Machine Learning Course

Learn Machine Learning Through Our World-Class Training Program

Landscape of Machine Learning

  • 2.3 Million Machine Learning Jobs will be created by 2020
  • Average Salary Base for Machine Learning Jobs is $146,085
  • 10,000+ Monthly Machine Learning Job Openings
  • Initial Salary 5,00,000 – 12,00,000 INR Per Annum
  • Machine Learning Engineers Rule The Top 10 AI Jobs List
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18

In-Depth Advanced Modules 

1

Hands-on Project

1-1

Career Mentoring 

54+

Hours of Live Classes

50+

Placement Partners

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15+

Assignment Hours

Exclusive Offers!

100%

Certification Validity 

100%

Job Assistance

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Why Should You Take the Machine Learning Course?

Machine Learning is one of the hottest career choices today. It is one of the fastest-growing tech employment areas with jobs created far outnumbering the talent pool available.

According to Gartner, 2.3 million Machine Learning Jobs will be generated by 2020. Indeed job trends report also reveals that in terms of most in-demand, AI jobs, Machine Learning Engineer tops the chart with 29.10% increase in job postings.

Today, every industry is going gaga after Artificial Intelligence. This makes it ideal to take up a Machine Learning Course.

By bringing better career opportunities, Online Machine Learning Courses have become the shining star of the moment. 

Some Great News for Machine Learning Course Aspirants!

To take up this Machine Learning Online Course, you don’t need any kind of specialization. Just a basic bachelor’s degree is enough.

Our Machine Learning Online Course Enrollments Map

  • Students 30% 30%
  • IT Professionals 40% 40%
  • Non-IT Professionals 30% 30%

18 Modules

Machine Learning Online Course Curriculum Details

  • Graphically Displaying Single Variable
  • Measures of Location
  • Measures of Spread
  • Displaying relationship – Bivariate Data
  • Scatterplot
  • Measures of association of two or more variables
  • Covariance and Correlation
  • Probability
  • Joint Probability and independent events
  • Conditional probability
  • Bayes’ Theorem
  • Prior, Likelihood and Posterior
  • Discrete Random Variable
  • Probability Distribution of Discrete Random Variable
  • Binomial Distribution
  • Continuous Random Variables
  • Probability Distribution Function
  • Uniform Distribution
  • Normal Distribution
  • Point Estimation
  • Interval Estimation
  • Hypothesis Testing
  • Testing a one-sided Hypothesis
  • Testing a two-sided Hypothesis
  • Applications of Machine Learning
  • Supervised vs Unsupervised Learning
  • Python libraries suitable for Machine Learning
  • Regression – Features and Labels
  • Regression – Training and Testing
  • Regression – Forecasting and Predicting
  • Regression – Theory and how it works
  • Regression – How to program the Best Fit Slope
  • Regression – How to program the Best Fit Line
  • Regression – R Squared and Coefficient of Determination Theory
  • Model evaluation methods
  • Classification Intro
  • Applying K Nearest Neighbors to Data
  • Euclidean Distance theory
  • Decision Trees
  • Regression Trees
  • Random Forests
  • Boosting Algorithm
  • Principal Component Analysis
  • Linear Discriminant Analysis
  • Vector Basics
  • Support Vector Machine Fundamentals
  • Constraint Optimization with Support Vector Machine
  • Beginning SVM from Scratch in Python
  • Support Vector Machine Optimization in Python
  • Visualization and Predicting with our Custom SVM
  • Kernels Introduction
  • Soft Margin Support Vector Machine
  • Handling Non-Numerical Data for Machine Learning
  • K-Means with Titanic Dataset
  • K-Means from Scratch in Python
  • Finishing K-Means from Scratch in Python
  • Hierarchical Clustering with Mean Shift Introduction
  • Introduction Naive Bayes Classifier
  • Naive Bayes Classifier with Scikit
  • Introduction into Text Classification using Naive Bayes
  • Python Implementation of Text Classification
  • Content-based recommender systems
  • Collaborative Filtering
  • Text Preprocessing
  • Noise Removal
  • Lexicon Normalization
  • Lemmatization
  • Stemming
  • Object Standardization
  • Text to Features (Feature Engineering on text data)
  • Syntactical Parsing
  • Dependency Grammar
  • Part of Speech Tagging
  • Entity Parsing
  • Phrase Detection
  • Named Entity Recognition
  • Topic Modelling
  • N-Grams
  • Statistical features
  • TF – IDF
  • Frequency / Density Features
  • Readability Features
  • Word Embeddings
  • Important tasks of NLP
  • Text Classification
  • Text Matching
  • Levenshtein Distance
  • Phonetic Matching
  • Flexible String Matching
  • Important NLP libraries
Learn more about our Machine Learning Course Curriculum

15+ Hrs of Hands-on Assignments

Hands-on Machine Learning Course Assignments 

Well researched assignments have the potential to take the participants on an exciting journey to execute their learnings. That’s our mantra at Digital Vidya.

