Mayowa Michael Adeleye's Projects
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.
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
The aim of this project is to analyse the customers behaviour by predicting which customers will churn the company
The aim of this task is to anaylze customer behaviour by predicting which customer clicks on the advertisement using Logistic Regression
The project is aimed at creating four (4) reports that will examine different aspect of data analytics using Python as the primary tool
Currently working on this project on Google Colab
This interactive dictionary was built using Python
Hello World (hello_world.py), Working with CSV files (rectangle_summarizer.py)
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)
Classifying Titanic Survival(Classification.py), Predicting House Prices(Regression.py), Clustering Seeds(Clustering.py)
Processing Movie Reviews(processing.py), Topic Modeling on Movie Reviews(topic_modeling.py), Training Word Embedding on Movie Reviews (word_embedding.py)
Sentiment Analysis Using a Language Model(language_model.ipynb) Image Classification Using CNN (image_classification.ipynb)
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)
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.
This repository contains some of the visualizations I made using PowerBI
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
In this project, I applied Linear Regression model to solve the task using python
In this project, I applied Linear Regression model to solve the task using python
This repository contains some of the visualizations I made using Tableau