Machine Learning

Python for Machine Learning

4.41 (3519 Ratings)


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About this course

Python is an easy to learn, powerful programming language. You can use Python when your data analysis tasks need to be integrated with web apps or if statistics code needs to be incorporated into a production database.

Being a full-fledged programming language, Python is a great tool to implement algorithms for production use. There are several Python packages for basic data analysis and machine learning. In this course, you will learn about two popular packages in Python: NumPy and Pandas. These are the essential foundational packages that are required for basic data manipulation.

Skills covered

  • check NumPy
  • check Pandas

Course Syllabus

Python for Machine Learning

  • play Intro to Numpy
  • play Joining NumPy Arrays
  • play Numpy Intersection & Difference
  • play Numpy Array Mathematics
  • play Saving and Loading Numpy Array
  • play Intro to Pandas
  • play Pandas Series Object
  • play Intro to Pandas Dataframe
  • play Pandas Functions

Course Certificate

Get Python for Machine Learning course completion certificate from Great learning which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

GL Academy Sample Certificate

Discussion on Python for Machine Learning



How I can submit assignment?
We have to upload the jupyter notebook or something else?

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In the course “Machine Learning with Python” video “assignment on pandas”,, the teacher uses some files like “automobile.csv” and “pandas lab exercise” and I can’t find them in the course learning materials. Can anyone help me please?

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I have a csv file and when i try to import it using pandas,it throws this error :UnicodeDecodeError: “utf-8” codec can’t decode byte in position : invalid start byte.

Any idea how to solve this problem?

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Is there anyway to remove all whitespaces in python string.I want remove all the leading and ending whitespaces?

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Certificate are available in python machine learning live class…we will any payment of certificate

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hello sir
i had installed anaconda navigator and jupyterlab while in your class regarding uberlist csv file.i am unable to execute outputs like you shown in the video.the star mark in the brackets is appearing

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import pandas as pd
myseries =pd.series(data=mylist)
myseries =pd.series(data=myarray)
sir the error show as module pandas as no attribute in series

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I have completed watching all the video lectures but I have no idea on how to submit assignments, can anyone help!? My email id is -

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I have completed the exercise but progress is not showing there. What can I do?

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How do i get “assignment on pandas” which was given in class

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Yes very nice and informative

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i want data file pdf

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I am not able to run this script.It shows this error “ImportError: numpy.core.multiarray failed to import” about numpy and i have already numpy installed.Here is my script:

import cv2
import time

cv.NamedWindow(“camera”, 1)

capture = cv.CaptureFromCAM(0)

while True:
img = cv.QueryFrame(capture)
cv.ShowImage(“camera”, img)
if cv.WaitKey(10) == 27:

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When running this code in TensorFlow,I got this error: module ‘tensorflow’ has no attribute ‘session’ .But it worked fine last time i ran it.

import tensorflow as tf

msg = tf.constant(‘Hello, TensorFlow!’)

sess = tf.Session()


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I was following a tutorial about machine learning and following code works fine in tutorial but shows error when i try exact same thing:

from sklearn.cross_validation import train_test_split

It returns me this error:

ImportError: No module named sklearn.cross_validation

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How to create empty pandas dataframe?

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I installed keras module in my system. But when I tried to import this module I got this below error : modulenotfounderror: no module named ‘keras’

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how to convert a pandas dataframe into a NumPy array.

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How to delete a column in a DataFrame?

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I have just started with Python for Mah=chine Learning and completed a couple of videos but one of the video’s progress is stuck at 59%. How could I overcome this? If it will be like this then I will not be able to complete the course and will not get any certificate.

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Hello All,

I who do l contact for the certification .
I haven’t received mine yet


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i want excel data file

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i want Machine Learning with Python all txt file

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How can I reverse a list in python without reverse function?

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Is both python for machine learning in english and hindi are same, as i see that some videos from English course are not available in hindi course

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Sir i am benerplz help me

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What is the difference between Python’s list methods append and extend?

