Language Breakdown
Lines of code distribution across 30 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
Collaboration Network
Global Impact visualization
Repos
50
PRs
0
Growth
+18%
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Coding Streak
Contribution activity over the past year
valeman
@valeman
DrHB
@DrHB
Bojan Tunguz
@tunguz
Richard Deliha
@RichardDeli
Nikhil Kumar Mishra
@nikhilmishradevelop
Top Repositories
This challenge was designed by Data Science Nigeria specifically for the DSN Bootcamp 2018, which takes place 19-24 November 2019. Welcome to the DSN participants! After the Bootcamp, this competition will remain open to allow others in the Zindi community to learn and test their skills. Description of the challenge: Recently, there has been an increase in the number of building collapse in Lagos and major cities in Nigeria. Olusola Insurance Company offers a building insurance policy that protects buildings against damages that could be caused by a fire or vandalism, by a flood or storm. You have been appointed as the Lead Data Analyst to build a predictive model to determine if a building will have an insurance claim during a certain period or not. You will have to predict the probability of having at least one claim over the insured period of the building. The model will be based on the building characteristics. The target variable, Claim, is a: 1 if the building has at least a claim over the insured period. 0 if the building doesn’t have a claim over the insured period.
Udacity data visualization project : Investigate and analyze a dataset provided by Ford
Investigate a dataset with 14 features and 100k+ records to observe trends between features and how frequent they show up for appointment
using java for telephone directory console application
Practically deep learning!
Data and ipython notebook for my talk at Scipy2014.
An autonomous multi-agent system for SEO content creation. Features a modular architecture with specialized agents for SERP scraping, topic clustering, and structured outline planning powered by the Hugging Face Router API.
A production-ready NLP service designed to classify social media text into three categories: Negative, Neutral, and Positive
A YouTube video analysis agent powered by Google Flan-T5 for summarization and critique, and DistilBERT (SST-2) for sentiment analysis via Hugging Face.
A real-time facial emotion detector built with Python, Flask, OpenCV, and DeepFace. Streams live webcam analysis to a web interface.
Open Source Impact
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