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Hi there, I'm Mayowa Adeleye! šŸ‘‹

I'm a Data Analytics Specialist!

  • Iā€™m currently working on various open source data related projects!
  • Iā€™m currently open for a data scientist position
  • Fun fact: I love to Travel, enjoy watching soccer and playing Tennis

Connect with me:

codeSTACKr.com codeSTACKr.com codeSTACKr | Twitter codeSTACKr | LinkedIn


Languages and Tools:

Python HTML5 HTML5 SQL MySQL Git GitHub Visual Studio Code HTML5



Mayowa Michael Adeleye's Projects

breast-cancer-classification-using-support-vector-machine icon breast-cancer-classification-using-support-vector-machine

The key challenge in cancer detection is how to classify tumors into malignant or benign using machine learning. Early diagnosis can significantly increases the chances of survival of Breast cancer patient. In this case study, the task is to classify tumors into malignant or benign tumors using features from several cell images.

cifar-10-images-classification-using-cnns icon cifar-10-images-classification-using-cnns

In this project, I carried out image classification using CNN. I also performed image augmentation on the dataset in order to improve the accuracy of the prediction. The dataset used is the famous CIFAR-10 dataset

data-475-final-project icon data-475-final-project

The project is aimed at creating four (4) reports that will examine different aspect of data analytics using Python as the primary tool

lab-2---data-mining-and-association-rule icon lab-2---data-mining-and-association-rule

Working with CSV files using pandas (rectangle_summarizer_pandas.py), Visualizing Online Retail Data(visualize_dataset.py) and Mining Association Rules from Online Retail Data(association_rule_mining.py)

lab-3-machine-learning icon lab-3-machine-learning

Classifying Titanic Survival(Classification.py), Predicting House Prices(Regression.py), Clustering Seeds(Clustering.py)

lab-4-natural-processing-language icon lab-4-natural-processing-language

Processing Movie Reviews(processing.py), Topic Modeling on Movie Reviews(topic_modeling.py), Training Word Embedding on Movie Reviews (word_embedding.py)

lab-6---expert-systems icon lab-6---expert-systems

Rule-Based System for Crossing the Street (crossing_street.py), Rule-Based System for Automotive Diagnostics (diagnosing_automotive.py), Solving Santa Puzzle (santa1.py and santa2.py)

lab-7-monte-carlo-simulation icon lab-7-monte-carlo-simulation

I carried out simulation for a coin toss (coin_toss.py) and then apply the Monte Carlo method to compare the performance of two learning algorithms on the MNIST dataset.

prediction-of-car-purchase-amount-using-anns icon prediction-of-car-purchase-amount-using-anns

In this project, I will be using artificial neural network to develop a model that will be used to predict the total amount in dollar that customers are willing to pay based on the following attributes from a synthetic dataset

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