Name: Mohammadu_Ilyas
Type: User
Company: Federal University of Technology, Minna
Bio: Data Analyst | Data Scientist | AI & ML
Twitter: gbekoilias
Location: Gidan Kwano, Minna, Niger State
Blog: https://gbekoilias.github.io/
Mohammadu_Ilyas's Projects
This is a 30-Day SQL Challenge.
Contributing to cutting-edge open-source projects in Machine Learning hosted my MLSA Nigeria
In this challenge, I trained a classification model to analyze the chemical and visual features of wine samples and classify them based on their cultivar (grape variety).
This project aims to study Biodiversity Preservation- for conservation, and ecosystem health.
Creating folders, gathering info, compiling Word doc, emailing prof. Practical IT skills.
Corrosivity Index and Streamflow data analysis and machine learning algorithim
Credit Card analysis by segmentation to define marketing strategy
Analysis of a digital music hold database to gain insights of various implications. db_PostgreSQL_pgadmin4
Flights Data Exploration Challenge (My Contribution)
Config files for my GitHub profile.
My Personal Portfolio Website
The Challenges Repository is a collection of data analysis challenges, showcasing diverse methodologies and techniques. Each challenge folder contains an Excel file with the dataset and a README explaining the problem statement and analysis approach. Collaboration and feedback are encouraged to enhance the quality of the challenges.
Topic: Climate-Resilience Farming Practices
In this challenge I tried to extract link to learning resources from Microsoft Learn from a dirty and raw data of .txt format
🔥 The Complete Customizable Software Developer Portfolio Template which lets you showcase your work and provides each and every detail about you as Software Developer.
documentations of my journey of data exploration at MeriSkill Technologies
Comprehensive analysis of On The Beach Group PLC including strategic, financial, and ESG perspectives for investment decision-making.
Pyspark Group Project
Analyzed 2.5k Ramen Reviews to uncover market insights: Japan & South Korea dominate, US has unique opportunity in bar/can formats. Used Power Query Editor & Jupyter Notebook for data cleaning/analysis. Visualized data through pivot charts/tables
Predicting the selling price of a residential property depends on a number of factors, including the property age, availability of local amenities, and location.
All analysis done using Python and Stata