Installation of ML Libraries

An ML library is often a collection of readily usable functions and procedures. A developer's arsenal must have a strong collection of libraries to conduct research and create sophisticated programs without having to write a lot of code.

The various ML libraries include:

1. Math 
2. Matplotlib.pyplot
3. Numpy
4. Pandas
5. sklearn
6. TensorFlow

System Requirements for ML Libraries 

1. Python should be installed and preferably, it should be the latest version
2. Visual Studio with Python / Anaconda 

Steps for Installation: Using Anaconda IDLE

Step 1: Go to the command prompt by typing cmd in your search bar 

Step 2:Type in ‘pip install matplotlib

Step 3:’Type in ‘pip install pandas’

Step 4: Type in ‘pip install NumPy

Step 5: Type in ‘pip install sklearn’

Step 6: Type in ‘pip install TensorFlow

Library Installation using “Visual Studio ”

You would need Visual Studio with Python 

Note: Make sure that u have added the environment variable correctly

Step 1: Go to command prompt 

type “python -m pip install matplotlib” and press enter 

The installation will start as shown in the image above

Similarly, type the commands one after the other to install all the libraries 

Type in ‘python -m pip install TensorFlow, python -m pip installs pandas, python -m pip installs numPy.