Search for tag: "rows"

IDS - Week 10 - 03 - AE - The Office, Part 1

Predicting IMDB ratings of The Office episodes. Part 1 of 2: Data preparation and feature engineering.

From  Mine Cetinkaya-Rundel on November 23rd, 2020 0 likes 6 plays 0  

CL - 11c - CNF by KM (I)

Description Pending

From  Haoran Peng on November 12th, 2020 0 likes 214 plays 0  

CL - 6e - DNF

More on blocks of ones (which correspond to conjunctions of literals).This video shows how to use a Karnaugh map to represent an arbitrary Boolean function of four variables as a disjunctive normal…

From  Haoran Peng on October 24th, 2020 0 likes 393 plays 0  

CL - 6d - Karnaugh Maps III

More on blocks of ones (which correspond to conjunctions of literals).

From  Haoran Peng on October 24th, 2020 0 likes 382 plays 0  

IDS - Week 05 - 05 - Recoding data

Review of data import, data types, and classes with a case study involving recoding data

From  Mine Cetinkaya-Rundel on October 12th, 2020 0 likes 21 plays 0  

IDS - Week 03 - Code along

The data come from [TidyTuesday](https://github.com/rfordatascience/tidytuesday/blob/master/data/2020/2020-09-29/readme.md). TidyTuesday is a weekly social data project for the R community. Read more…

From  Mine Cetinkaya-Rundel on October 8th, 2020 0 likes 10 plays 0  

IDS - Week 03 - 05 - Working with multiple data frames

We have multiple data frames and we want to bring them together using dplyr join functions

From  Mine Cetinkaya-Rundel on October 5th, 2020 0 likes 36 plays 0  

IDS - Week 03 - 04 - Working with a single data frame

We have a single data frame and we want to slice it, and dice it, and juice it, and process it using dplyr functions

From  Mine Cetinkaya-Rundel on October 5th, 2020 0 likes 57 plays 0  

IDS - Week 03 - 02 - Tidy data

What makes data tidy and why do we care?

From  Mine Cetinkaya-Rundel on October 5th, 2020 0 likes 42 plays 0  

IDS - Week 02 - 03 - Visualising data with ggplot2

Syntax and specifics of visualising data with ggplot2

From  Mine Cetinkaya-Rundel on September 28th, 2020 0 likes 39 plays 0  

IDS - Week 02 - 02 - Data and visualisation

Introduction to visualising data in R

From  Mine Cetinkaya-Rundel on September 28th, 2020 0 likes 78 plays 0  

Why do we need Numpy and Pandas?

Short explanation about the role of numpy and pandas in scientific computing

From  Mark Naylor on April 28th, 2020 0 likes 11 plays 0  

False Positives and False Negatives

False Positives and False Negatives

From  Nigel Goddard on September 21st, 2016 0 likes 1,908 plays 0