Name: Progress Akpelu
Type: User
Bio: I am a Data Science and AI (MSc.) student at Bournemouth University. A Machine Learning enthusiast interested in Optimisation, Time Series Forecasting, Customer
Twitter: akpeluprogress
Location: Bournemouth, England.
Blog: https://www.linkedin.com/in/progress-akpelu/
Progress Akpelu's Projects
100 Days of ML Coding
This repository is my documenting repository for learning the world of DevOps. I started this journey on the 1st January 2022 and I plan to run to March 31st for a complete 90-day romp on spending an hour a day including weekends to get a foundational knowledge across a lot of different areas that make up DevOps.
Config files for my GitHub profile.
Beginners guide for introducing and training using MeerKAT data
Beginners guide for introducing and training using MeerKAT data
A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks š„
Repository of Jupyter notebooks for NS/PY 357.
Business Analytics Nanodegree - Learn Excel, SQL and Tableau skills. Four reviewed projects to complete. See the projects website below.
Code and data for the book "Case Studies in Neural Data Analysis"
Simulations of neural models and learning algorithms.
Implementation of some of the basic neural models and simulation of interactions between neurons in a population and learning process from scratch in Python.
This project's goal is to wrangle WeRateDogs' Twitter data and produce reliable analyses and visuals. Although it only provides very minimal tweet data, the Twitter archive for more than 5000 of their tweets is great.
Data Engineer with Python lecture notes from #datacamp.
Some of my notebooks of Datacamp courses.
This is about learning data scientist with Python 2019 and some new updated courses in DataCamp. All the answers given written by myself
Repo for the data science salary prediction of the Data Science Project From Scratch
Simulating neurons with Python (INFR11162)
Python labs - part of the school of computer science's Neural Computation module
Examples on numerical optimization
Recipes for using Python's pandas library
Practice your pandas skills!
Resources for Python Crash Course, from No Starch Press.
This data set contains 113,937 loans with 81 variables on each loan, including loan amount, borrower rate (or interest rate), current loan status, borrower income, and many others.
All Algorithms implemented in Python
Files for the Python lecture I give at IA-UNAM
Python Data Science Handbook: full text in Jupyter Notebooks
Twitter for Python!