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All You Need To Know About Statistics And Probability

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All You Need To Know About Statistics And Probability Statistics And Probability What Is Data? Look around you, there is data everywhere. Each click on your phone generates more data than you know. This generated data provides insights for analysis and helps us make better business decisions. This is why data is so important. What Is Data – Statistics and Probability – Edureka Data refers to facts and statistics collected together for  reference or analysis.  Data can be collected, measured and analyzed. It can also be visualized by using statistical models and graphs. Categories Of Data Data can be categorized into two sub-categories: Qualitative Data Quantitative Data Refer the below figure to understand the different categories of data: Categories Of Data – Statistics and Probability – Edureka Qualitative Data:   Qualitative data deals with characteristics and descriptors that can’t be easily measured, but can be observed subjectively. Qualitative data is further divid...
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How Much Statistics Do You Really Need to Become a Data Scientist?

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What Is a SARIMAX Model?

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 What Is a SARIMAX Model? What Is a SARIMAX model?   Although we have dedicated a series of blog posts to time series models, we are yet to discuss one very important topic – seasonality. Each of the models we examined so far – be it  AR ,  MA ,  ARMA ,  ARIMA  or  ARIMAX  has a seasonal equivalent. As you can probably guess, the names for these counterparts will be SARMA, SARIMA, and SARIMAX respectively, with the “S” representing the seasonal aspect. Therefore, the full name of the model would be  Seasonal Autoregressive Integrated Moving Average Exogenous model . We can all agree that it’s a mouthful, so we’ll stick with the abbreviation. Additionally, the SARMA and SARIMA can be considered simpler cases of the SARIMAX, where we don’t use integration or exogenous variables, so we’ll mainly focus our attention to the SARIMAX in this tutorial. What Is Seasonality? In case you need a hint, seasonality occurs when certain patterns aren’t ...
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What are the Best Books for Data Science?

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What are the Best Books for Data Science? All of us have different takes on learning and gaining knowledge. Some like to watch  videos , some like listening to people, some like being guided, some love reading. If you are a reader and really love the field of  Machine Learning  and  Artificial Intelligence , you are at the right place to get more of what you love. (Links to the free books are mentioned when it is available) This article has the following sections: Overview of Data Science Books to begin with Data Science Books to help you Master Data Science So let’s start your journey and help you find the best books for learning Data Science :) Overview of Data Science So what exactly do we understand by Data Science?  Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. That right there is the formal definition but let’s simplify it even more. Data Science is basical...
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The Power of Statistics in Data Analysis—Are You Using It Right?

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How to Build a Predictive Model in Python?

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How to Build a Predictive Model in Python? Predictive Model in Python One of the great perks of  Python  is that you can build solutions for real-life problems.  This applies in almost every industry. From building models to predict diseases to building web apps that can forecast the future sales of your online store, knowing how to code enables you to think outside of the box and broadens your professional horizons as a  data scientist . Whether you’ve just learned the  Python basics  or already have significant knowledge of the programming language, knowing your way around predictive programming and learning how to build a model is essential for  machine learning . In this practical tutorial, we’ll learn together how to build a binary logistic regression in 5 quick steps. Table of Contents What Is a Predictive Model? Predictive Modeling: Applications How to Build a Predictive Model in Python? Import Python Libraries Read the Dataset Explore the Datas...
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