Name: Babaniyi Olaniyi
Type: User
Bio: Keywords: DS, ML, RecSys, Experimentation, Forecasting
Location: Barcelona, Spain
Blog: http://babaniyi.com
Babaniyi Olaniyi's Projects
Getting started with soccer analytics
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Github profile
Blog template
Algorithms for multiarmed bandits such as e-greedy, thompson sampling, etc.
Used Random Forest model to predict customers likely to churn and recommended discount and pricing strategies to improve customers retention.
A function that reminds me of an event at a particular time.
Using ML to solve business questions such as customer metrics, journey, growth and segmentation.
A python code that scrapes the NCDC website to track the spread of covid-19 in various Nigeria states.
Data Engineering with Python, published by Packt
A benchmark to test decision-making algorithms for contextual-bandits. The library implements a variety of algorithms (many of them based on approximate Bayesian Neural Networks and Thompson sampling), and a number of real and syntethic data problems exhibiting a diverse set of properties.
For Growth and Development Class IDEA, PhD UAB
Simple and Distributed Machine Learning
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
I provide a recommendation about the type of movies a film production company would have to do if the box takings and profit have to be maximized.
Practising PySpark by solving exercises such as email classification, clustering data and pandas equivalent to pySpark.
Python code to derive the skyline using block-nested loop
A web app built using Streamlit to visualise Apple's stock prices across the years.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent