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DAVID OTOOSAKYI's Projects

merging-dataframes-with-python-pandas icon merging-dataframes-with-python-pandas

Telstra is a telecommunication company on a journey to enhance the customer experience - ensuring everyone in the company is putting customers first. Using dataset of features from their service logs, this repository contains how to merge these datasets in preparation for future analysis.

ml-iris-dataset icon ml-iris-dataset

First machine learning project following a tutorial, it used the Iris dataset. src: https://raw.githubusercontent.com/jbrownlee/Datasets/master/iris.csv

ml-project-the-best-classifier icon ml-project-the-best-classifier

This repository includes python code to check various Machine learning classification algorithms like KNN, Decision Tree, SVM and Logistic regression. It compares accuracy of different classification algorithms with jaccard_score, F1_score and log_loss.

ml-usu-sp21 icon ml-usu-sp21

ECN 5090- Machine Learning in Economics and Finance (Python)

monk_v1 icon monk_v1

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

muffin-cupcake icon muffin-cupcake

classifying muffin and cupcake recipes using support vector machines

neuraspike icon neuraspike

All the code snippets for the blog posts are kept here.

project_d-gasm icon project_d-gasm

After 3 months of data gathering from Twitter and more than half a million tweets, we have wrapped up our data science project. This is the result. Between the candidates of the two major parties: Buhari of APC and Atiku of PDP, below is what our data revealed.

python_finding_open_restaurants_test icon python_finding_open_restaurants_test

I was sent a test in email which looked pretty simple but however took me 6 straight days of at least one 8 straight hours writing lines of python code. It looked rather simplistic, however it had me pulling out all the basics of python I ever knew with me touching modules like pandas, regex and datetime with a truck load of list comprehension and boatload of split(). This is a documentation of my own solution. By the way I KNOW this can do with a lot of improvement, but this works.

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