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Why is there no do while loop in python?

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What is the difference between list and tuple?

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This error may come if you do not have an opencv installed module in your system.

check the module is available or not.

$ pip list or conda list

If it is not available, then install Opencv

$ pip install opencv-python or conda install opencv-python

But before that, Install numpy module

$ pip install numpy

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Can you help me with this error: ModuleNotFoundError: No module named ‘cv2’ ?

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how to find files and skip directories in os.listdir?

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How to install tensorflow in anaconda?

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What do you mean by python scripting? What is a script and a module in python?

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How to use not equal operator in python?

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Can anybody help me with knn?

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I just completed all the course material for Python for Machine Learning but then im not being able to access my qizz, which also donot allow to claim my certificate. Can somebody please help me.!xx

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How can I read a pkl file for visualising it using pandas?

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Pickle files (.pkl) are used to store the serialized form of Python objects. This means objects like list, set, tuple, dict, etc. are converted to a character stream before being stored on the disk. This allows you to continue working with the objects later on. These are particularly useful when you have trained your machine learning model and want to save them to make predictions later on.

So, if you serialized the files before saving them, you need to de-serialize them before you use them in your Python programs. This is done using the pickle.load() function in the pickle module. But when you open the pickle file with Python’s open() function, you need to provide the ‘rb’ parameter to read the binary file.

import pickle

with open('./Importing files/sample_pickle.pkl','rb') as file:
    data = pickle.load(file)

# pickle data

df_pkl = pd.DataFrame(data)

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What is the latest Python version?

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As of now, the latest version of python currently running is 3.8.3. From now on if you want to the know the latest version of Python, go to and you’ll see the most latest version available for download.

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What does n do in Python?

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In Python strings, the backslash “” is a special character, also called the “escape” character. It is used in representing certain white space characters and “\n” is one of them. It is used to start a new line.

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What is the best compiler for Python?

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Compilers are programs that convert source code written in a high-level programming language to a lower-level programming language.

Here are the top 5 best compilers for Python:

• CPython: This compiler-cum-interpreter is the de-facto Python compiler as it belongs to the reference implementation of Python i.e. CPython

• Brython: Supports – Python 3 to 3.7

• Nuitka: Supports – Python 2.6, 2.7, 3.3 to 3.7

• PyJS: Supports – Up to Python 2.7

• Skulpt: Supports – Up to Python 3.3

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What are strings in Python?

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Strings are sequence of characters enclosed within single quotes(‘ ’), double quotes(“ “) or triple quotes(‘’’ ‘’’) a = ‘Hello World’
b = “This is Sparta”
c = ‘’‘I am
to France

Code Explanation:
Here we start off by creating a string variable called ‘my_string’ and assign the value “My name is John” to it. In a string, each individual character is at a particular index and the index value starts at 0.
So, if we have to extract the first character in the string ‘M’, then, we ‘d have to give this command:
Since, indexing starts at 0, the index value of the first character ‘M’ will be 0.
We would have to give this command:
my_string[-1] to extract the last character from this string.

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What are the basic math operators in Python?

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** and == In python you use == to indicate if it is equal to something but if you use = then it will create a variable and if you use ** a power of b
Thank you , @toby

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How do I create variables in python?

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Programming languages deal with data. So, the question which arises over here is how do we actually store this data if we want to reuse it? Let’s you’re working with some data about employees of your organization and you’d have to store the names of employees, so how will you do that?

Well this is where variables come in. Variables are temporary storage spaces to store values.
Let’s say we create a variable called “employee_name”. Then we can go ahead and store the value “John” inside the variable. After some time, i can replace the value with “Sam”. Again after some time i’ll replace it with “Matt”.

Let’s see how can we create variables in python:
var1 = “Sam”
var1 = “Matt”
var1 = “John”
Since, variable is a temporary storage space, we can change the values which are stored in the variable “var1”.

