Become a Machine Learning Engineer - WebTeK Labs

About the Program

This Masters Certificate Program makes you proficient in tools and systems used by Machine Learning Engineers.
You will learn demanding technologies in the market now-a-days like Python, Numpy, Pandas, scipy, sklearn etc.
Also you will learn the concepts like regression model, different classifiers, clustering etc.
This unique learning process of Master Lectures, Hands-on exercises, Mentorship and Workshops ensure fast-track learning.


Elevate your skills with our most in-demand programmes


Python Certification for Machine Learning

Introduction to Python
  • Operators, variables, if elses

  • Loops, functions, modules
  • List, tuple, dictionary
  • Object, class
  • Data analysis using Pandas and Numpy
    • 1D and 2D array in Numpy
    • Functions on array
    • Series and dataframe in pandas

    • Reading csv file
    • Missing value and categorical value
    Data visualization using matplotlib and seaborn
    • Plot histogram, bar, pie chart
    • Boxplot and pairplot
    Linear algebra
    • Linear and quadratic equationt
    • Solving y=mx+c
    • Concepts of slope, intercept
    Statistical analysis
    • Probability
    • Normalization and standardization
    • Variance and standard deviation

    • Correlation matrix
    Maths refresher for Machine Learning
    • Concepts of matrix
    • Types of matrix

    • Scalar and vector

    • Derivatives
    Road map to create machine learning system in Python

Machine Learning Certification

Introduction to machine learning
  • Introduction to machine learning
  • Python for machine learning
  • Introduction to sklearn module
  • Regression
    • Introduction to Regression
    • Simple Linear Regression
    • Model Evaluation in Regression Models
    • Evaluation Metrics in Regression Models
    • Multiple Linear Regression
    • Non-Linear Regression
    • Introduction to Classification
    • K-Nearest Neighbours
    • Evaluation Metrics in Classification
    • Introduction to Decision Trees
    • Building Decision Trees
    • Intro to Logistic Regression
    • Logistic regression vs Linear regression
    • Logistic Regression Training
    • Support Vector Machine
    • Intro to Clustering
    • Intro to k-Means
    • More on k-Means
    • Intro to Hierarchical Clustering
    • More on Hierarchical Clustering
    Recommendation System
    • Intro to Recommender Systems
    • Content-based Recommender Systems
    • Collaborative Filtering

Machine Learning Capstone project

House price prediction
Share market analysis
Stock market prediction
Twitter sentiment analysis
Digit recognition using MNIST dataset
And many more

Program Overview

  • For Professionals & Students
  • 40+ Hours of Learning
  • 10 Case Studies & Assignments for each module & 100 total exercises
  • One-on-One with Industry Mentors
  • Job Placement Assistance with Top Companies
  • No Cost EMI Option

Hands-on Training

We at WebTek Labs allow you to work in the live project that can be showcased to your future employees. Boost your practical knowledge with us and stay ahead in the competition.

Globally recognised certificate

Updated Machine Learning curriculum is designed by the industry leaders to cater to the needs of the industry. Know the current trends and be fit for the industry!

Certified Trainers

An Oracle and Google partner, WebTek Labs assures to provide high-quality training to the students interested in Machine Learning. Get most of this training and excel in career.

Placement Assistance

Our responsibility does not end with imparting training. We go a step ahead by scheduling job interviews and help you to crack the job you desire.

frequently asked questions

Student Reviews

  • 5 STAR


  • 4 STAR


  • 3 STAR


  • 2 STAR


  • 1 STAR


What are the learning objectives for this Machine Learning course?

Becoming a ML Engineer puts you on the path to an exciting career that is predicted to grow sharply into 2025 and beyond. Machine Learning’s application may be found in the wide range of industry like healthcare, transportation, insurance, IT, banking sector. Companies need ML engineer to predict their sales and grow their future.

What are the prerequisites for enrolment?

There is no as such prerequisite to enrol in our Master program. Whether you are student or working professional, if you want to make your career in the field of Data scientist, then you can join this course.

What skills I will learn?

You will learn here the basics of Python language. As well as you will learn about data analytics using some technique of Python. You will also learn machine learning, supervised, unsupervised learning, Logistic regression, Linear Regression, decision tree, Naive bayes etc.

