ire-mide1

Machine Learning Engineer

Lagos, Nigeria

Pinned Repositories

Facial-Recognition-Project
Using Logistic Regression
Language:Jupyter Notebook20
fimd-k-value
This shows how to find a good k valur
Language:Jupyter Notebook1 1 00
Handling-Imbalanced-Classand-Cross-Validation
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.
Language:Jupyter Notebook10
K_Nearest_Neighbors_Project
Using KNN Algorithmn
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Logistic-Regression-Project
Logistic Regression
Language:Jupyter Notebook1 1 00
Microsoft-ML-30DL
This contain all I worked on during this period
Language:Jupyter Notebook1 1 00
ML_LinearRegression_Project
How to use LinearRegression Model
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RepCounter
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Testgit
This is to test git
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Voice.json
Conversion of a json file to a csv excel file
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ire-mide1's Repositories

ire-mide1/Voice.json
Conversion of a json file to a csv excel file
Language:Jupyter Notebook3 2 00
ire-mide1/fimd-k-value
This shows how to find a good k valur
Language:Jupyter Notebook1 1 00
ire-mide1/Handling-Imbalanced-Classand-Cross-Validation
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.
Language:Jupyter Notebook10
ire-mide1/Microsoft-ML-30DL
This contain all I worked on during this period
Language:Jupyter Notebook1 1 00
ire-mide1/RepCounter
Language:Jupyter Notebook10
ire-mide1/DeepForest
Python Package for Airborne RGB machine learning
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ire-mide1/DSC-Amateur-Numpy
ire-mide1/dsc-datascience-class
ire-mide1/DSC-FUTA-Data-Science
NumPy Library
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ire-mide1/Dsc-futa-numpy
ire-mide1/DSC-Numpy
This is an assignment given by Tutor Iremide
ire-mide1/dsc-projects
dsc class
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ire-mide1/dscfuta_numpy_week1
ire-mide1/Electricity-regression-task
I made use of three models namely, Random-Forest, Linear Regression and XGBBoost. Of the three, Random-Forest gave the least error.
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ire-mide1/Energy_meter_analysis-II
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ire-mide1/First_SmartMeter_Energy_Analysis
This documentation contains the analysis of data gotten from the smart energy meter of SERGFuta.
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ire-mide1/GenAIcourse
ire-mide1/Hamoye_capstone_project_smote
Object detection using TensorFlow and YOLO v5
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ire-mide1/Hamoye_CourseA
This repository contain the tag code for courseA
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ire-mide1/india-api
API India solar and wind data
ire-mide1/ire-mide1
Config files for my GitHub profile.
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ire-mide1/Iremide_Oyelaja_Hamoye_StageB
This contains the code to the stage B
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ire-mide1/Keras-project-exercise
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ire-mide1/Load-Forecasting-for-Smart-Meters
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ire-mide1/ML_Course_9-11-20
ire-mide1/My-DS-ML-development-
ire-mide1/Recommender-System-using-KNN
Recommender System is used on online websites such as netflix, google search to give users other suggestions based off their history. KNN Algorithmn choose the value of k closer to a new point. So, values or suggestions close to your history will be recommended to the user
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ire-mide1/Regression-Task-using-Neural-Network
This is a basic code that explains how to use neural network sequential model to predict price.
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ire-mide1/resume
1 0
ire-mide1/WebFL
WebGPU for Federated Learning
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