Machine Learning Course: Learn Machine Learning (ML) Online
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Course Highlights

Learn online

At your own schedule

Mobile friendly

No laptop? No problem

Placement assistance

To build your career

Certificate of Training

From Internshala Trainings

5 projects

For hands-on practice

Doubt clearing

Through Q&A forum

Beginner friendly

No prior knowledge required

6 weeks duration

1 hr/day (flexible schedule)

Downloadable content

With lifetime access

Why Learn Machine Learning?

Be in demand

Youtube recommendations, Google search, and surge pricing in Uber - Machine Learning is already used so much in everyday life and its application is only going to increase.

Lucrative salary

The average salary for Machine Learning roles is 11LPA+ according to Glassdoor.

Build the future

Self drive cars or robots that talk and behave like humans, Machine Learning is the future.

Industry recognized & government approved Machine Learning certification

Industry recognized & government approved Machine Learning certification

Internshala Trainings certificate trusted by 100,000+ companies hiring on Internshala.

Government approved certificate from NSDC (National Skill Development Corporation) & Skill India.

What placement assistance will you receive?

Free Placement Prep Training

Learn how to build your resume, make great applications, and ace your interviews.

Curated internships & jobs

Get internships and fresher jobs as per your preference in your inbox.

Get highlighted on Internshala

Top performers will be highlighted in their internship & job applications on Internshala.

How will your training work?

Learn concepts

Go through training videos to learn concepts

Test yourself

Test your knowledge through quizzes & module tests at regular intervals

Hands-on practice

Get hands on practice by doing assignments and project

1:1 doubt solving

Get your doubts solved by experts through Q&A forum within 24 hours

Take final exam

Complete your training by taking the final exam

Get certified

Get certified in Machine Learning upon successful completion of training

Machine Learning Training Syllabus

100 video tutorials

5 projects

After completing the training, you can also download videos for future reference

Get Started with Internshala Trainings
What is Machine Learning
How Machine Learning Works
Types of Machine Learning – Supervised and Unsupervised

Data

3 Topics
2 Demo videos inside
Training Overview Video
Types of Data
Graphical and Analytical Representation of Data
Limitations of Traditional Data Analysis
Introduction to Python and Installing Jupyter Notebook
Basic Libraries in Python (Pandas, Numpy, Matplotlib)
Understanding Basics of Python Programming (Conditional- Iterative Statements and Function)
Basic Data Exploration
Advanced Functions for Data Manipulation
Context Setting and Problem Statement
Data exploration - Target Variable
Data Exploration - Independent Numerical Variables
Data Exploration - Categorical Variables
Splitting of Data
Feature Scaling of Data
Building Your First Predictive Model (Regression) and Evaluate Performance
Introduction to Linear Regression
Understanding Gradient Descent
Assumptions of Linear Regression
Implementing Linear Regression
Feature Engineering
Common Dimensionality Reduction Techniques
Advanced Dimensionality Reduction Techniques
Understanding the Basics of Logistic Regression
Evaluation Metrics
Implementing Logistic Regression
Introduction to Decision Tree
Logic Behind Decision Tree
Implementing Decision Tree
Improving Model Performance by Pruning/Hyperparameters Tuning
Basics of Ensemble Techniques
Random Forest
Implementation of Bagging and Random Forest
Clustering
Understanding K-means
Implementation of K-means

Machine Learning Course Projects Details

Real estate prices

Predict the real estate prices based on multiple characteristics using a regression algorithm

Retention rates of bank customers

Based on the bank customer information like age, gender, demographics, and past transactions, predict their retention rates

Loan eligibility for customers

Based on customer details like gender, education, number of dependants, and more, automate the loan eligibility process for customers

Credit card payment default

Based on customer information like default payments, credit data, history of payment, and more, predict whether customers will default on credit card payment

Classification of population

Using classification techniques, help a marketing team launch a promotional campaign in different regions of the country

Your Teachers

Kunal Jain

Founder, Analytics Vidhya

IIT Bombay (2006), 12+ years of data science experience in reputed companies like Capital One, Aviva Life Insurance etc.

Pranav Dar

Senior Editor, Analytics Vidhya

Experienced professional in data visualization and data science having penned 200+ articles.

Aishwarya Singh

Data Scientist, Analytics Vidhya

Data science enthusiast having penned 70+ articles on applications of machine learning.

Reviews from students
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Machine Learning Training FAQs

