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The Quick and Easy Way to Analyze Numpy Arrays

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The quickest and easiest way to analyze NumPy arrays is by using the numpy.array() method. This method allows you to quickly and easily analyze the values contained in a numpy array. This method can also be used to find the sum, mean, standard deviation, max, min, and other useful analysis of the value contained within a numpy array. Sum You can find the sum of Numpy arrays using the np.sum() function.  For example:  import numpy as np  a = np.array([1,2,3,4,5])  b = np.array([6,7,8,9,10])  result = np.sum([a,b])  print(result)  # Output will be 55 Mean You can find the mean of a Numpy array using the np.mean() function. This function takes in an array as an argument and returns the mean of all the values in the array.  For example, the mean of a Numpy array of [1,2,3,4,5] would be  result = np.mean([1,2,3,4,5])  print(result)  #Output: 3.0 Standard Deviation To find the standard deviation of a Numpy array, you can use the NumPy std() function. This function takes in an array as a par
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2 Top Python Libraries to Create ML model

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To Create a Model of Machine Learning in Python, you need TWO libraries. One is 'NUMPY' and the other one is 'PANDAS'.
Libraries You Need to Create ML Model

2 Top Libraries You Need


To Build a model of Machine learning you need the right kind of data. So, use the data for your project should be refined. Else, it will not produce correct results. The prime steps are Data Analysis and Data Preprocessing.

  1. NUMPY - It has the capabilities of Calculations.
  2. PANDAS- It has the capabilities of Data processing.

How Install Python Machine Learning Libraries 

import NumPy as np # linear algebra
import pandas as PD # data processing, CSV file I/O (e.g. PD.read_csv)


How to Check NumPy/Pandas installed

After '.' you need to give double underscore on both sides of the version. 

how to check numpy or pandas version


How Many Types of Data You Need

You need two types of data. One is data to build a model and the other one is data you need to test the model.
  1. Raw data
  2. Evaluate-data


How to Build a Model Flowchart

I have given a flowchart to build a model along with sample data.

Comments

  1. Alfred AvinaFebruary 4, 2020 at 6:13 PM

    Big data solutions developer should understand the need of Data, and they should work to build more appropriate services to meet the requirements of their clients.


    ReplyDelete

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