Recently Published
Predicting Quality of Weight Lifting Exercises using Machine Learning algorithms in R
This exercise is part of Human Activity Recognition and its purpose is to build a predictive model, which will classify “quality” of weight lifting exercises
Facebook Ad Campaigns ML model research
This document describes an early stage of various ML algorithms reserach, selection and performance metrics evaluation.
Data Science Capstone Project Presentation
The main purpose of the project is to use advanced Natural Language Processing algorithms to build an application with text prediction capability which will effectively utilize source text data sets (emails, tweets, news) in order to run predictive algorithm and generate predictions in computationally limited environment with no or very limited impact on UX of the front end application.
Data Science Capstone_Project_Exploratory_Analysis
Milestone Report
Analysis of the characteristics of major storms and weather events in the United States
Storm Data is an official publication of the National Oceanic and Atmospheric Administration (NOAA), which documents the occurrence of storms and other significant weather phenomena having sufficient intensity to cause loss of life, injuries, significant property damage, and/or disruption to commerce includes weather events information, like when and where they occur, estimates of any fatalities, injuries and property damage. This analysis is focused on visualizing the qualitative impact, various type of sever weather conditions had on two major aspects of people’s life in affected areas. The analysis is split into two parts. One measures an impact of various types of weather related events on amount of fatalities and injuries where the second one gives a view on economic impact (expressed in USD) such events had in the period covered by a data set.