oluwadara-adepoju Goto Github PK

autoinland-vehicle-insurance

The objective is to develop a predictive model that determines if a customer will submit a claim within 3 months from their first transaction.is to develop a predictive model that determines if a customer will submit a claim within 3 months from their first transaction.

banking_sys

budget_app-class

This is a class created for a budget app, the user can create a category, make deposits, withdrawal and transfer money.

car-price-prediction

car_price_predictor

crud_django_project

Website created using Django.

default_

diabetes

extracting-tweets-from-twitter

Using the twint python package to mine/extract data from Twitter

first_django-webpage

fylo_project

game-of-thrones

Descriptive analysis on one of the most watched TV series books 'Game of thrones'

git-tutorial-

A brief tutorial on git

hands-on-data-analysis-with-pandas

Materials for following along with Hands-On Data Analysis with Pandas.

hey-what-s-up-yall-

hospital-location-app

indabax-gdss

Building a predictive model

insurance

introduction-to-machine-learning

This repo will house all our course material and code snippets from the Introduction to Machine Learning Class

oluwadara-adepoju-

Config files for my GitHub profile.

oluwadara-s-portfolio

Data Analytics Portfolio

opencv

A simple Image processing Project

python-updates

Hello,Everyone! i just upgraded my python to 3.10 in this repo, I'm going to be sharing the new features that i have discovered

python_tutorials

I am currently working as a Data science Instructor in Python, I teach my students with python

scamp-_repository

A descriptive visualization on Amazon's top selling books from 2009-2019

sidehustle-task-3

silicon-valley-artificial-intelligence

Building a predictive model that will predict the literacy rate of a popuation

tmdb-analysis

trail_blazer

The objective of this challenge is to accurately model the target indicator using the predictive variables provided in the datasets. For the purposes of this competition, we have split the wards into a train and test set. You will train your model on the 2,822 wards in the train set and apply your model to the 1,013 wards in the test set.

tribute

a tribute html page