Data Science

Sklearn Confusion Matrix Machine Learning Tutorial

A confusion matrix is a method of summarizing a classification algorithm’s performance. It is simply a summarized table of the number of correct and incorrect predictions. As you know in supervised machine learning algorithms, we train the model on the training dataset and then use the testing data to make predictions. For the regression model, …

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Exploratory Data Analysis with Python (Pandas & Matplotlib)

Data sets come in different states, shapes, and sizes.  When you gain access to a dataset for the first time, there is an element of mystery there.  Do all of the records have valid data?  Are there any unusual measurements?  How large is the dataset? There is some basic information it would be helpful to …

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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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