3 Most Common Data Science Job Misconceptions

Career Misconceptions Mathematics of Machine Learning- Understanding the underlying mathematics of machine learning algorithms. Importance of Statistical Thinking- Why knowing statistics and even thinking statistics is important. Defining The Data Scientist Role- Exactly what is a Data Scientist’s responsibilities and why they vary so much across organizations. 1. The Mathematics Behind Machine Learning Algorithms Python …

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7 Types of Python Operators: Easy Examples

Maybe you’ve finished a course on YouTube or Udemy about Python Programming, and you’ve learned some intermediate level concepts such as object-oriented programming and using functions. Most of these courses do not broach the Python Operators subject very well, but this tutorial will explain all of them one by one in-depth. 7 Categories of Python …

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PYPDF2 Library – Work with PDF Files in Python

PyPdf2 is a python library used to perform functions such as splitting, extracting content, cropping, and merging PDF files. PDF stands for portable document format, and it is one of the most widely used document formats. It uses .pdf extension. PyPDF2  is also very good for creating documents from scratch because it has a robust …

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The Difference Between Over-fitting and Under-fitting in Machine Learning Models using Scikit Learn in Python

In this tutorial we are going to learn about the difference between over-fitting and under-fitting in machine learning with the help of the Python Programming library ScikitLearn, also known as SkLearn. Understanding Undrfitting One important task in machine learning is constructing statistical models.  You would like to model the data as accurately as possible, but …

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What Is Machine Learning Used For?

When most Americans hear the phrase Artificial Intelligence or Machine Learning they immediately think of “Sky Net”, “The Matrix”, or “iRobot”. The inevitable battle of Man vs. Machine… Yet, most people aren’t fully aware of what machine learning is, how it affects their day-to-day lives, or even how it can benefit them. Machine Learning is …

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Examples of Linear Algebra in Machine Learning with Python

Machine learning teaches computers to find patterns in data. If you’re working with large numerical datasets, it’s natural to store data in a matrix format. Each row in the matrix represents a different observation, and each column represents a different attribute of that observation. It shouldn’t be surprising, then, that linear algebra underlies many machine …

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Bias in Machine Learning – Examples & Solutions

Machine learning algorithms are often mistaken as objective analytics and decision-making solutions to human inefficiencies. Paradoxically, humans often make machine learning algorithms inefficient by way of biases. These biases include sample bias, reporting bias, prejudice bias, confirmation bias, group attribution bias, algorithm bias, measurement bias, recall bias, exclusion bias, and automation bias. Machine learning is …

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Stock Market Prediction with Multivariate Time Series in Python using Keras

A time series is a sequence of data points collected over time. In many domains, there is always a need to deal with multivariate time series data, such as a network of sensors measuring weather conditions, or multiple financial indices reflecting global economics. Due to the nature of non-stationary and complicated correlation, it is a …

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