Machine Learning Online Course

Our Machine Learning course will help you master the skills required to become an expert in this domain. Start Your Career Today.

Course Overview

icon Online Live Instructor Online Training

icon Impartation of practical knowledge & skills

icon Training by Real-time experts in the domain

icon Assistance in practice with Real-time examples

icon Help in understanding technology workflow

icon Guidance according to future requirements

icon Customized feedbacks on assignments

icon Reliable and affordable services

icon Services according to clients’ needs

icon Solving the problem at given amount of time

Problems in understanding the new technology you have been assigned ? Dont worry, we are there to help you solve your problem.

Syllabus

Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects

Introduction to Machine Learning

1.1 Need of Machine Learning
1.2 Introduction to Machine Learning
1.3 Types of Machine Learning, such as supervised, unsupervised, and reinforcement learning, Machine Learning with Python, and the applications of Machine Learning

Supervised Learning and Linear Regression

2.1 Introduction to supervised learning and the types of supervised learning, such as regression and classification
2.2 Introduction to regression
2.3 Simple linear regression
2.4 Multiple linear regression and assumptions in linear regression
2.5 Math behind linear regression

Classification and Logistic Regression

3.1 Introduction to classification
3.2 Linear regression vs logistic regression
3.3 Math behind logistic regression, detailed formulas, the logit function and odds, confusion matrix and accuracy, true positive rate, false positive rate, and threshold evaluation with ROCR

Decision Tree and Random Forest

4.1 Introduction to tree-based classification
4.2 Understanding a decision tree, impurity function, entropy, and understanding the concept of information gain for the right split of node
4.3 Understanding the concepts of information gain, impurity function, Gini index, overfitting, pruning, pre-pruning, post-pruning, and cost-complexity pruning
4.4 Introduction to ensemble techniques, bagging, and random forests and finding out the right number of trees required in a random forest

Naïve Bayes and Support Vector Machine (self-paced)

5.1 Introduction to probabilistic classifiers
5.2 Understanding Naïve Bayes and math behind the Bayes theorem
5.3 Understanding a support vector machine (SVM)
5.4 Kernel functions in SVM and math behind SVM

Unsupervised Learning

6.1 Types of unsupervised learning, such as clustering and dimensionality reduction, and the types of clustering
6.2 Introduction to k-means clustering
6.3 Math behind k-means
6.4 Dimensionality reduction with PCA

Natural Language Processing and Text Mining (self-paced)

7.1 Introduction to Natural Language Processing (NLP)
7.2 Introduction to text mining
7.3 Importance and applications of text mining
7.4 How NPL works with text mining
7.5 Writing and reading to word files
7.6 Language Toolkit (NLTK) environment
7.7 Text mining: Its cleaning, pre-processing, and text classification

Introduction to Deep Learning

8.1 Introduction to Deep Learning with neural networks
8.2 Biological neural networks vs artificial neural networks
8.3 Understanding perception learning algorithm, introduction to Deep Learning frameworks, and TensorFlow constants, variables, and place-holders

Time Series Analysis (self-paced)

9.1 What is time series? Its techniques and applications
9.2 Time series components
9.3 Moving average, smoothing techniques, and exponential smoothing
9.4 Univariate time series models
9.5 Multivariate time series analysis
9.6 ARIMA model and time series in Python
9.7 Sentiment analysis in Python (Twitter sentiment analysis) and text analysis

0

Hours of Content

0

Case Study and Projects

0

Live Sessions

0

Tools and Software

Specialisation

You can choose one or more specialisations, as per your background and career aspirations

  • Data Engineering

  • Classes and Objects

    6hr 5min

  • Inheritance and Polymorphism

    6hr 10min

  • Arrays and Linked Lists

    6hr 5min

Call us for any query

Get personalised career path from experts.

+1 (973) 363 3994/6/8

  • Data Engineering

  • Classes and Objects

    6hr 5min

  • Inheritance and Polymorphism

    6hr 10min

  • Arrays and Linked Lists

    6hr 5min

Call us for any query

Get personalised career path from experts.

+1 (973) 363 3994/6/8

  • Data Engineering

  • Classes and Objects

    6hr 5min

  • Inheritance and Polymorphism

    6hr 10min

  • Arrays and Linked Lists

    6hr 5min

Call us for any query

Get personalised career path from experts.

+1 (973) 363 3994/6/8

  • Data Engineering

  • Classes and Objects

    6hr 5min

  • Inheritance and Polymorphism

    6hr 10min

  • Arrays and Linked Lists

    6hr 5min

Call us for any query

Get personalised career path from experts.

+1 (973) 363 3994/6/8

  • Data Engineering

  • Classes and Objects

    6hr 5min

  • Inheritance and Polymorphism

    6hr 10min

  • Arrays and Linked Lists

    6hr 5min

Call us for any query

Get personalised career path from experts.

