Eve_dev's Projects
This is my second year project , meant to fulfill the requirement for achieving the Bachelor’s degree of Applied Computing at KCA University
my first ADS assignment
my second assignment
This project covers bivariate analysis. I have learned and practiced to analyse two variables simultaneously. I have tried to determine any relationship between two variables. I have used the suicide rates (1985 t0 2016) from kaggle.
This project uses credit card Customer Data to improve market penetration and upgrade the service delivery model.
This project demonstrates my use of various data visualization techniques using the matplolib and seaborn libraries.
This is a project currently under development
This is a Django app that uses Google APIs such as reCAPTURE, maps and waypoints
This a bulk sms alert application powered by Africas' talking API services. It is a collaboration between members of the Faraja team at Africas' talking hackathon. It is currently under development. Stay tuned.
This is a demonstartion of a fraud descalation service for mobile money fraud victims. I'll be using a sms API.
In this code, we will see that it is possible to verify the validity of the discovery of three-letter codons by performing unsupervised ML on the a genetic sequence.
Hypothesis Test for Population Mean
The objective of this project is to carry out hypothesis test as a statistical inference method to determine if the data supports this particular hypothesis:.... Is there enough statistical evidence to conclude that the population mean time spent per day accessing the Internet via mobile device is different from 144 minutes? Using p-value
This is a data analysis project i worked that is formulated in terms of questions with step by step answers for Covid time for effect batch testing
This is my final project, in a project series, meant to fulfill the requirement for achieving the Bachelor’s degree of Applied Computing at KCA University
A project for the Nairobi innovation week 2023 - Africas' talking Hackathon
These are small code snippets that demonstrate the use of pandas and numpy libraries n data science for python.
In this project we aim to generate and visualize the PCA for auto-mpg dataset and extract insights
The objective of this problem is to reduce the number of features by using dimensionality reduction techniques
This is a project that expected me to come up with a pricing model that could effectively predict the price of used cars and help the business in devising profitable strategies using differential pricing.
Source code for my blog post about "How to predict the success of your marketing campaign"