Machine Learning Certification Course

BY
Digital Vidya

The Machine Learning certification training by Digital Vidya is an ideal course for professionals who want to learn about Machine Learning at an Advanced Level

Mode

Online

Duration

13 Weeks

Fees

₹ 29990

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based

Course overview

The Machine Learning Course will help you become a competent Machine Learning Engineer and open a wide range of job opportunities for you. The course covers all the important concepts related to advanced machine learning. The curriculum includes topics like Statistics Fundamentals, Classification, Recommender Systems, and other machine learning relevant topics.

As a part of the Machine Learning course, you will get 39+ hours of live classes, 13 in-depth modules, 4 hands-on projects, access to 50+ placement partners, 1-1 career mentoring, and 13+ assignments. The assignments provided by Digital Vidya will help you become industry-ready.

Additionally, Digital Vidya offers various capstone projects on Machine Learning to provide experience via hands-on and best possible methods. What’s more, candidates can benefit from Digital Vidya’s placement cell, which provides a 100% interview guarantee.

Most importantly, the Machine Learning certification course will equip you with the core skills to master Python and Jupyter notebooks. The skills gained from this course will help you establish your place in the growing Machine Learning job market.    

The highlights

  • 39+ hours live classes
  • Lifetime access to updated content
  • 15+ hours of assignments
  • Global Trainers
  • 4 capstone projects
  • 50+ placement partners
  • 1-1 Career Mentoring

Program offerings

  • Live classes
  • Lifetime access to updated content
  • 15+ hours of assignments
  • Global trainers
  • 4 capstone projects
  • 50+ placement partners
  • One to one career mentoring

Course and certificate fees

Fees information
₹ 29,990

The Machine Learning course certification fee has two primary elements, namely the course fee and GST. However, the course fee is exclusive of the Vskills certification exam.

Machine Learning Certification Training Programme Fee Structure

Training Course

Fee in INR

Machine Learning Certification Course

Rs. 29,990

GST (18%)

Rs. 5,398.2

Amount Payable

Rs. 35,388.2

certificate availability

Yes

certificate providing authority

Vskills +1 more

Who it is for

Machine Learning Course training is ideal for people who want to pursue a career in the Artificial Intelligence industry. The following people can apply for this course:

Eligibility criteria

Candidates applying for the Machine Learning Course training need to understand Python programming, Algebra, Calculus, and Statistics. 

The applicant can acquire two certifications after the course: Digital Vidya’s Machine Learning Certification and Vskills Machine Learning Certification. To receive the first certification, you need to complete all projects and assignments with a minimum of 80% attendance. For the second certification, you need to clear the Vskills examination. 

What you will learn

Statistical skills Machine learning Knowledge of python

The Machine Learning course certification syllabus will make you capable of the following skills and concepts:

  • Know all the theories associated with Statistics Fundamentals
  • Be able to use Python for Machine Learning
  • Know the theory as well as the practical aspects of Regression
  • Learn how to program the best-fit slope and the best fit line
  • Understand Classification theories
  • Have a thorough understanding of Support Vector Machine
  • Be able to explain the concepts associated with Machine Learning-clustering
  • Understand Content-based recommender system and Collaborative Filtering
  • Have in-depth knowledge of NLP

The syllabus

Statistics Fundamentals

  • 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

Machine Learning with Python

  • Applications of Machine Learning
  • Python libraries ideal for Machine Learning
  • Supervised vs Unsupervised Learning

Regression- Intro and Data

  • 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

  • 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

Support Vector Machine Introduction

  • 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

Machine Learning-Clustering Introduction

  • 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

Recommender Systems

  • Content-based recommender systems
  • Collaborative Filtering

Introduction to NLP

  • 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

Admission details

You can enrol in the Machine Learning course classes through the following steps: 

  1. Open the official website of Digital Vidya on your browser by clicking on this link https://www.digitalvidya.com/

  1. Next, click on the “Courses” tab, select the “Other courses” option and then, open the “Machine Learning Certification Course”.

  1. Scroll to find the "Enroll Now" tab and click on it.

  1. Enter your details and then choose “Apply Now”.

  1. Pay the fee for the course and submit the application form.


Filling the form

You can apply for the Machine Learning course Certification by Digital Vidya and Vskills in three simple steps. Firstly, fill in your contact details, including your name, email address, and phone number. Next, you need to pay the course fee and finally, submit the application form. 

How it helps

The Machine Learning course certification benefits will help you master the two essential tools of Machine Learning – Python and Jupyter notebook. The course covers all the important concepts related to advanced machine learning like Statistics Fundamentals, Classification, Recommender Systems. As a result, the Machine Learning training will help you gain expertise in a highly competitive market.

Moreover, as a professional skilled in Machine Learning, you can expect an annual salary in the range of 5,00,000-12,00,000 INR and work as a Product Analyst, Business Analyst, Data Scientist or a Machine Learning Engineer.

Instructors

Mr Shaheer Ahmad Khan

Mr Shaheer Ahmad Khan
Europe Researcher
Freelancer

Mr Pritesh Shrivastava

Mr Pritesh Shrivastava
Data Scientist
Flipkart Pvt. Ltd.

Ms Vaishali Garg

Ms Vaishali Garg
Instructor
Freelancer

Ms Shweta Gupta
Instructor
Digital Vidya

Mr Manas Garg

Mr Manas Garg
Instructor
Freelancer

Mr Vishal Mishra
CEO and Co Founder
Freelancer

FAQs

What will be the career opportunities after this course?

As a professional skilled in Machine Learning, you can expect an annual salary in the range of 5,00,000-12,00,000 INR and work as a Product Analyst, Business AnalystData Scientist, or Machine Learning Engineer.

What certifications will be awarded after the completion of this course?

The applicant can acquire two certifications after the Machine Learning Certification Programme- Digital Vidya’s Machine Learning Certification and Vskills Machine Learning Certification. 

What skills does the applicant need to have before applying for this course?

Candidates applying for this course need to have the understanding of Python programming, Algebra, Calculus and Statistics. 

Who will be teaching this course?

Global trainers instruct the online Machine Learning Course.

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