Name: johnbull owenvbugie
Type: User
Bio: Hi, Iām Johnbull, A digital marketer and a data scientist who loves using information and facts in helping individuals and businesses make an informed decision
Twitter: OwenvbugieJ
Location: Benin City, Edo State, Nigeria
johnbull owenvbugie's Projects
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
:mortar_board: Path to a free self-taught education in Computer Science!
Open Source Introductory Systems Programming Textbook for the University of Illinois
Data Mining - University of Illinois at Urbana-Champaign
:bar_chart: Path to a free self-taught education in Data Science!
10 Weeks, 20 Lessons, Data Science for All!
R's data.table package extends data.frame:
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
Free resources for learning data science
Advanced Data Science, University of Illinois Spring 2017
Book on Julia for Data Science
š„ļø CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
The python version of the lab exercises from the coursera class Foundation of marketing analytics.
Foundations of Marketing Analytics - ESSEC Business school via Coursera.org. Customer segmentation and clustering
In-Database Machine Learning
The code from the Machine Learning Bookcamp book and a free course based on the book
the project aims to utilize the use of SQL to investigate the relational sample database of postgressql
All course files for the Mobterest [ OpenAI Codex + Flutter course tutorial ] on YouTube.
Examples and guides for using the OpenAI API
GitHub project (Project 3) repository for PDSND
š Guides, papers, lecture, notebooks and resources for prompt engineering
Git Repository
R for data science: a book
A repository of R usage tips for data cleaning, data mining, data visualisation, statistical inference and machine learning