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Why is learning programming important?

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As someone from a non-technical background, the word ‘Programming’ would itself be enough to send shivers down your spine! So, you must be thinking ‘Why should I even put in effort to learn Programming’?

Well programmers are in high demand all over the world and the median salary of a computer programmer is 100,000k$ per annum. And with the advent of artificial intelligence and the threat of many jobs becoming automated, you don’t have to be scared at all, because it will be you who will help in automating tasks as a computer programmer! Also there are still many systems for the next several decades that still require human intelligence, coupled with the ability to write code that makes this a very secure job option.

Now, that we know the importance of programming, let’s understand what exactly it is!
To answer that, let me ask a question! How do humans communicate with each other? We humans use a common language to speak with each other, isn’t it?

Similarly, if we have to speak with a computer, we need to learn a language which the computer can understand! And this is where a programming language comes in.
So, simply put, we solve real world problems, by speaking with the computer in a language it actually understands.

Let’s take the example of a calculator!
When, you feed in ‘1234 * 4321’ in the calculator. It immediately shows you, the result is ‘5,332,114’. How was the calculator able to do this multiplication?
This was possible because you wrote in a simple program to multiply two numbers which the calculator can understand.

Now, let’s look at some salary statistics for people who are skilled in programming!
According to LinkedIn, the average salary of a computer programmer in the United States is 100,000$ per annum and Rs.8,00,000 per annum in India. Well, this should be a good enough motivation for you to start learning programming!

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How can you apply inheritance in Python?

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class MyEmployee:
def init(self,_fname,_lname):
def Display(self):
return self.Fname,self.Lname,self.Email

class Enginners(MyEmployee):

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What is Python?

Python is an object-oriented programming language that is preferred by most of the developers. Professionals who are freshers in the field of programming, they start learning and practicing code with Python. Its simplicity, versatility, and the community support are the most important features for Python’s popularity. It has a wide range of libraries to further simplify coding in Python.  


What is a Library in Python?

A library is a collection of pre-combined codes that are used to reduce the time required to code. Libraries eliminate the need for writing codes again and again from scratch by accessing pre-written codes that are used frequently. Similar to a physical library, a Python library is a collection of reusable resources having a root source. This makes the foundation of most of the open-source python libraries.


Why should you choose Python?

You should choose Python because it has become the most preferred programming language and enables machine learning applications. Python is swift as compared to other programming languages. Syntax is simpler and the pre-existing libraries eliminate the need for coding every logic from scratch.

Python is a swift compiler and since it is java-based, programmers will be able to extend its applications beyond analytical research, analytical modelling, and statistical modelling. Web applications that are created using Python can be integrated directly to the analytical models in the background.

Python could be easily integrated with other platforms and programming languages. With this common object oriented programming architecture wherein existing IT analysts, IT developers, and IT programmers can easily transition to the analytics domain.

As the structure of coding in Python is object-oriented programming architecture, it has excellent documentation support. 


7 Reasons for Choosing Python

  1. Readable and Maintainable Code
  2. Multiple Programming Paradigms
  3. Compatible with Major Platforms and Systems
  4. Robust Standard Library
  5. Open Source Frameworks and Tools
  6. Simplified Software Development
  7. Test-Driven Development

Importance of Python for Machine Learning

Machine Learning applications are improving traditional processes across industries and solving some of their pressing problems efficiently. Enabling better personalisation, improved search functionality, and smarter recommendations and Python has been instrumental in all developments.

The characteristics of Python that make it an ideal programming language for machine learning are:


  • Simplicity and Consistency
  • Range of libraries and frameworks
  • Platform Independence 
  • Flexibility
  • Visualisation Options


Simplicity and Consistency

Python provides a concise and reliable code that is easy to learn and implement. Machine learning models run on complex workflows and algorithms and Python’s simplicity enables the developers to write error free reliable codes. When working with Python, the effort and time spent on understanding and implementing the code reduces. Developers are able to focus their energies on solving ML problems instead of focusing on the technical nuances of the programming language.

