This is your work, valued

Lagos, Nigeria.

Oluwatobi Adefami

Expert
@Tobiadefami

Machine learning engineering

tobiadefami.github.io

fuxion. Sythetic data generation and normalization functions powered by LLMs

59

six-degrees-of-torvalds. TypeScript

32

R-for-Data-science. data exploration

2

gaussformula. GaussFormula is a headless spreadsheet engine for JavaScript and TypeScript, designed for business and scientific web applications. It is a fork of HyperFormula with a major new feature: native support for Gaussian numbers — values with uncertainty.

2

recommender. AI powered product recommendation system

2

yield-curve. R

1

WQU-Data-Science-Module-1. Jupyter Notebook

1

Time-series. Jupyter Notebook

1

wswp. Code for the second edition Web Scraping with Python book by Packt Publications

1

PySyft. A library for answering questions using data you cannot see

1

Pandas. Jupyter Notebook

1

Age_Calculator. R

1

Natural-language-processing. Jupyter Notebook

1

ML. R

1

Data-Wrangling. Jupyter Notebook

1

deep-learning-v2-pytorch. Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

1

fastbook. The fastai book, published as Jupyter Notebooks

1

Predictive-Modeling. Jupyter Notebook

1

byu_econ_applied_machine_learning. The course work for the applied machine learning course I am teaching at BYU

1

EDA. exploratory data analysis

1

R-programming. Functions, loops, conditional statements

1

wrangling. Data cleaning

1