Francis Emmanuel Nweke's repositories
Digital-Agriculture
Recently we have observed the emerging concept of smart farming that makes agriculture more efficient and effective with the help of high-precision algorithms. The mechanism that drives it is Machine Learning — the scientific field that gives machines the ability to learn without being strictly programmed. It has emerged together with big data technologies and high-performance computing to create new opportunities to unravel, quantify, and understand data intensive processes in agricultural operational environments.
A-Path-Finding-Visualization
A python visualization of the A* path finding algorithm. It allows you to pick your start and end location and view the process of finding the shortest path.
api-service-java-demo
An API service written in Java
CV-Lab
This is a computer vision laboratory.
login-form
A program for user management, generate Bar & QR codes and CPU Process Simulator.
MLP-Algorithm
A multilayer perceptron built with Tensorflow (Keras) for classification problems.
tic-tac-toe
Tic-Tac-Toe written in C# using .Net Framework.
Automated-Teller-Machine
An automated teller machine implemented as a console application.
CarChecker
A sample Blazor WebAssembly application that includes authentication, in-browser data storage, offline support, localization, responsive layouts, and more. For a video walkthrough, see this link:
ChatBot
An online store chatbot built with machine learning.
cognitive-services-quickstart-code
Code Examples used by the Quickstarts in the Cognitive Services Documentation
color-detector
A program written in python that identifies the RGB composition of a color.
CPU-Simulator-GUI
A GUI program with a CPU simulator, QR code and barcode generator.
Customer-Churn-Prediction
For this exercise, we are going to use classification models to predict customer churn.
Customer-Segmentation
Customer segmentation is a method for grouping customers into similar clusters.
Handwritten-Digit-Recognition
MNIST handwritten digit classification
Identify-the-Apparels
Fashion MNIST is a drop-in replacement for the very well known, machine learning hello world - MNIST dataset which can be checked out at ‘Identify the digits’ practice problem. Instead of digits, the images show a type of apparel e.g. T-shirt, trousers, bag, etc. The dataset used in this problem was created by Zalando Research.
KNN-Algorithm
KNN algorithm implemented from scratch (without the keras python library).
RNN-LSTM-GRU-Algorithms
Recurrent Neural Network, Long Short-Term Memory and Gated Recurrent Unit Algorithms. These natural language processing algorithms are used to process sequential data.
Sentiment-Analysis
Sentiment Analysis is a form of text analytics that uses natural language processing (NLP) and machine learning.
starter-hugo-research-group
👥 轻松创建研究组或组织网站 Easily create a stunning Research Group, Team, or Business Website with no-code
Statistical-Regression-Analysis
In this session, we have applied regularized linear regression and regularized support vector regressor models to predict the quality of a red wine. Also, the performance and interpretability of these models are explored in the exercise.
Text-Summarization
We explore extractive and abstractive summarization using natural language processing (NLP). Extractive summarization is the strategy of concatenating extracts taken from a corpus into a summary, while abstractive summarization involves paraphrasing the corpus using novel sentences.
TicTacToe-Game
Tic Tac Toe Game developed with python 3.