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  • R Programming Tutorial PDF: Learn Basics (Download Now)
    $20.20 $9.99 for today 4.6 (125 ratings) Key Highlights of R Programming Tutorial PDF 383+ pages eBook Designed for beginners Beautifully annotated screenshots You will get lifetime download access of this R Programming Tutorial PDF R is a programming language is widely used by data scientists and major corporations like…
  • 17 Best R Programming Books (2021 Update)
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  • Top 18 R Programming Interview Questions & Answers (2021)
    1) Explain what is R? R is data analysis software which is used by analysts, quants, statisticians, data scientists and others. 2) List out some of the function that R provides? The function that R provides are Mean Median Distribution Covariance Regression Non-linear Mixed Effects GLM GAM. etc. 3) Explain…
  • Histogram vs Bar Graph: Must Know Differences
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  • R Vs Python: What’s the Difference?
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  • Scatter Plot in R using ggplot2 (with Example)
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  • Tensorflow Tutorial PDF: Basics Beginners PDF (Download Now)
    $20.20 $9.99 for today 4.6 (115 ratings) Key Highlights of TensorFlow Tutorial PDF 365+ pages eBook Designed for beginners Beautifully annotated screenshots You will get lifetime download access of this TensorFlow PDF Google’s TensorFlow is an open-source and most popular deep learning library for research and production. This ebook covers…
  • Correlation in R: Pearson & Spearman Correlation Matrix
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  • 10 BEST TensorFlow Books (2021 Update)
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  • Python NumPy Tutorial for Beginners: Learn with Examples
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    What is NumPy in Python?

    NumPy is an open source library available in Python, which helps in mathematical, scientific, engineering, and data science programming. It is a very useful library to perform mathematical and statistical operations in Python. It works perfectly for multi-dimensional arrays and matrix multiplication. It is easy to integrate with C/C++ and Fortran.

    For any scientific project, NumPy is the tool to know. It has been built to work with the N-dimensional array, linear algebra, random number, Fourier transform, etc.

    NumPy is a programming language that deals with multi-dimensional arrays and matrices. On top of the arrays and matrices, NumPy supports a large number of mathematical operations. In this part, we will review the essential functions that you need to know for the tutorial on ‘TensorFlow.’

    Why use NumPy?

    NumPy is memory efficiency, meaning it can handle the vast amount of data more accessible than any other library. Besides, NumPy is very convenient to work with, especially for matrix multiplication and reshaping. On top of that, NumPy is fast. In fact, TensorFlow and Scikit learn to use NumPy array to compute the matrix multiplication in the back end.

    In this Python NumPy Tutorial, we will learn:

    How to Install NumPy

    To install NumPy library, please refer our tutorial How to install TensorFlow. NumPy is installed by default with Anaconda.

    In remote case, NumPy not installed-

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    You can install NumPy using Anaconda:

    conda install -c anaconda numpy
    • In Jupyter Notebook :
    import sys
    !conda install --yes --prefix {sys.prefix} numpy

    Import NumPy and Check Version

    The command to import numpy is

    import numpy as np

    Above code renames the Numpy namespace to np. This permits us to prefix Numpy function, methods, and attributes with ” np ” instead of typing ” numpy.” It is the standard shortcut you will find in the numpy literature

    To check your installed version of Numpy use the command

    print (np.__version__)

    Output:

    1.18.0

    What is Python NumPy Array?

    NumPy arrays are a bit like Python lists, but still very much different at the same time. For those of you who are new to the topic, let’s clarify what it exactly is and what it’s good for.

    As the name kind of gives away, a NumPy array is a central data structure of the numpy library. The library’s name is actually short for “Numeric Python” or “Numerical Python”.

    Creating a NumPy Array

    Simplest way to create an array in Numpy is to use Python List

    myPythonList = [1,9,8,3]

    To convert python list to a numpy array by using the object np.array.

    numpy_array_from_list = np.array(myPythonList)

    To display the contents of the list

    numpy_array_from_list

    Output:

    array([1, 9, 8, 3])
  • Exporting Data from R: How to Export Data from R to CSV, Excel
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  • How to Replace Missing Values(NA) in R: na.omit & na.rm
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  • 21 Best and Free Machine Learning Courses in 2021
    Machine Learning and Deep Leaning are subsets a of Artificial Intelligence. As per a report by Gartner, demand for Artificial Intelligence professionals will jump by 38% by 2020. There is lots of excitement in the tech community to learn Machine Learning, but at the same time, there is a confusion…
  • Import Data in R: Read CSV, Excel, SPSS, Stata, SAS Files
    Data could exist in various formats. For each format R has a specific function and argument. This tutorial explains how to import data to R. In this tutorial, you will learn Read CSV Read Excel files readxl_example() read_excel() excel_sheets() Import data from other Statistical software Read sas Read STATA Read…
  • PySpark Tutorial for Beginners: Learn with EXAMPLES
    Before learning PySpark, let’s understand: What is Apache Spark? Spark is a big data solution that has been proven to be easier and faster than Hadoop MapReduce. Spark is an open source software developed by UC Berkeley RAD lab in 2009. Since it was released to the public in 2010,…
  • RNN (Recurrent Neural Network) Tutorial: TensorFlow Example
    Why do we need a Recurrent Neural Network (RNN)? Recurrent Neural Network (RNN) allows you to model memory units to persist data and model short term dependencies. It is also used in time-series forecasting for the identification of data correlations and patterns. It also helps to produce predictive results for…
  • apply(), lapply(), sapply(), tapply() Function in R with Examples
    This tutorial aims at introducing the apply() function collection. The apply() function is the most basic of all collection. We will also learn sapply(), lapply() and tapply(). The apply collection can be viewed as a substitute to the loop. The apply() collection is bundled with r essential package if you…
  • 20 Best AI (Artificial Intelligence) Books for Beginners in 2021
    We are reader supported and may earn a commission when you buy through links on our site AI is the science and engineering of making intelligent machines, especially intelligent computer programs. The full form of AI is Artificial Intelligence. Artificial intelligence exists when a machine has a cognitive ability. The…
  • TensorFlow Autoencoder Tutorial with Deep Learning Example
    What is Autoencoder in Deep Learning? An Autoencoder is a tool for learning data coding efficiently in an unsupervised manner. It is a type of artificial neural network that helps you to learn the representation of data sets for dimensionality reduction by training the neural network to ignore the signal…
  • Top 50 Machine Learning Interview Questions & Answers (2021)
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  • R While Loop with Programming Examples
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  • For Loop in R with Examples for List and Matrix
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  • CNN Image Classification in TensorFlow with Steps & Examples
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  • 20 Best AI Chatbots (Artificial Intelligence Chatbot) in 2021
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  • IF, ELSE, ELSE IF Statement in R
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