Also, Python enables collaborative implementation . Multiple developers can together work on a single project at the same time. It is a general-purpose language, therefore, it performs complex ML tasks seamlessly and allows quick prototyping and product testing. 

Range of Libraries and Frameworks

It is tricky to implement machine learning algorithms. But with a well structured and well tested environment, coming up with strong coding solutions is possible. Some of the libraries are:

  • Scikit Learn: used to implement linear and logistic regression, classification, clustering, and more
  • Tensorflow: for setting up and training artificial neural networks with massive datasets for deep learning applications
  • Keras: allows fast calculations and prototyping 
  • Matplotlib: helps with visualisation using charts, 2Dplots, and histograms
  • Numpy, Scipy, Pandas: any of the three could be used for high performance scientific computing and data analysis
  • NLTK: helpful while working with computational linguistics and natural language processing and recognition
  • Scikit-image: for image processing
  • Pybrain: for unsupervised and reinforcement learning and neural networks
  • Caffe: allows 60+ million images a day for deep learning applications
  • StatsModels: for data exploration and statistical algorithms

Platform Independence

Python is supported by all platforms including Linux, Windows, and macOS. Python codes are utilised to write standalone executable programs. Also, software built on python could be easily distributed and used on these platforms without the need of an interpreter.

There are organisations that use their own dedicated machines to train their ML models. For such organisations the fact that python is platform-independent makes it easier and cheaper to train the models. 



Python gives programmers a choice between OOPs and scripting. It eliminates the need for recompiling source code so that the developers are able to implement changes with immediate results. Developers can also combine python with other programming languages to reach their desired goals.

Python provides an option of choosing programming styles as well. The programming styles are:

  • Imperative Style
  • Functional Style
  • Object-oriented Style
  • Procedural Style

Python has the least possibility of errors in comparison to other programming languages. 


Better Visualisation

Python’s vast range of libraries provide better visualisation. For those who work in the domains of artificial intelligence, machine learning, or deep learning, it is important to represent data in human readable form. Hence, Python is very important for these professionals and developers. 

Matplotlib is a Python library that allows data scientists to represent data in the form of histograms, plots, and charts for effective representation. Such visualisations provide better comprehension for the stakeholders who carry less or moderate knowledge of machine learning. 

These are some of the reasons why Python is the perfect choice for machine learning as compared to other programming languages. Now let us see what is the best way to learn Python?


Best Way to Learn Python?

Python is very easy to learn and hence very popular. There are many python machine learning tutorials and machine learning with python courses available online. To start with, you can sign up for a python and machine learning course for beginners. Once you understand the basics and what all you need to learn in python and machine learning, you can sign up for an advanced professional course in these domains. 

You should also work on machine learning projects in Python and building machine learning systems with Python. This will help you develop a better understanding of the subject. One would need around six to eight weeks to learn the basics of Python which include syntax, keywords, functions, classes, data types, coding basics, and exception handling.  

Depending on the nature of work, one can develop the advanced skills sets specific to their role. Advanced skills include multithreading, socket programming, database programming, synchronisation techniques etc. 

About the course

Sign up for the Python for Machine Learning free course on Great Learning Academy to kick start your career in this domain. The course has 5 hours of video content where we explain the basics of Python and its applications in machine learning. Along with a quiz, you can also test your learning once you complete the course. 

The curriculum provides an introduction to machine learning with python. The video explains python machine learning by example. Upon completion, you will get a certification from Great Learning which you can share on your LinkedIn profile, on printed resumes and CV, or other documents. 

Along with the basics, the course also covers libraries that are used in machine learning and their applications in ML algorithms. Enrol for this beginner level free python for machine learning course now. 


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