Charles Okafor's Projects
Altschool Data Engineering First Semester Exams
Investigate and analyse a dataset of movies with their ratings
Using RESTFUL api to connect home devices
Predict the estimated time it takes to for delivery bikers to deliver good within the Lagos metropolitant state, Nigeria
canBalance function takes an array of numbers and returns true or false based on the following conditions. It returns true if the array can be split at any point with the sum of the numbers on one side equal to the sum of the numbers at the other side. For example, given the array [1, 2, 3, 4, 5, 5], it will return true as the array can be split into [1, 2, 3, 4] and [5, 5] giving a sum of 10 on each side.
Cats Vs Dogs Classification
Simplified cross entropy function in python
This project is to carry out series of data wrangling to produce a fine dataset for further analysis. THough analysis was done here, the focus is much on the data wrangling - generating data, asseessing data, cleaning data
This is a simple function in Python to display the difference in volumes of two cuboids given just their sides as a list
Exploring the features of a potential heard disease
Fraud transactions prediction using decision tree classification with cross vaidation for bias-variance trade-off
Analysis of app downloads on google play store
I designed an algorithm to accurately predict the house prices in India. This is a follow up of the challenge in Kaggle. The link to this solution in Kaggle: https://www.kaggle.com/charlesgasper001/notebookdadab2205d
After learning the concepts of object oriented programming, i built a logic circuit fully implemented in python
Using NASNetLarge to predict the pawpularity of the images of animals
My clone repository
My clone repository
My clone repository
My clone repository
Softmax function was developed to to take care of issues raised with sigmoid function such as what happens when we have more than 2 variables, how do we get the probability of what an outcome is given a set of all possible outcome, etc. Here I developed a simple function that takes a set of values and return their softmax function equivalent. There are many ways to approach this using Python however I will be using a simple algorithm :)
Here, I used the simple Logistic regression to predict those who survived from the Titanic disaster.