Who should take this Machine Learning master course?

With the demand for AI in a broad range of industries, WebTek’s ML course is well suited for a variety of roles and disciplines, including:

  • Developers aspiring to be a Machine Learning engineers
  • Analytics Managers who are leading a team of analysts
  • Analytics professionals who want to work in machine learning
  • Graduates looking to build a career in machine learning
  • Experienced professionals who would like to harness Artificial Intelligence in their fields to get more insight

What is Capstone project?

A Capstone project is the final project which will give you an opportunity to implement the skills you learned in our Master’s Program. Here you will be doing a real-world problem present a solution to solve all the problem statements mentioned in the project.

What is Master’s Certification?

After completion of this Capstone Project you will be awarded with certificate which will make you job ready in the field of Data Science.

What is the prerequisite for taking up this capstone project?

You should complete our master program in Machine Learning before going for this Capstone project. Alternatively, a learner must be proficient in the field of Python and Machine learning.

Who should take this Capstone Project?

Anyone who is interested in up scaling their skill sets in data science can take this course to become familiar with real-world industry-specific problems and solutions, but they need to fulfil the above prerequisite for Capstone project.

Can I do the individual course and get a certificate for that only?

Yes you can do individual course also and we will be provided the certificate for that course only. Successful submission and evaluation of the assignments and projects shall be required, and these will be verified by our experts.

What projects are included in this program?

Project 1: Predict the median value of owner-occupied homes. (Boston Dataset) Description: - This is a popular dataset used in pattern recognition literature. The data set comes from the real estate industry in Boston (US). This is a regression problem. The data has 506 rows and 14 columns. Thus, it’s a fairly small data set where you can attempt any technique without worrying about your laptop’s memory being overused.

Project 2: Predict the sales of a store. (Bigmart sales dataset)
Description: - Retail is another industry which extensively uses analytics to optimize business processes. Tasks like product placement, inventory management, customized offers, product bundling, etc. are being smartly handled using data science techniques. As the name suggests, this data comprises of transaction records of a sales store. This is a regression problem. The data has 8523 rows of 12 variables.

Project 3:Predict the handwritten digits. (MNIST dataset)
Description: - MNIST is dataset consisting of handwritten digits. We will use some algorithm to predict those digits. There are total 70000 values, among which 60000 are for train and 10000 for test set.

Project 4:Recommend new movies to users. (Movie lens dataset)
Description: - Have you built a recommendation system yet? Here’s your chance! This dataset is one of the most popular & quoted datasets in the data science industry. It is available in various dimensions. We will use a dataset with 1 million ratings from 6,000 users on 4,000 movies.

And many more


Course Advisor

Mousita Dhar

Lead Trainer

She has 10 years of overall industry experience. Expert in the field of Machine learning and Data science using python and R. She has an expertise in doing regression, classification, visualization using R, Python. Have worked on the algorithms like Logistic regression, SVM, Naive Bayes etc. Have done the projects like face detection, handwriting recognition, stock market analysis, sales prediction for a company, recommendation system, text classification and many more

Shivam Bhatia

Sr. Technical Consultant

Experience and energetic trainer with experience in research and development for Machine Learning and machine learning! He worked in different Machine Learning projects in industry. He is IBM certified Artificial Intelligence Analyst. Accomplished researcher who turns challenges into building blocks to learn new technology, master advanced skills and streamline processes. He applies natural talent to translate a love of learning into a love of teaching and allowing others to learn.

training center

Kolkata Center

4, Lee Road, Vaibhav Building, 5th Floor, Near Rabindra Sadan Metro Station, Kolkata 700 020, West Bengal, India.

Delhi Center

GN-12, 1st Floor, Shivaji Enclave, Rajouri Garden, New Delhi 110027, India


Follow Our Website

Toll-Free 18002124700

Want to stay updated about Machine Learning?

Get information on offers, new launches, webinars and more!
* We dont spam so do share correct data
Batches in Nov/Dec/Jan
Call now
3536+ people have already registered
* We dont spam so do share correct data
Batches in Nov/Dec/Jan