Introduction to Pyspark for your bigdata workloads This will be one of my first series on introduction to Pyspark. Today business and cooperations speaks in terms of data, and data is becoming extremely large everyday and also needs to be processed faster. You are then required as an analyst, data…

Tools to help simplify your machine learning model experiments As a data scientist have you ever run into a problem of determining the best model after running a large number of experiments and getting satisfactory results, but unfortunately you couldn’t determine exactly which of the model performed best, because you…

Using data science to model the severity of building damage post-earthquake The use of data science to help identity issues and solve business problem in our world today can not be overemphasized. …

A data driven approach using San Francisco Police Department Crime Reporting System Data. Introduction The importance of safety is very crucial to our daily living. But this has been shortened by the never ending crimes committed around the word daily. Thousands of crimes are committed every day, and probably hundreds…

An exploratory and sentiment analysis of the Covid-19 pandemic in Python — Its no longer news that the recent Coronavirus outbreak has been declared a global health Emergency. Many countries have been practicing lock-down restrictions, working from home, social distancing to help stop the spread of the virus. As a result this has spurred some interesting reactions all over social media. …

If the iron be blunt, and he do not whet the edge, then must he put to more strength: but wisdom is profitable to direct. Ecclesiastes 10:10 2018 has being a great year for each and every one of us, we have accomplished a lot, embarked on so many things…