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absenteeism-analysis

The 'Absenteeism' project helps the business to preserve high productivity in the work area.

acronymexample

alamofiredemore

anova_test

clustering-assignment-data-mining-is-733

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

coredata_swift3

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.

cryptocurrency-lunar-phase-dataset

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.

customer_segmentation

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.

deep-brain-simulation-for-alzheimer-s-patient

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.

deltaprojectxamarin

Created a cross platform app

descriptive-analytics-of-health-data

Problem Statement: You will write programs to perform data processing operations on healthcare and medical datasets.

displaying-starbucks

Displaying Starbucks location within a range from current location

ek-nojor-ios-app

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.

emerging-technology-part-1-webscrapping-with-python

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.

emerging-technology-part-2-featuretools

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

etl-data-project

Extract, Transform, and Load the data

gitdemoth

demonstrating git for ios

gpu_research

Performance evaluation between GPU and CPU.

hackerrank_python

HackerRank's Python programming solution.

honey-production--a-linear-regression-project

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.

linear-regression-model

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

listviewxamarin.droid

This is a Xamarin Native(Android) project on ListView, Adapter and bunch of methods, classes etc

login-app

lstm_rnn

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.

machine-learning-algorithm-to-classify-dna-sequences

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.

machine-learning-in-healthcare

Breast Cancer Detection.

machine-learning-project-for-smart-healthcare

I have demonstrated how to detect breast cancer using Machine Learning. The libraried I have used are: sklearn, numpy, pandas, matplotlib.

machine_learning

machine_learning_classification

Classification technique on a given dataset is applied.

merge-sort-algorithm

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.