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154 Learners taking this Package.

Machine Learning Course For Non Developers

  • Gateway for career with Average Annual Salary of INR 25 lakh in India
  • Be a Certified Machine Learning Professional
  • 2 Simulation Projects to give you Hands on Experience
  • Stake Claim for Assured Job Interview with our Hiring Partners
  • Add the Pro Degree Certificate to Your Resume and stay ahead
  • 11+ Hours of Video Content, followed by 2 Simulation Projects

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Course Content

₹ 8999 ₹ 9999 10% Off

4.8 Reviews(8)

Our Students work in following Companies


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Jobs in Machine Learning

  • Machine Learning Professionals earn an average salary in the range of 25-30 Lakhs In India
  • Highest Salary offered to our Machine Learning Graduate so far is 38 lakh INR
  • Areas Include IT Industry, Consultancies, Financial Services, Retail industry, FMCG, Manufacturing and across the spectrum
  • India would see a 240% rise in the demand for ML professionals by 2020
  • According to Indeed, employers demand for Machine Learning talents will increase 10 times over the next four years

What Skills Will You Develop

  • Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling
  • Gain practical mastery over principles, algorithms, and applications of machine learning 
  • Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.
  • Understand the concepts and operation of support vector machines, kernel SVM
  • Master the concepts of naive Bayes, decision tree classifier, random forest classifier, logistic regression
  • Understand the application of K-nearest neighbours, K-means clustering and more.
  • Comprehend the theoretical concepts and how they relate to the practical aspects of machine learning.
  • Be able to model a wide variety of robust machine learning algorithms 
  • Develop an understanding of Deep Learning and Neural Networks 

Who should take this course?

  • Professionals who are passionate to work in Data economy
  • Aspirants for Machine Learning Intelligence
  • Engineers interested in pursuing a career in Deep Learning
  • Mid Management professionals who need Data to drive strategy for organizations
  • Graduates looking to build a career in automation and data science
  • Experienced professionals who would like to harness data and data driven machine intelligence in their fields

Course Content

  • Introduction to Machine Learning

    Data Economy

    Introduction to Artificial Intelligence

    Introduction to Machine Learning

    Evolution from Analytics to Machine Learning

    Machine Learning and its Uses

    Applications of AI and ML

  • Mathematics Review

    Linear Algebra

    Vectors and Matrices

    Probability Theory

    Calculus

    Data Distributions

  • Types of Learning

    Supervised vs Un supervised Learning

    Techniques of Supervised Learning

    Techniques of Un supervised Learning

    Other Types of Learning

  • Data Preparation

    Data Sufficiency

    Feature Engineering

    Feature Scaling

    Datasets

  • Introduction to Machine Learning
  • Mathematics Review
  • Types of Learning
  • Data Preparation
  • Regression
  • Classification
  • Un supervised Learning Clusters
  • Introduction to Deep Learning
  • Classification

    Logistic Regression

    K-Nearest Neighbors

    Decision Tree

  • Un supervised Learning Clusters

    K Means Clustering

  • Introduction to Deep Learning

    What is Deep Learning

    Understanding Neural Networks

Who should take this course?

  • Professionals who are passionate to work in Data economy
  • Aspirants for Machine Learning Intelligence
  • Engineers interested in pursuing a career in Deep Learning
  • Mid Management professionals who need Data to drive strategy for organizations
  • Graduates looking to build a career in automation and data science
  • Experienced professionals who would like to harness data and data driven machine intelligence in their fields

Demo Videos



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Course Instructor- Vivek Singhal

  • A leading Data Scientist and thought leader with expertise in Artificial Intelligence and Machine Learning
  • Creator of the innovative Disrupt talk and training series with topics centered around AI, ML, Deep Learning and AI applications
  • Serial Entrepreneur with strong experience in India and USA in AI, telecom and IOT in leading MNCs like IBM, AT&T, Schlumberger as well as several startups like Healthiply, SalesGlobe and LocVille
  • Education : BE (IIT Roorkee), MBA (Georgia State Univ, Atlanta, USA)

Student Reviews and Ratings

4.8

Average Rating
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  1. Profile photo of

    Prajakta Saluke

    22 June 2018
    5 stars

    Helped me make my much needed shift into ML. I owe it all to this course and Vivek Sir.


  2. Profile photo of

    Snigdha Singh

    21 June 2018
    5 stars

    I was actually looking for a good course on ML after completing courses on Python and DS, from career anna itself. Perfect package.


  3. Profile photo of

    Nidhi

    19 June 2018
    5 stars

    Anyone can take this course who is looking for a step ahead.


  4. Profile photo of

    Harshit Srivastava

    15 June 2018
    4 stars

    If you are looking to carve out a niche for Yourself , then machine learning is the field for you in tech and this course will definitely help you make a solid foundation for the same, as it helped me.


  5. Profile photo of

    Kanika Sharma

    11 June 2018
    5 stars

    A perfect add on to the Data Science and python course.


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