PinnedMember-onlyLearn the Differences Between Block, File and Object Storage.Foundations of Data Engineering — A comparison of block, file, and object storage, outlining the main distinctions between them and which best suits your needs. Data is one of your company’s most significant assets. You must choose where and how to keep each individual piece of data as well as bigger data sets, including those…Data Engineering7 min read
PinnedMember-onlyHow to Crash AWS Certified Solutions Architect-Associate Exam in 1 monthBefore you take this exam, we recommend you read this guide. — So you’ve finally made the choice to invest in yourself! With an influx of people taking AWS Certification exams, you can’t help but imagine and embrace the trend.To succeed, what you really need is a quick hack. This essay is written for folks who have never used AWS before.Though that…AWS7 min read
PinnedMember-onlyThe Bullshit of Search Fund & Entrepreneurship through AcquisitionThe tragedy of being an Entrepreneur — I asked Myself: “Are You Sure?”. This is the question I asked myself two years ago when I heard about search fund or Entrepreneurship through acquisition. The shocking thing about a simple question is to start a dialogue with yourself a deep conversation that can clarify, and nourish. …Life7 min read
Apr 3Member-onlyData Lake, Data Mart, and Data WarehouseFoundations of Data Engineering — The article will be structured into three parts: the first will introduce a couple of definitions; the second part will dive deep into the main difference between a data warehouse and a data lake; and the last part will explain the data mart in an affordable language. Definitions Data Lake People…Data Engineering9 min read
Jan 5Member-onlyLinear Regression From ScratchThe is the first story of our seven stories about machine learning. — When you have two variables, an independent variable X and the dependent variable Y. Linear regression is studying how closely related are these two variables. Basically applying linear regression gives us a number between -1 and 1 that gives us an indication of the the strength of correlation between the…Machine Learning2 min read
Jul 18, 2021Member-onlyDifferences Between Python 2 and Python3This is a generic, practical approach that can help you navigate the ambiguity. — Many Python practitioners reached out to me. Asking about which version of Python they should start. My answer to this question is usually something along the lines. Choose the latest version, and check out the differences later on. But if you are looking for job, which one you study first…Python3 min read
Jul 14, 2021Member-only3 Methods for Handling Missing DataThe best possible method of handling the missing data. Is preventing the problem by well-planning the study and collecting the data carefully. In the last article we talk about missing data. And the different types of missing data. These are Missing Completely at Random (MCAR) . When data is completely…Data Science4 min read
Jul 11, 2021Member-onlyFailure in Handling Missing dataAs a data scientist, I often receive data in which the individuals fail to describe, analyse, or even acknowledge missing data. This is frustrating, as it is often of the utmost importance. Conclusions may change when missing data is accounted for. …Data Science3 min read
Apr 26, 2020Member-onlyLinear Algebra using Pythonhttps://www.youtube.com/watch?v=CjAtBOUMEIQPython 31 min read
Published in Towards Data Science·Aug 3, 2019Member-onlyCoding Interview Questions-Reservoir SamplingReservoir Sampling is an algorithm for sampling elements from a stream of data. Imagine you are given a really large stream of data elements, for example: Queries on DuckDuckGo searches in June Products bought at Sainsbury's during the Christmas season Names in the white pages guide. Let me put in…Interview Questions2 min read
