Andi Osika's Projects
SQL & A/B / Hypothesis Testing to inform business intelligence
Data collected from Maricopa County Recorder
Using 21 categorical and numeric features in a multivariate linear regression to find that 79% of a home price can be positively affected by a combination of certain features like location, square feet, condition and age of the home.
multivariate linear regression
Natural Language Processing: A multi-headed model capable of detecting different types of online discussion toxicity like threats, obscenity, insults, and identity-based hate using Keras RNN LSTM and focal loss to address a hyper-imbalanced dataset.
NLP to identify toxic or abusive language for online conversation using Keras / Deep Learning Models