Some of the projects created to learn the foundations of machine learning.
Will work with minimum requirements Python 3.9.16 | Matplotlib 3.6.2 | Numpy 1.23.5 | Pandas 1.5.2 | Scikit-learn 1.2.0 | Seaborn 0.12.2
Analysing the trend of temperatures in Melbourne and predicting one year into the future.
Starting from housing data of the Seattle and King County, WA area between May 2014 and 2015, and creating a linear regression model to generate a house price according to parameters such as a sq ft, number of bathrooms, view, etc.
Building a model to 'predict' who was more likely to survive the Titanic
Investigating the relationship between happiness and other factors around the world, including a prediction of what would happen to human happiness if life expectancy increased.
