Application of Sentimental Analysis and Topic Modelling(using Latent Dirichlet Allocation & Term Frequency-Inverse Document Frequency) on two datasets to analyze and extract relevant insights.

The task is to apply various ML algorithms to build a model explaining whether a particular person consumed cocaine in the last month based on the training sample and generate predictions for all observations from the test sample. The training sample is a dataset containing 1500 observations from 21 variables while the test sample contains 385 observations from 20 variables (the target variable is ommitted).

Association rule is usually a data mining approach used to explore and interpret large transactional datasets to identify unique patterns and rules.

Customer segmentation is a key tool for every business and organizations. It helps business owners and marketers to be able to identify areas that needs attention and strategize more efficiently in order to satisfy their customers.

In this paper, I take a look at how PCA could be applied in image compression in order to save storage space.