Oyelaja Iremide's Projects
A data science EDA project
Python Package for Airborne RGB machine learning
NumPy Library
This is an assignment given by Tutor Iremide
dsc class
I made use of three models namely, Random-Forest, Linear Regression and XGBBoost. Of the three, Random-Forest gave the least error.
Using Logistic Regression
This shows how to find a good k valur
This documentation contains the analysis of data gotten from the smart energy meter of SERGFuta.
Exploratory Data Analysis
Object detection using TensorFlow and YOLO v5
This repository contain the tag code for courseA
This code explains how to use SMOTE and other over sampling libraries to increase the minority class, RandomUnderSampler to manipulate the majority class. Cross Validation Technique was also treated here. The data used in this code is a synthetic random data from sklearn dataset.
Config files for my GitHub profile.
This contains the code to the stage B
Using KNN Algorithmn
Logistic Regression
This contains all I did during the learning period
This contain all I worked on during this period
How to use LinearRegression Model