Data wrangling in R : Vectors, Lists and introduction to Subsetting by Fridah Wanjala
Fridah Wanjala walks learners through Data wrangling in R by introducing subsetting, conditional statements and the apply function of family and loops. Below are the links to resources highlighted in the presentation: RMD file and data sets being used in this session: …
Code Maktaba: Sendy Logistics challenge solution walkthrough in R by Wanjala Frida
Wanjala Fridah offers a solution walkthrough in R on the Sendy Logistics challenge currently hosted on Zindi ( http://bit.ly/sendychallenge). The resources being used in this tutorial can be found on http://bit.ly/datathon26 under the R folder. The following resources, frameworks have been highlighted …
Code Maktaba: Sendy Logistics challenge solution walkthrough in Python by Steven Simba
Steven Simba, one of the top data scientists on Zindi (http://zindi.africa/data_scientists ) offers a solution walkthrough in R on the Sendy Logistics challenge currently hosted on Zindi ( http://bit.ly/sendychallenge). The resources being used in this tutorial can be found on http://bit.ly/datathon26 under …
Code Maktaba: Introducing R and R Studio by Kigen Tembu
This Episode of Code Maktaba by Kigen Tembu offers an introduction to R with a focus on the origin of the programming language, how to get started and basics on R studio. This session was recorded from the Fundamentals in R Code …
Code Maktaba: Data structures in R by Christopher Maronga
Christopher Maronga touches on data structures in R by covering factors, matrices, arrays and lists. This session was recorded from the Fundamentals in R Code Maktaba Workshop by Ai Kenya on June 15th 2019. The slides from this session can be accessed …
Code Maktaba: Approaches to a credit scoring loan default challenge featuring Billy Odera
Billy Odera, a data scientist specialized in credit scoring systems provides insights, approaches and tips on solving the loan default challenge by Data science Nigeria that is hosted on Zindi. About the challenge SuperLender is a local digital lending company, which prides …
Machine Learning Pipeline Walk Through-Mwenda Raini
Mwenda Raini shares on how to approach a prediction problem with the right data scientist mindset. Topics covered include data cleaning & formatting, summary statistics, how to handle missing values, exploratory data analysis (EDA), underfitting, overfitting, multicollinearity, normalization, feature engineering and feature …
Exploring Nairobi Public Transport-Chris orwa
Chris Orwa, Data Scientist at Safaricom Alpha provides insight on how to approach the Nairobi Traffic data problem on Zindi( http://zindi.africa/competitions/traf… ) by exploring Nairobi Public Transport data from digital matatus. He covers topics such as frequentist reasoning, Bayesian reasoning, the German …