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Training Highlights

Learn from home
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Certificate of Training
From Internshala Trainings
Placement assistance
To build your career
100 video tutorials
Learn anytime, anywhere
5 projects
For hands-on practice
Doubt clearing
Through Q&A forum
Beginner friendly
No prior knowledge required
6 weeks access
To the platform
Downloadable content
With lifetime access
Why learn Machine Learning?
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 certificate
Harry Potter
from Hogwarts School of Witchcraft and Wizardry has successfully completed a six week online training on Machine Learning. The training consisted of Introduction to Machine Learning, Data, Introduction to Python, Data Exploration and Pre-processing, Linear Regression, Introduction to Dimensionality Reduction, Logistic Regression, Decision Tree, Ensemble Models and Clustering (Unsupervised Learning) modules.
In the final assessment, Harry scored 80% marks.
We wish Harry all the best for future endeavours.
Date of Certificate: 2021-02-30
Certificate no.: xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
For certificate authentication please visit https://trainings.internshala.com/verify_certificate
Industry recognized certificate

100,000+ companies use Internshala for hiring every year. So a certificate from Internshala is recognized everywhere.

What placement assistance will you receive?
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

Training syllabus

100 video tutorials

5 projects

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

Introduction to Machine Learning

3 Topics
What is Machine Learning
How Machine Learning Works
Types of Machine Learning – Supervised and Unsupervised
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

What projects will you build?

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
Reviews from students
AVERAGE RATINGS
4.5
Have more questions?
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.
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.
To do this training, you would need a computer with a minimum 8 GB ram and Windows 7 or later (64 bit)
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 with-in 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.
If you are not able to complete the training in given 6 weeks, we would extend your access to the platform for sufficient duration (maximum upto another 6 weeks) so that you can complete it.
Yes, you would be able to download the training content and have lifetime access to it for future reference.
No, you will be only getting a soft copy of the certificate which you can download and print out if required.
  • 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. This training comes with a lifetime access meaning you can use it later also if you are not applying for internships or jobs right now.
  • 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 100,000 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.
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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 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 using the "Need further assistance?" section. Once verified, we will update your payment status from the backend.