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Derrick Nyaga's Projects

bloodbank2.0 icon bloodbank2.0

Blood Bank Management System is a web-based application that helps manage and track the availability of blood at a blood bank. It allows for blood donation scheduling and blood request/supply management. This helps ensure blood is available when needed and prevents wastage by properly managing the shelf life of donated blood.

customer-churn icon customer-churn

This project used the Bank Customer Churn dataset to explore, analyze and build a model for predicting customer's that churned.The dataset included over 10,000 customer records and variables such as demographic information, account information, and churn status

eye-classification icon eye-classification

The Eye-classification dataset is a collection of images of eyes that have been labeled as either "male" or "female." The dataset includes a total of 1000 images, with 500 images of male eyes and 500 images of female eyes. Each image has been pre-processed to ensure that the eyes are properly aligned and centered in the frame.

fashion-minist icon fashion-minist

Fashion-MNIST (FMNIST) is a dataset of 60,000 28x28 grays cale images of 10 different classes of fashion items, such as shoes and shirts.It consists of a training set of 60,000 images and a test set of 10,000 images

food-recommendation-app icon food-recommendation-app

This is a knowledge based system developed as an Android App that recommends food to be taken according to the disease(s) of the user.

fordgobike icon fordgobike

This project used the Ford GoBike dataset to explore and analyze bike rentals in the San Francisco Bay Area. The dataset included over 1 million bike trips from 2017 to 2019 and variables such as start and end times, start and end stations, trip duration, and user type.

mnist icon mnist

MNIST (Modified National Institute of Standards and Technology database) is a large database of 70,000 handwritten digits. It has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST (National Institute of Standards and Technology).

supervised-learning icon supervised-learning

This project contains code for supervised machine learning algorithms in Python, including linear regression, logistic regression, and SVMs. It includes functions for preprocessing data, selecting features, and optimizing model hyperparameters, as well as examples and sample datasets. The code uses libraries such as scikit-learn, Pandas, and NumPy.

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

tmdb-movies icon tmdb-movies

This project uses the TMDB Movies dataset to explore and analyze data on over 10,000 movies. The dataset includes variables such as movie title, cast, crew, budget, revenue, and genres. The project includes data cleaning, exploratory data analysis, statistical analysis, and visualizations to communicate findings.

twitter-weratedogs icon twitter-weratedogs

This project aims to explore and analyze the Twitter We Rate Dogs dataset, which contains tweets, images, and other information about dogs that have been rated and reviewed by the popular Twitter account @dog_rates. The dataset includes over 23,000 tweets from 2015 to 2017, and includes a variety of variables such as the tweet text, rating etc

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