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Mangaliso Samuel Makhoba's Projects

corona-virus-visualization icon corona-virus-visualization

This project makes graphical exploratory data analysis of the Corona Virus from a South African database created and updated by Explore Data Science Academy in partnership with the South African Government

etl-pipeline icon etl-pipeline

Extracting data from twitter, Transforming it in Python, Loading it in SQL. Please refer to Readme.md for more details

image-classification icon image-classification

In this challenge, we train the model with images of hand drawn numbers with their respective labels. Then use the classifier to predict the label given the image in pixels. Refer to README.md for more details

linear-regression-on-the-world-population icon linear-regression-on-the-world-population

In this project, we use Ridge Regression Model to predict the population of a certain country at a particular year having trained the data with the world population from 1960 to 2017

logistic-regression icon logistic-regression

This is an introductory use of Logistic Regression into solving classification problems. Refer to to README.md for more details

parameter-tuning icon parameter-tuning

This project is using the Wine Quality Data Set to create a model that will predict the wine quality based on physicochemical tests, after tuning the hyperparameters. Refer to Readme.md for more details

singularityteam10 icon singularityteam10

The focus of this project is the building of functions for Eskom to preprocess Data from Eskom, and prepare it for Sentiment Analysis. Refer to README.md for more details

titanic-data-preprocessing icon titanic-data-preprocessing

Exploratory Data Analysis on the raw data from the Titanic Kaggle Challenge. The purpose of this challenge is to predict the probability of survival for a given passenger, given their boarding details.

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