Course details
Duration : 2 Weeks
Lectures : 11
Level : Intermediate
- Description
- Curriculum
- Reviews
- 11.Machine Learning pipeline walk through
- 22. Exploring Nairobi Public Transport,
- 33. Code Maktaba: Approaches to a credit scoring loan default challenge
- 44. Introducing R and R studio
- 55. Sendy Logistics challenge solution walkthrough in R
- 66. Sendy Logistics challenge solution walkthrough in Python
- 77. Data wrangling in R : Vectors, Lists and introduction to Subsetting
- 88. Data wrangling in R 2.0 : Subsetting, vectors , lists and conditional statements
- 99. Ai Kenya Show and Tell : Building Kenyan Language Datasets
- 1010. Breaking into MLOps : Ai Kenya Expert Talk Event Recording
- 1111. Entrepreneurship in AI Guest Lecture
Please, login to leave a review


