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Name: Al Amin
Type: User
Company: HRSA
Bio: Data Scientist
Location: Maryland, USA
Name: Al Amin
Type: User
Company: HRSA
Bio: Data Scientist
Location: Maryland, USA
The 'Absenteeism' project helps the business to preserve high productivity in the work area.
I have applied KMeans clustering algorithm on pre breakfast and post supper data to predict whether or not a patient has normal blood glucose readings
It's a login App. This app check initially if the user is logged in, if so it will display a welcome message. If the user not logged in, the app will display a textfield and button to allow the user to enter their username.
I worked with a raw dataset from Kaggle on 'Daily Cryptocurrency and Lunar Geocentric Data'. I have preprocessed the dataset into a clean one to come up with a better model as I would like to predict the price and find the correlation between cryptocurrency and lunar phases.
Problem Statement: An fashion/apparel start up would like to launch their products. Hence, to increase the sale, and for profit maximisation, it is important to understand customer buying patterns. Moreover, we must leverage the data to find out potential buyers for the products.
In this project I motivated by a hypothesis by a research team from University of Toronto that a particular area of the human brain named 'Fornix' is responsible for increasing memory in the brain and this may be a potential clinical cure for affected brain cell like Alzheimer's patient. Alzheimer's patient suffer from declination of memory. Alzheimer's disease can be clinically healed(not fully-cured though) by applying Deep Brain Stimulation for the patients are in early Alzheimer's disease. My quest to find various features and factors and give accurate prediction by building various Machine Learning model and Artificial Neural Network to detect early Alzheimer's patient, hence, help them to undergo Deep Brain Simulation(DBS) process for Alzheimer's treatment.
Created a cross platform app
Problem Statement: You will write programs to perform data processing operations on healthcare and medical datasets.
Displaying Starbucks location within a range from current location
Ek Nojor is an iOS app, written in Swift 5. This app is a news aggregator app, an one stop shop for the news reader. The API will fetch the data from various news paper to show them(news) in the app.
I have scrapped the content from a property website using Beautiful Soup, which is a Python library. The scraped data is then dumped into a CSV file to make a simple dataset to perform some data mining task.
In this exercise I performed feature engineering using a Python open source library named 'Featuretools'. Featuretools automate the feature engineering, thus yields quality features to build better machine learning model
Extract, Transform, and Load the data
demonstrating git for ios
Performance evaluation between GPU and CPU.
HackerRank's Python programming solution.
Honeybees that produce honey are declining at an alarming rate, I want to investigate this decline and how the trends of the past predict the future for the honeybees.
I have created a very Simple Linear Regression on a dataset. Here the regressor object is the machine which predicts on training and testing observation
This is a Xamarin Native(Android) project on ListView, Adapter and bunch of methods, classes etc
In this project, I have predicted the upward and downward trend in stock price of Google. I have build a LSTM model to handle this task.
I have import the data from uci repository which is a real-world data, I converted the text input into numerical data which can be used in machine learning algorithm.
Breast Cancer Detection.
I have demonstrated how to detect breast cancer using Machine Learning. The libraried I have used are: sklearn, numpy, pandas, matplotlib.
Classification technique on a given dataset is applied.
Merge Sort is a popular algorithm, the main concept is to split the array into single element and then again sort and merge until it gets down to a single array of ordered lists.
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.