Machine learning modules installing in Windows 10 manually
What Is Machine Learning:
Machine learning is a technique where we can make computer learning, but this learning is not with coding, This is data-based learning, the meaning of my words is that we are not going to code for a specific task to learn the computer. We will provide data and the machine will automatically identify the sequences of the data and when we will give it original data then it will predict as accurately as the training is accurate, but sometimes it gets very tight, we machine learning developers called it Overfitting.
This overfitting can make your accuracy high when you are in training mode but when you are getting into the original data then it will fail to predict that accurately. The accuracy will decrease then, so we do have to notice while developing machine learning models.
For installing Machine Learning Modules You have to Install Python, First And your pip has to be activated before installing. Assuming All Requirements are Satisfied we are proceeding….
Installing Machine Learning Modules:
Some commands need to be executed for installing machine learning modules on windows10.
Machine learning modules are:
You can use a single command to install all these commands, Which is below:
pip install numpy scipy scikit-learn pandas matplotlib jupyter
pip3 install numpy scipy scikit-learn pandas matplotlib jupyter
If you get any error then execute the commands manually, which is:
pip install numpy or pip3 install numpy pip install scipy or pip3 install scipy pip install scikit-learn or pip3 install scikit-learn pip install pandas or pip3 install pandas pip install matplotlib or pip3 install matplotlib pip install jupyter or pip3 install jupyter
After installing all these modules now you need to activate jupyter-notebook
So for activating jupyter-notebook first you need to open your command prompt
And there type jupyter-notebook then wait for some time then you will see some processes are happening and at last you will see that a browser has been opened and you will see below type of window.
If you see that then Congrats! You have installed your jupyter-notebook manually.
Now you can start machine learning development.
First, you should check whether the modules that you have installed are available or not. So for doing that, click the new button on the top right corner as shown below. then click on python3.
Now another tab will open. There you will have to enter the below code to verify the availability of any module.
import numpy as np import scipy as sp import scikit-learn as sklearn import matplotlib.pyplot as plt import pandas as pd
After writing this code you need to hold the shift button and then press the enter button (shift+enter)
If the interface looks like the below picture then you are set for starting making models for machine learning.
If it looks something like the picture below then you need to install modules correctly because the modules are not correctly installed.
Now when you are all set you can start developing models. note that the models should not be overfitted as I said before, The meaning of my words is that the accuracy should not very accurate like it should not more than 98%, or it will cause for overfitting. you can find the data for train and test your model. you will find that by searching for CSV files. after you get that you can import in your project and make your models. note: CSV files can be very long so consider it as your pc configuration.
See advanced machine learning from documentation
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