Exploring credit scoring services powered by Machine learning – Steve Guoko
In the first part from the second edition of #AiKenyaSpotlight event, Steve Guoko, operations manager at Loanbee takes us through the credit scoring landscape in Kenya, the challenges Loanbee has experienced and how they are addressing them from a business perspective, regulation …
Machine learning and building blocks of credit scoring systems at Loanbee – Pius Dan
In the second part of the Loanbee spotlight event, Pius Dan, site reliability engineer at Loanbee, covers Credit scoring as a Platform as a service (PaaS) , services and frameworks used to power their technology stack, the information collected by their service …
Building Ai powered trust infrastructure – UTU
“In a networked world, trust is the most important currency” – Eric Schmidt. What role does machine learning have in building a robust and reliable trust infrastructure? In the full version of our first Ai Kenya spotlight event, we engage UTU, a …
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 …
Data analysis with R
Data analysis is the process of systematically evaluating data using analytical and logical reasoning. There are certain computer languages that are essential for this process, and R is one of them. R was developed in the early 90s by Ross Ihaka and …
Introduction to Python-Absolute beginner
This is a hands-on course for an in-depth look at the details of Python layers and concepts. You will get ample practice drills and projects, using Jupyter Notebooks on Azure. After you explore data types and variables, you will take a look …
Micromaster Program in Statistics and Data Science
This course from MIT will equip you with fundamental methods in data science, data analysis and machine learning. You will learn how to analyze big data, make data-driven predictions, and build machine learning algorithms. Resource available at: Statistics and data science …
Predictive Analytics
In this course you will learn how to use predictive analytics tools for real-life business problem analysis and interpret model outputs. You will also learn how to use analytical software tools such as SAS, SPSS and MS Excel. Resource available at: predictive …
