1. Download the file ""redundant1.csv"" from the repository. Apply PCA to reveal its number of essential features. Compute the reduced dataset and create a scatter plot for it 2. Download the file ""redundant2.csv"" from the repository. Apply NMF and extract two its main features. Plot scatter plot for them. 7. Download the file "rescale.csv" from the repository. Rescale its columns, compute all pairwise distances and find three closest records. 8. Download the file "happiness_score.csv" from the repository. Rescale its column 'Happiness Score'. Transform its column 'Region' into one-hot representation. Compute pairwise distances using 'Happiness Score' and one-hot columns for 'Region'. Find two most similar countries.
Остался доволен процессом и результатами сотрудничества с данным автором. Профессионал своего дела, качественная, выполнена точно в поставленную дату. Всегда на связи, всегда в доступе. Огромное спасибо, буду рад с вами работать в дальнейшем