davidpraise45

David Praise Chukwuma Kalu's repositories

Audio-Signal-Processing

Removing background noise in a sound file

Language:Python61 2 3

Heterogeneous-Information-Resources-Handler

A web application that let's the clients, perform crud operations on a multi-dimensional database, create documents in form of json using (mongo), as well as visualizing the relationships between tables in Graph(Neo4j)

Language:CSS100

Queue

Programming a Queue From Scratch.

Language:Java100

Statistical-Analysis-on-Car-Price-Prediction

Language:Jupyter Notebook1 10

Arduino

Creative projects done using Arduino

Language:C++010

backtobackswe

Code Examples For Back To Back SWE Lessons

Language:Java000

Calculator

A command line calculator program

Language:C000

Digit-Recognizer

Applying machine learning algorithms to the digit recognizer dataset

Language:Jupyter Notebook000

Car-adminstration-system

A car adminstration system which tracks of each automobile sold to a specific buyer.

Language:TypeScript010

Circle

A program that allows you to add circles into a file ( ID, X-coor, Y-coor, Radius, Area), with additional functionality to print out, sort, find the smallest area, check if two circles intersect, check all the circles contained within that circle details entered.

Language:C000

Connect-Four

It requires two players and to win the game you must be the first player to get four of your symbol in a row either horizontally, vertically, or diagonally. It also enables a player to save the game during game play (Number 0), find previous saved games either by an 'ID' or by a 'Players_Name' and to load an existing saved game and continue playing.

Language:C000

Data-Science-Nigeria-Staff-Promotion-Algorithm

Using machine learning make predictions if an employee is likely to be promoted or not

Language:Jupyter Notebook010

Dataset

Here are a list of experimental datasets used when getting started with data science.

010

DatathonIBM

Credit risk prediction model for large logistics & distribution company. The idea behind the solution was to use the Altman Z credit score in order to turn the unsupervised into semi-supervised problem, and then apply self-training methods.

Language:Jupyter Notebook000