictors in CART

AY21-22-STO13-Lecture 27 - Categorical Predictors in CART

Akanksha Kashikar

277 views·4 years ago

AY21-22-STO13 - Lecture 8 - Nonparametric Bootstrap

AY21-22-STO13 - Lecture 8 - Nonparametric Bootstrap

Akanksha Kashikar

564 views·4 years ago

STO13 - AY21-22-Lecture 12 - Errors and Model Selection

STO13 - AY21-22-Lecture 12 - Errors and Model Selection

Akanksha Kashikar

435 views·4 years ago

AY21-22-STO13 - Lecture 6 - Basics of Probability Theory

AY21-22-STO13 - Lecture 6 - Basics of Probability Theory

Akanksha Kashikar

548 views·4 years ago

AY21-22- STO13-Lecture 19 - knn using R - Part 1

AY21-22- STO13-Lecture 19 - knn using R - Part 1

Akanksha Kashikar

252 views·4 years ago

AY21-22-STO13 - Lecture 7 - Basics of Inference

AY21-22-STO13 - Lecture 7 - Basics of Inference

Akanksha Kashikar

445 views·4 years ago

AY21-22-STO13-Lecture 22- Introduction to Classification and Regression Trees

AY21-22-STO13-Lecture 22- Introduction to Classification and Regression Trees

Akanksha Kashikar

424 views·4 years ago

AY21-22-STO13 - Lecture 3 - Predictors and Response

AY21-22-STO13 - Lecture 3 - Predictors and Response

Akanksha Kashikar

437 views·4 years ago

AY2122-STO13 - Lecture 2 - Types of Variables

AY2122-STO13 - Lecture 2 - Types of Variables

Akanksha Kashikar

1.6K views·4 years ago

AY21-22- STO13-Lecture 16 - Parametric and Nonparametric Bootstrap in R

AY21-22- STO13-Lecture 16 - Parametric and Nonparametric Bootstrap in R

Akanksha Kashikar

788 views·4 years ago

AY21-22-STO13-Lecture 14 - k Nearest Neighbours - Part 2

AY21-22-STO13-Lecture 14 - k Nearest Neighbours - Part 2

Akanksha Kashikar

336 views·4 years ago

AY21-22-STO13-Lecture 24 - Cost and Complexity in CART

AY21-22-STO13-Lecture 24 - Cost and Complexity in CART

Akanksha Kashikar

694 views·4 years ago

AY21-22-STO13-Lecture 23-Basic Principles of CART

AY21-22-STO13-Lecture 23-Basic Principles of CART

Akanksha Kashikar

573 views·4 years ago

AY21-22-STO13-Lecture 39 - Maximal Margin Classifier

AY21-22-STO13-Lecture 39 - Maximal Margin Classifier

Akanksha Kashikar

256 views·4 years ago

AY21-22-STO13-Lecture 35 - Tackling Multiplicity Issues

AY21-22-STO13-Lecture 35 - Tackling Multiplicity Issues

Akanksha Kashikar

318 views·4 years ago

AY21-22-STO13-Lecture 32 - Multiplicity Issue in Testing of Hypotheses

AY21-22-STO13-Lecture 32 - Multiplicity Issue in Testing of Hypotheses

Akanksha Kashikar

92 views·4 years ago

AY21-22-STO13-Lecture 20 - knn Using R - Part 2

AY21-22-STO13-Lecture 20 - knn Using R - Part 2

Akanksha Kashikar

181 views·4 years ago

AY21-22-STO13-Lecture 4 - Why Data Mining

AY21-22-STO13-Lecture 4 - Why Data Mining

Akanksha Kashikar

475 views·4 years ago

AY21-22-STO13-Lecture 21-CART in Short

AY21-22-STO13-Lecture 21-CART in Short

Akanksha Kashikar

270 views·4 years ago

AY21-22-STO13-Lecture 33 - Bagging

AY21-22-STO13-Lecture 33 - Bagging

Akanksha Kashikar

375 views·4 years ago

AY21-22-STO13- Lecture 31 - Feature Selection 2

AY21-22-STO13- Lecture 31 - Feature Selection 2

Akanksha Kashikar

227 views·4 years ago

AY21-22-STO13-Lecture 11 - Jackknife

AY21-22-STO13-Lecture 11 - Jackknife

Akanksha Kashikar

349 views·4 years ago

AY21-22-STO13-Lecture 40 - Support Vector Classifier

AY21-22-STO13-Lecture 40 - Support Vector Classifier

Akanksha Kashikar

270 views·4 years ago

AY21-22-STO13-Lecture 28 - Miscellaneous issues in CART

AY21-22-STO13-Lecture 28 - Miscellaneous issues in CART

Akanksha Kashikar

237 views·4 years ago

AY21-22-STO13-Lecture 17 - Crossvalidation using R

AY21-22-STO13-Lecture 17 - Crossvalidation using R

Akanksha Kashikar

265 views·4 years ago

AY21-22-STO13-Lecture 25-Handling Missing Data in CART

AY21-22-STO13-Lecture 25-Handling Missing Data in CART

Akanksha Kashikar

295 views·4 years ago

AY21-22-STO13-Lecture 36 - Boosting in Regression Trees

AY21-22-STO13-Lecture 36 - Boosting in Regression Trees

Akanksha Kashikar

319 views·4 years ago

AY21-22-STO13-Lecture 30 - Feature Selection 1

AY21-22-STO13-Lecture 30 - Feature Selection 1

Akanksha Kashikar

290 views·4 years ago

AY21-22-STO13 - Lecture 15 - Comparison of Validation Approaches

AY21-22-STO13 - Lecture 15 - Comparison of Validation Approaches

Akanksha Kashikar

308 views·4 years ago

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