Dominic Nyambane's Projects
full ml course
A practical implementation of sign language estimation using an LSTM NN built on TF Keras.
using adaboost algorithm and randomsearch to optimise the hyperparameters of Artificial neural network
Learn to create & deploy a deep learning algorithm into a production REST API microservice using Python, Keras, FastAPI, & NoSQL.
airbnbclone using django web framework
airbnb clone
this project can be used in game development. it shows how trajected objects behave when they are thrown. a bullet in a game can behave this way
data structures and algorithms in javascript/ interview practices
Autonomously Learning Systems - Assignment 1
Set of Angular challenges to practise and train on Angular
learning angular
This is all You need to know about Dominic Nyambane
this is a mobile app made using flutter
beat app is a music app made with python tkinter library. the app is configured and ready for installation for windows users
Best flutter templates 2021 , e-commerce, chats, delivery, ui
big data using apache spark
this is a django based project. users can create their own accounts and posts
A full stack blog application made using redwood js
bookmarks web app using django
this is webscraper build using django. it scrapes for book online through provided links
Differentiate Cassava leaf diseases from a healthy one with a solution as simple as pip install cassava-classifier. 🍃🍂
This project aims to classify authentic images of leaves of Cassava into four disease categories or a fifth category indicating a healthy leaf.
Training a model to classify different cassava leaf disease images
Car Sales Chatbot: A Django-based web application leveraging Celery for asynchronous task handling, offering an intuitive chatbot interface for assisting users with car sales inquiries. Utilizes Docker for streamlined deployment and scalability.
this is a project to help learn more on how go with classification using the mnist datset. the project is done using scikit learn
training a classifier model using pytorch to differentiate between different features, aeroplanes, frogs, cats
clustering and classification on WDI indicators and covid 19
Implementing an agent to play connect four using q learning
this is an arcade game made using python pygame library