Algorithms, NLP, Predictive Modelling, Data Analysis. Machine Learning is a domain with endless possibilities.


You will leave this program with all the tools and knowledge to develop programs and algorithms to suit whatever your needs may be. Machine learning is important because it gives enterprises a view of trends in customer behavior and business operational patterns, as well as supports the development of new products. Many of today's leading companies, such as Facebook, Google and Uber, make machine learning a central part of their operations. Machine learning has become a significant competitive differentiator for many companies.

Machine learning is an important part of data science, a rapidly increasing field. Algorithms are trained using statistical techniques to produce classifications or predictions and to find important insights in data mining projects. The decisions made as a result of these insights influence key growth indicators in applications and enterprises, ideally.As big data continues to grow and improve, data scientists will become more in demand. This result appears minor in light of what is now feasible, yet it is seen as a significant turning point for artificial intelligence.

machine learning internship
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Our certifications can help you enhance your skills, advance your career, and increase your earning potential. Here are just a few reasons to get certified with us:

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Machine Learning Introduction

  • What is Machine learning
  • Introduction to types of ML algorithm
  • Supervised vs unsupervised learning
  • Classification vs régression
  • Python Data types
  • Loops and Functions

Python Data-Types

  • Numbers – Integer, Float, Complex Numbers
  • Boolean
  • String, String operations and Methods
  • Lists Methods
  • Tuples
  • Sets
  • Dictionaries


  • Importing a dataset in python
  • Solving Missing Values
  • Managing Category Variables
  • Training and Testing Datasets
  • Normalizing Variables
  • Normalizing Variables – Code
  • Summary


  • Simple Linear Regression
  • Multiple Linear Regression
  • Decision Trees
  • Random Forest
  • Decision Trees and Random Forest – Python Implementation


  • kNN – How it works?
  • kNN – Python Implementation
  • Decision Tree Classifier and Random Forest Classifier in Python
  • SVM – How it works?
  • SVM – Language Implementation

Machine Learning Implementation

  • Implementation of all the algorithms regarding major project


Learn At Your Own Pace


₹ 5700

  • ✔️ Recorded Sessions
  • ✔️ Hands-on Projects
  • ✔️ Certifications
  • ✔️ Doubt Clearing Sessions
  • ✖ Live Sessions
  • ✖ Mentor Guidance
  • ✖ Placement Assistance
  • ✖ Mock Interview


Get Real Time Assistance


₹ 8500

  • ✔️ Recorded Sessions
  • ✔️ Hands-on Projects
  • ✔️ Certifications
  • ✔️ Live Sessions
  • ✔️ Doubt Clearing Sessions
  • ✔️ Mentor Guidance
  • ✔️ Placement Assistance
  • ✖ Mock Interview


Learn Advance Concepts In The Domains


₹ 11500

  • ✔️ Recorded Sessions
  • ✔️ Hands-on Projects
  • ✔️ Certifications
  • ✔️ Live Sessions
  • ✔️ Doubt Clearing Sessions
  • ✔️ Mentor Guidance
  • ✔️ Placement Assistance
  • ✔️ Mock Interview

Certificate Showcase

Certificate 1
Certificate 2
Certificate 3
Certificate 4

30% Off For New Students

  • Hands-on Projects with Labs Solving.
  • Doubt Clearing Sessions.
  • Placement Assistance.

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