otoosakyidavid Goto Github PK
Name: DAVID OTOOSAKYI
Type: User
Bio: Data Analyst || Data Scientist || Geospatial Analyst || Computational Climate Scientist
Twitter: otoosakyidavid
Location: Global
Name: DAVID OTOOSAKYI
Type: User
Bio: Data Analyst || Data Scientist || Geospatial Analyst || Computational Climate Scientist
Twitter: otoosakyidavid
Location: Global
scikit-learn: machine learning in Python
Code for getting data from social media for your data science projects!
Sex4Grades BBC Africa Eyes Project
A unified toolbox for machine learning with time series
Examples of Spark 3.0
Findings from Stackoverflow 2017
Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP
Data Exploration Using Spark 2.0
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Predicting the likelihood that a given student will pass or not!
A computer algebra system written in pure Python
This is the git repo for the tutorials I have done for Time Series Forecasting by Jason Brownlee
Tweets Sentiment Analysis Project to classify the the polarity of tweets either as ‘Positive’, ‘Negative’, and ‘Neutral' with high accuracy
Exploring Jaccard and Cosine similarities performances then visualising their output using k means and kmeans with pca. Additional input on time series analysis, web scrapping and twitter scrapping.
Analysis of sentiments from tweets.
Python Notebooks for Collecting Tweets and Analyze their text using various text classification and clustering techniques
This is a script for analysis the sentiments of a tweet stream in json format.
This is a script to stream live tweets by a keyword.
Supplemental material for Udacity's "Writing READMEs" course
This repo contains team solo's best solutions for the umoja hackathon, it is the combined effort of Fajamila Oluwadunsin, Okewunmi Paul and Olufemi Victor
The objective of UmojaHack Nigeria 2020 hackathon is to Build a Classification model that classifies a customer if that customer will submit a vehicle insurance claim within the first three months.This hackathon was hosted by AXA insurance Nigeria and will help it make better decision regatding customers and their tendencies of submitting a claim within the first three months of issuance. This Hackathon was hosted on Zindi Africa. This solution was ranked 11th on the final leaderboard
The objective of this hackathon is to develop a predictive model that determines if a customer will submit a claim within 3 months from their first transaction.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.