Machine Learning is a type of artificial intelligence that can predict or imitate human behavior. It uses historical data and algorithms to get better at predicting outcomes. It helps companies get a knowledge of the current trend and insights so they can make smarter business decisions while developing new products. A few examples of the use of machine learning cases are recommendation settings, spam filters, malware, and fraud detection. This is a growing trend in various industries, thanks to the advancement of technology and to learn more about the important algorithms required to build these predictive models, you can sign up for a machine learning online course.
It\’s definitely an advantage to learn to code if you want to pursue machine learning. Machine learning is implemented by using various coding languages like C++, Java, Python, and many more hence to better understand and optimize the algorithm accordingly you will need to have a basic knowledge of coding at the least.
Here are some examples where machine learning is primarily used:
  1. Image recognition: used for facial recognition, tagging on social media, or recognizing handwriting to solve cases used by law enforcement.
  2. Speech recognition: used for application control like GPS or Siri on iPhones, voice search, and voice dialing by Alexa by Amazon and Home by Google.
  3. Medical diagnosis: used by physicians to recognize symptoms, recommend treatment options, and analyze cancerous tissues.
  4. Predictive analysis: used by Gmail to determine if you have received spam or a threat in your email, used by other apps to determine if an online transaction is fraudulent.
There is a lot of scope for machine learning in the coming future as this has already improved our lives a lot currently. This is a remarkable technology and will continue to grow in the years to come. Here are some future scopes of machine learning:
  1. Chatbots: Companies will no longer have to hire humans to take care of quick questions that a visitor can have which can easily be resolved by a chatbox. This allows for a quick and easy solution without any human intervention.
  2. Transport: Scientists and researchers are working around the clock to invent and perfect self-driving cars that heavily rely on machine learning and artificial intelligence.
  3. Agriculture: Machine learning helps farmers predict the parasites breeding on crops so farmers can better prepare for insect control. This will continue to help farmers yield more crops by also tracking the amount of water usage in a particular agricultural land.
There are 3 types of machine learning:
  1. Supervised Learning: This is a type of machine learning where we feed information to the software to help it learn. This is used in predicting real estate prices, determining the risk factors of a disease, verifying a bank transaction, and predicting the viability of a machine part.
  2. Unsupervised Learning: This is a type of machine learning where the machine learns to recognize the less obvious patterns within data. This is used by companies to predict customers buying the same styled handbags or garments, create groups based on purchase history, and analyze and group the inventory according to sale or manufacturing metrics.
  3. Reinforcement Learning: In this type of machine learning, the machine needs to be trained to take certain actions and maximize rewards. This is used to teach cars to park automatically and used to build games.
Artificial Intelligence is a part of computer science that helps software or a computer system recognize and mimic human intelligence. This technology is used to create intelligent machines that can simulate real-life human intelligence. This has a wide scope of applications and can be used to create machines that can perform complex tasks. Machine learning, on the other hand, is a type of artificial intelligence and is an application of AI. It helps machines learn from historical data without being explicitly programmed or fed with information. Through machine learning, systems can produce accurate results or offer close predictions based on the data. This has a limited scope compared to AI and can only perform certain tasks that they have been programmed to do.
All the software/tools that you need for the training would be shared with you during the training as and when you need it.
You can watch the videos and take quizzes & tests on any device including mobile. However, for assignments and practice, use of desktop or laptop is required.
You don't need a laptop to complete this training but for assignments and practice, you would need a computer with a minimum 1 GB ram and Windows 8 or later (64 bit).
There are no prerequisites for this training as it is of beginner level. Everything that you need to know about Machine Learning would be taught to you from scratch.
You can choose your preferred batch date while signing up for the training program and start accordingly.
As this is a purely online training program, you can choose to learn at any time of the day and for as much time as you want. We will recommend a pace to be followed throughout the program, but the actual timings and learning hours are in your hands.
From your batch start date, you will have access to training's content (videos, quizzes, tests, assignments, projects etc.) in the platform for 6 weeks within which you should be able to complete your training.
As this is a purely online training program, you can choose to spend as much time as you want per day and the more time you spend, sooner you would be able to complete the training. However, on an average, spending 1-2 hours per day should be sufficient for you to complete the training in 6 weeks. Some students also choose to devote more time on the weekends in case they are not able to give time on the weekdays.
Don't worry! If for some reason, you are not able to complete the training in 6 weeks; we would extend your access to the platform for sufficient duration (maximum upto another 6 weeks) so that you can complete it.
Having 6 weeks access ensures you have a deadline to work with and are able to complete the training. It also helps you beat procrastination and maintain continuity in your studies which is why Internshala Trainings students have some of the best training completion rates in the industry.
If you have completed the training, you would be able to download the training content and have lifetime access to it for future reference.
Yes, you would be able to download the training content and have lifetime access to it for future reference.
  • You will receive free access to Placement Preparation Training on the platform which covers resume writing, cover letter writing, how to search and apply for internships and jobs on Internshala, and interview preparation.
  • Access to curated internships & jobs related to the training - after completing the training, you would receive a list of handpicked internships or jobs every week that you can apply to as per your preference.
  • If you are a top performer, a badge of achievement will be added to your Internshala resume and shown to the employers when you apply to internships or jobs on Internshala.
When you score >= 90% in the final test, you will be a top performer and you will get highlighted in your internship and job applications.
While many of our students have found their desired internships or jobs after completing their training, Internshala Trainings does not guarantee an internship or job. However, if you study sincerely (including doing exercises, assignments, and projects) and make good use of our placement assistance feature, it will become easier for you to get a placement using the skills learned in the training.
More than 3 lac companies use Internshala to hire interns and employees and hence they will recognise a certificate from Internshala when they see one on your resume. However, please note that more than the certificate, companies hire candidates based on their skills and their performance in the interview so we hope you do a good job of learning the skill in the training and preparing for the interview using our placement assistance feature.
You could try making the payment from a different card or account (of a friend or family). Otherwise, you can follow the instructions on how to make an offline payment here
Just let us know your registered email id along with the screenshot of the payment receipt or transaction history. You can submit your request using the "Need further assistance?" section. Once verified, the additional amount you paid will be refunded.
The amount deducted will come back to your account within 7-10 working days. This is the normal duration your bank will take to credit the amount back into your account.
At times, there may be a slight delay in your payment reflecting on your Internshala Trainings dashboard. However, if your payment is not reflecting even after 30 minutes, please let us know your registered email id along with the screenshot of the payment receipt or transaction history. You can submit your request using the "Need further assistance?" section. Once verified, we will update your payment status from the backend.
No, you will be only getting a soft copy of the certificate which you can download and print out if required.
To be eligible for NSDC & Skill India certificate, you need to fill in the required additional information including your salutation, date of birth and father's name within 3 days of enrollment. This form will open when you log in to your account. You will also need to complete your final test by the original course end date and score a minimum of 33% in the test. Please also note that the partnership came to effect on 8th May so only trainings purchased on or after 8th May '23 are eligible for the certificate.
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