Pinned Repositories
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.
Extracting-tweets-from-Twitter
Using the twint python package to mine/extract data from Twitter
Game-of-Thrones
Descriptive analysis on one of the most watched TV series books 'Game of thrones'
IndabaX-GDSS
Building a predictive model
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
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.
WiD-Datathon-2020
he WiDS Datathon 2022 focuses on a prediction task involving roughly 100k observations of building energy usage records collected over 7 years and a number of states within the United States. The dataset consists of building characteristics (e.g. floor area, facility type etc), weather data for the location of the building (e.g. annual average temperature, annual total precipitation etc) as well as the energy usage for the building and the given year, measured as Site Energy Usage Intensity (Site EUI). Each row in the data corresponds to the a single building observed in a given year. Your task is to predict the Site EUI for each row, given the characteristics of the building and the weather data for the location of the building. You are provided with two datasets: (1) the training dataset where the observed values of the Site EUI for each row is provided and (2) the test dataset where we withhold the observed values of the Site EUI for each row. To participate in the Datathon, you will submit a solution file containing the predicted Site EUI values for each row in the test dataset. The predicted values you submit will be compared against the observed Site EUI values for the test dataset and this will determine your standing on the Leaderboard during the competition as well as your final standing when the competition closes.
Oluwadara-Adepoju's Repositories
Oluwadara-Adepoju/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.
Oluwadara-Adepoju/WiD-Datathon-2020
he WiDS Datathon 2022 focuses on a prediction task involving roughly 100k observations of building energy usage records collected over 7 years and a number of states within the United States. The dataset consists of building characteristics (e.g. floor area, facility type etc), weather data for the location of the building (e.g. annual average temperature, annual total precipitation etc) as well as the energy usage for the building and the given year, measured as Site Energy Usage Intensity (Site EUI). Each row in the data corresponds to the a single building observed in a given year. Your task is to predict the Site EUI for each row, given the characteristics of the building and the weather data for the location of the building. You are provided with two datasets: (1) the training dataset where the observed values of the Site EUI for each row is provided and (2) the test dataset where we withhold the observed values of the Site EUI for each row. To participate in the Datathon, you will submit a solution file containing the predicted Site EUI values for each row in the test dataset. The predicted values you submit will be compared against the observed Site EUI values for the test dataset and this will determine your standing on the Leaderboard during the competition as well as your final standing when the competition closes.
Oluwadara-Adepoju/banking_sys
Oluwadara-Adepoju/Budget_app-class
This is a class created for a budget app, the user can create a category, make deposits, withdrawal and transfer money.
Oluwadara-Adepoju/Car-Price-Prediction
Oluwadara-Adepoju/Extracting-tweets-from-Twitter
Using the twint python package to mine/extract data from Twitter
Oluwadara-Adepoju/Game-of-Thrones
Descriptive analysis on one of the most watched TV series books 'Game of thrones'
Oluwadara-Adepoju/IndabaX-GDSS
Building a predictive model
Oluwadara-Adepoju/Python_Tutorials
I am currently working as a Data science Instructor in Python, I teach my students with python
Oluwadara-Adepoju/SCAMP-_repository
A descriptive visualization on Amazon's top selling books from 2009-2019
Oluwadara-Adepoju/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.
Oluwadara-Adepoju/car_price_predictor
Oluwadara-Adepoju/CRUD_django_project
Website created using Django.
Oluwadara-Adepoju/Diabetes
Oluwadara-Adepoju/First_django-webpage
Oluwadara-Adepoju/Fylo_project
Oluwadara-Adepoju/Git-tutorial-
A brief tutorial on git
Oluwadara-Adepoju/Hands-On-Data-Analysis-with-Pandas
Materials for following along with Hands-On Data Analysis with Pandas.
Oluwadara-Adepoju/Hey-What-s-up-yall-
Oluwadara-Adepoju/hospital-location-app
Oluwadara-Adepoju/Introduction-to-Machine-Learning
This repo will house all our course material and code snippets from the Introduction to Machine Learning Class
Oluwadara-Adepoju/Oluwadara-Adepoju-
Config files for my GitHub profile.
Oluwadara-Adepoju/Oluwadara-s-portfolio
Data Analytics Portfolio
Oluwadara-Adepoju/OpenCv
A simple Image processing Project
Oluwadara-Adepoju/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
Oluwadara-Adepoju/sidehustle-task-3
Oluwadara-Adepoju/Silicon-Valley-Artificial-Intelligence
Building a predictive model that will predict the literacy rate of a popuation
Oluwadara-Adepoju/TMDB-Analysis
Oluwadara-Adepoju/tribute
a tribute html page
Oluwadara-Adepoju/Womxn
Building a machine learning model that predicts a woman’s level of risk of being victimized by a crime given basic information about her and her life.