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.

TOOLS

Elevate your skills with our most in-demand programmes

COURSES

  • Course 1
  • Course 2
  • Course 3
  • Course 4

Course 1 | Python Certification for Machine Learning

Python Certification for Machine Learning

  • Overview of Python
  • Control structure, Loops in Python
  • Functions and modules in Python
  • Different data structures of Python
  • Class, object, exceptions in Python

Program Overview

  • For Professionals & Students
  • 40+ Hours of Learning
  • 10 Case Studies & Assignments for each module
  • One-on-One with Industry Mentors
  • Job Placement Assistance with Top Companies
  • No Cost EMI Option
  • 1000+
    Students Empowered
  • Online
    Format
  • 40 Hours
    Recommended
  • Mar 31, 2019
    Start Date

Course 2 | Machine Learning Certification- Basics

Machine Learning Certification- Basics

  • Introduction to machine learning
  • Machine learning modules like Numpy, pandas
  • Graphical representation using Matplotlib, Seaborn
  • Data Analysis, data wrangling
  • Use of sklearn in Regression and classification problem

Program Overview

  • For Professionals & Students
  • 40+ Hours of Learning
  • 10 Case Studies & Assignments for each module
  • One-on-One with Industry Mentors
  • Job Placement Assistance with Top Companies
  • No Cost EMI Option
  • 1000+
    Students Empowered
  • Online
    Format
  • 40 Hours
    Recommended
  • Mar 31, 2019
    Start Date

Course 3 | Machine Learning Certification- Advanced

Machine Learning Certification- Advanced

  • Introduction to regression and classification
  • Linear Regression problem
  • Classification using KNN, Logistic regression, Decision tree, random forest
  • Text based classification using Naive bayes
  • Non linear classification using SVM
  • Clustering using K Means

Program Overview

  • For Professionals & Students
  • 40+ Hours of Learning
  • 10 Case Studies & Assignments for each module
  • One-on-One with Industry Mentors
  • Job Placement Assistance with Top Companies
  • No Cost EMI Option
  • 1000+
    Students Empowered
  • Online
    Format
  • 40 Hours
    Recommended
  • Mar 31, 2019
    Start Date

Course 4 Machine Learning Capstone project

Machine Learning Capstone project

  • House price prediction
  • Share market analysis
  • Twitter sentiment analysis
  • Digit recognition using MNIST dataset
  • And many more
  • Clustering using K Means

Program Overview

  • For Professionals & Students
  • 40+ Hours of Learning
  • 10 Case Studies & Assignments for each module
  • One-on-One with Industry Mentors
  • Job Placement Assistance with Top Companies
  • No Cost EMI Option
  • 1000+
    Students Empowered
  • Online
    Format
  • 40 Hours
    Recommended
  • Mar 31, 2019
    Start Date

Machine Learning Capstone Project

Our Machine Learning capstone project will give you an opportunity to be industry ready. In the strict monitoring of our industry expert you will create a Real Life based, Project based on our Master Program. You’ll learn how to solve a real-world, industry-aligned Machine Learning problem, right from data processing and model building to reporting your business results and insights.

With this capstone project you will be exposed to real life projects. you will get to know how to work in real life scenerio.

Program Overview

  • For Professionals & Students
  • 40+ Hours of Learning
  • 10 Case Studies & Assignments for each module
  • One-on-One with Industry Mentors
  • Job Placement Assistance with Top Companies
  • No Cost EMI Option
  • 1000+
    Students Empowered
  • Online
    Format
  • 40 Hours
    Recommended
  • Mar 31, 2019
    Start Date

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

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What are the learning objectives for this Machine Learning course?

Becoming a Machine Learning engineer puts you on the path to an exciting career that is predicted to grow sharply in 3536 and beyond. Machine Learning ’s application may be found in a wide range of industries like healthcare, transportation, insurance, IT, banking sector. Companies need data scientists to manage huge amount of data and grow their future.

What are the prerequisites for enrolment?

There is as such no prerequisite to enroll in our Master program. Whether you are a student or a working professional, and 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 both R and python languages. You will also learn about data analytics using some techniques of R and 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 AI course is well suited for a variety of roles and disciplines, including:

  • Developers aspiring to be 'Data Scientists' or Machine Learning engineers
  • Analytics Managers who are leading a team of analysts
  • Analytics professionals who want to work in machine learning or Machine Learning
  • Graduates looking to build a career in Machine Learning and machine learning
  • Experienced professionals who want 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 Machine Learning .

What are the prerequisite for taking up this capstone project?

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

Who should take this capstone Project?

Anyone who is interested in up scaling their skillsets in Machine Learning can take this course to become familiar with real-world, industry-specific problems and solutions, but they need to fulfill 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 provide you the certificate for that only after the successful submission and evaluation of the assignments and projects and verified by our experts.

What projects are included in this program?

This program consists of 5+ Real life projects in addition to the application projects, to help you master in data analytics, and machine learning. You will go through dedicated mentored classes in order to create a high-quality industry project, solving a real-world problem leveraging the skills and technologies learnt throughout the program. The capstone project will cover all the topics you covered throughout this program to prepare you for the best job in the industry. After successful submission of the project, you will be awarded a capstone certificate that can be showcased to potential employers as a testament to your learning.

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: - 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 3:Predict the traffic on a new mode of transport.(Time Series analysis dataset)
Description: - Time Series is one of the most commonly used techniques in Machine Learning . It has wide ranging applications – weather forecasting, predicting sales, analyzing year on year trends, etc. This dataset is specific to time series and the challenge here is to forecast traffic on a mode of transportation.

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 Machine Learning industry. It is available in various dimensions. We will use a dataset with 1 million ratings from 6,000 users on 4,000 movies.

Project 5:Predict the type of crime.(Chicago crime dataset)
Description: - The ability to handle large datasets is expected from every data scientist these days. Companies no longer prefer to work on samples when they computational power to work on the full dataset. This dataset provides you a much needed hands-on experience of handling large data sets on your local machines. The problem is easy, but data management is the key! This dataset has 6M observations. It’s a multi-classification problem.

Project 6:Predict purchase amount.(Black Friday dataset)
Description: - The capacity to manage huge datasets is expected from data scientist. Companies don’t prefer to work on samples when they computational power to the work on dataset. This dataset offers you hands-on experience of managing huge data sets on local machines. The problem seems to be simple, but data management seems to be the key! This specific dataset has 6M observations. It is indeed the multi-classification problem.

PLACEMENTS

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

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

Online:

Follow Our Website

info@webteklabs.com

Toll-Free 18002124700

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