babaniyi

analytics-handbook

Getting started with soccer analytics

babaniyi

Github profile

babaniyi.github.io

Blog template

bandits

Algorithms for multiarmed bandits such as e-greedy, thompson sampling, etc.

BCG

Used Random Forest model to predict customers likely to churn and recommended discount and pricing strategies to improve customers retention.

BusinessML

Using ML to solve business questions such as customer metrics, journey, growth and segmentation.

covid_data_nigeria

A python code that scrapes the NCDC website to track the spread of covid-19 in various Nigeria states.

Deep-contextual-bandits

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.

Development-Economics

For Growth and Development Class IDEA, PhD UAB

Metyis

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.

babaniyi/Deep-contextual-bandits

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.

babaniyi/BCG

Used Random Forest model to predict customers likely to churn and recommended discount and pricing strategies to improve customers retention.

babaniyi/babaniyi.github.io

Blog template

babaniyi/BusinessML

Using ML to solve business questions such as customer metrics, journey, growth and segmentation.

babaniyi/Development-Economics

For Growth and Development Class IDEA, PhD UAB

babaniyi/analytics-handbook

Getting started with soccer analytics

babaniyi/babaniyi

Github profile

babaniyi/bandits

Algorithms for multiarmed bandits such as e-greedy, thompson sampling, etc.

babaniyi/covid_data_nigeria

A python code that scrapes the NCDC website to track the spread of covid-19 in various Nigeria states.

babaniyi/DatasetDaily

babaniyi/Metyis

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.

babaniyi/ANZ_Internship

babaniyi/applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

babaniyi/BirthdayReminder

A function that reminds me of an event at a particular time.

babaniyi/Bored-Projects

babaniyi/codility-practice-exercises

babaniyi/Data-Engineering-with-Python

Data Engineering with Python, published by Packt

babaniyi/django_projects

babaniyi/fix-ComputeModelStatistics.scala

Simple and Distributed Machine Learning

babaniyi/gcloud-web-app

babaniyi/handson-ml2

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.

babaniyi/ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

babaniyi/LLM_from_scratch

This repo documents my approach to building LLMs from scratch using basic numpy as opposed to PyTorch

babaniyi/pySpark-learn

Practising PySpark by solving exercises such as email classification, clustering data and pandas equivalent to pySpark.

babaniyi/reinforcement-learning

babaniyi/Skyline-pareto-optimal

Python code to derive the skyline using block-nested loop

babaniyi/stock

A web app built using Streamlit to visualise Apple's stock prices across the years.

babaniyi/towards-data-science-posts-notebooks