Each assignment of Digital Vidya’s Machine Learning Course is designed with a focus to provide the best practical experience. Our module assignments to learn Machine Learning focus on enhancing the confidence of our participants.

Our Assignments are close to the actual occurrences in the industry out there. These assignments will be a propeller to helping you learn Machine Learning practically. 

Assignment 1
Assignment 2
Assignment 3
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Laid Back Learning 

Case Studies of Our Machine Learning Course

Case Studies play an important role in developing the skills & knowledge of a learner. Digital Vidya’s Machine Learning Online Course offers the best-in-class case studies to our students with an aim to provide exceptional practical experience.

Case Study 1
Case Study 2
Case Study 3
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Machine Learning Course Schedule

Online Live Machine Learning Classes

54+ Hours of in-depth live sessions

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Duration of Our Machine Learning Training

12 Weeks

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Machine Learning Course Assignments

15+ Hours

Get Enrolled in this Machine Learning Course 

 

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Machine Learning Training Schedule

Why Learn Machine Learning Online?

Get serious about learning Machine Learning. Seek the expertise from the best trainers out there! 

Digital Vidya has a legacy of 9+ years in which we have trained 35,000+ Professionals from 55+ Countries of the World. 

We counsel 100s of candidates every day : )

Global Trainers

Learn directly from expert Machine Learning Trainers recognised for their expertise Globally.

Attend from Anywhere

Enjoy the power of mobility and learn while you are on the move. 

No Need to Travel

Save time that would otherwise be wasted in commuting. 

Interactive & Practical

15+ hours of assignments ensure that you learn hands-on.

No Time Constraints

Say bye-bye to time constraints. Revise at your own pace. 

Lifetime Updates

Get access to revised content for your entire life. 

Industry Expert as Your Machine Learning Trainer

Top Trainer Known Across the Industry

Get trained by world-renowned Machine Learning Trainers. All our Online Machine Learning Course trainers have 10+ years of industry experience. Btw, in case you don’t like the training, you can opt out within 3 days and request a full refund.

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2 Certifications

Machine Learning Certifications

Digital Vidya's Machine Learning Certification

How to get this Certificate?

On successful completion of all assignments and the project, the participant will get a Machine Learning Certificate issued by Digital Vidya.

Vskills Machine Learning Certification

How to get this Certificate?

On successful passing of the Vskills examination, the participant will get a Machine Learning Certificate issued by Vskills. (A nominal examination fee involved) 

For further information on Machine Learning Certifications

What do our students say about us?

It was a tremendous journey right from the beginning. A huge opportunity opened in front of us in the Data Science world.

Mohan Kumar

Senior Software Engineer

Great experience. Easy and organized learning, great approach.

Prerna Sathiyal

Student

Digital Vidya gave me a comprehensive knowledge of Data science within a very short period of time.

Rahul God

Founder COO

Case studies and projects improved my skills and gave me the confidence to call myself a data scientist.

Arvind S

Academician

This course is best for beginners and it will give you complete exposure of every field of Data Science and Machine Learning.

Anshul Singh

Student

It was a great experience. Got to learn many new things going on in the present industry.

Lipi Sahu

Student

What do Industry Leaders say about Digital Vidya?

Digital Vidya is doing a great job at bringing data analytics to the rest of the world!

Akshay Sehgal, General Manager

Digital Vidya is doing a great job of bringing people from diverse set of experiences to one platform for creating the best of Data Science skill pipeline.

Ambuj Kathuria, Head – Data & Analytics

Creating a talent pool in India with Practical hands-on experience in Analytics and Data Science is the need of the hour. Platforms like Digital Vidya are critical to filling this gap.

Ravi Vijayaraghavan, President and Head – Analytics and Decision Sciences

Machine Learning Course FAQs

Who can do a Machine Learning Course?

The Machine Learning Online Course is perfect for people who want to build their career in the Artificial Intelligence industry. We recommend this course to students BE/BTech/MCS/MCA, software professionals, IT professionals, Data Professionals and engineers.

What is the Salary of a Machine Learning Engineer?

Your salary will completely depend on your skills. Machine Learning jobs for freshers may vary between ₹ 699,807- 891,326. With a good knowledge of data analysis, algorithms and a few years of experience, you may expect a salary of ₹ 1,759,777 monthly or ₹ 9, 00,000 per annum.

How long is the Machine Learning Course?

This Machine Learning Course will take between 3-4 months to complete. The instructor-led sessions are of 50+ hrs. You will also have to work on assignments and case studies.

What job opportunities will I get after completing the Machine Learning Course?

After successful completion of the Machine Learning Course, you will get opportunities of being a Business Analyst, Product Analyst, Machine Learning Engineer or a Data Scientist.

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Discuss with a Career Advisor

Not sure, what to learn and how it will help you?