+1 (973) 363 3994/6/8

  • Data Engineering

  • Classes and Objects

    6hr 5min

  • Inheritance and Polymorphism

    6hr 10min

  • Arrays and Linked Lists

    6hr 5min

Call us for any query

Get personalised career path from experts.

+1 (973) 363 3994/6/8

Industry Projects

Learn through real-life industry projects sponsored by top companies across industries

  • Engage in collaborative projects with student-mentor interaction
  • Benefit by learning in-person with expert mentors
  • Personalised subjective feedback on your submissions to facilitate improvement
  • Get what you want at your convenience.

Top Skills You Will Learn

Predictive Analytics using Python, Machine Learning, Data Visualization, Big Data, Natural Language Processing

Who Is This Program For?

Engineers, Marketing & Sales Professionals, Freshers, Domain Experts, Software & IT Professionals

Job Opportunities

Data Analyst, Data Scientist, Data Engineer, Product Analyst, Machine Learning Engineer, Decision Scientist

Uber Supply-Demand Gap

Use analytics to identify why Uber sometimes faces a supply-demand challenge…

Read More

Who Is This Program For?

Engineers, Marketing & Sales Professionals, Freshers, Domain Experts, Software & IT Professionals

Job Opportunities

Data Analyst, Data Scientist, Data Engineer, Product Analyst, Machine Learning Engineer, Decision Scientist

Read More

The Benchteq Advantage

Strong hand-holding with dedicated support to help you master the subject.

Best Trainers Screened By Us Perfect For You

  • Benchteq is always ready to serve you pick up your phone, to get quality services from real time experts.
  • Receive unparalleled guidance from industry mentors, teaching assistants and graders
  • Receive one-on-one feedback on submissions and personalised feedbacks on improvement
  • A dedicated Success Mentors is allocated to each student so as to ensure consistent progress
  • Success Mentors are your single points of contact for all your non-academic queries
doubt resolution

Be future ready. Start learning

Instructor Android Development live online classes

  • Q&A Forum
    • Timely doubt resolution by Industry experts and peers
    • 100% Expert-verified responses to ensure quality learning
    Expert Feedback
    • Personalised expert feedback on assignments and projects
    • Regular live sessions by experts to clarify concept related doubts
networking

Over 500 Careers Transformed

  • Get personalised career paths traced by experts to ascertain the best opportunities
  • Obtain specific, personalised inputs on your resume structure and content
  • Get unlimited mock interview sessions with hiring managers and receive detailed feedback
  • Get an opportunity to interview for Benchteq’s 100+ hiring partners with Benchteq & more

Student Reviews

Career Counselling

Get personalised career pathing from experts to chart out the best opportunities.

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Resume Feedback

Obtain specific, personalised inputs on your resume structure and content

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Interview Preparation

Get unlimited mock interview sessions with hiring managers and receive detailed feedback

Read More

Job Assistance

Get an opportunity to interview for upGrad’s 300+ hiring partners with Benchteq Career Fairs & more

Read More

Career Counselling

Get personalised career pathing from experts to chart out the best opportunities.

Read More

Resume Feedback

Obtain specific, personalised inputs on your resume structure and content

Read More

Interview Preparation

Get unlimited mock interview sessions with hiring managers and receive detailed feedback

Read More

Job Assistance

Get an opportunity to interview for upGrad’s 300+ hiring partners with Benchteq Career Fairs & more

Read More

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Frequently Asked Questions

About the Program

The program has been specifically designed to cater to the needs of learners across job roles and industries. The program would be particularly helpful for the career growth of the following audience:

  • Fresh graduates from college
  • Currently working in IT service roles like Testing, Maintenance, Support
  • Existing software developers working in IT/Tech industry
  • Current Project Leads and Managers in IT/Tech Companies

Admission Process and Eligibility

The program has been specifically designed to cater to the needs of learners across job roles and industries. The program would be particularly helpful for the career growth of the following audience:

  • Fresh graduates from college
  • Currently working in IT service roles like Testing, Maintenance, Support
  • Existing software developers working in IT/Tech industry
  • Current Project Leads and Managers in IT/Tech Companies

What should I expect from this program?

The program has been specifically designed to cater to the needs of learners across job roles and industries. The program would be particularly helpful for the career growth of the following audience:

  • Fresh graduates from college
  • Currently working in IT service roles like Testing, Maintenance, Support
  • Existing software developers working in IT/Tech industry
  • Current Project Leads and Managers in IT/Tech Companies

What is the weekly time commitment expected from me?

The program has been specifically designed to cater to the needs of learners across job roles and industries. The program would be particularly helpful for the career growth of the following audience:

  • Fresh graduates from college
  • Currently working in IT service roles like Testing, Maintenance, Support
  • Existing software developers working in IT/Tech industry
  • Current Project Leads and Managers in IT/Tech Companies
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