Augustine Ugbeda
Portfolio

The dataset that I worked on is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs. WeRateDogs is a Twitter account that rates people's dogs with a humorous comment about the dog I imported the various tables needed for the project twitter_archived,image_predictions and tweet_json respectively. After wrangling the data,and did my analysis, I got some insights from the wrangled data..

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This project analyzes various metrics of the English premier league 2021/2022 season.

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This project is divided into two major parts > In the first part, I conducted an exploratory data analysis on the loan data. I use data visualization libraries to perform cleaning and explore the dataset’s variables and understand the data’s structure,. The analysis in this part goes from from simple univariate relationships up through multivariate relationships. In the second part, I take the main findings from our exploration and convey them to others through an explanatory analysis. To this end, i created a slide deck that uses explanatory visualizations to communicate my results.

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The dashboard contains analysis of the top 200 billionaires by forbes as at 27/07/2022

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This project explores the soccer database gotten from Kaggle . It contains data for soccer matches, players, and teams from several European countries from 2008 to 2016. It has over 25,000 matches ,over 10,000 players,11 European Countries with their lead championship and Players and Teams' attributes.

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This project uses python language machine learning algorithms to predict if a client who owns an insurance policy will come for a claim after a three month period.

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This is a text mining and Sentiment Analysis on the End Sars protest in nigeria.

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this is a rule based chatbot created using python for emergency services.

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