Machine learning course

Introduction to Machine Learning

Welcome to the exciting world of Machine Learning! This course is designed to provide you with a comprehensive understanding of the basics of machine learning and its applications in real-world problems. The course is divided into several modules, each of which focuses on a different aspect of machine learning.

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3-Months Course Duration
500+ Learners Trained
Guaranteed Placement
Guaranteed Certification
3-Months Course Duration
5000+ Learners Trained
Guaranteed Placement
Guaranteed Certification

Course Outline

  • Introduction to Machine
  • What is Machine Learning
  • Types of Machine Learning
  • Data Pre-processing: Understanding the data
  • Linear Regression
  • Logistic Regression
  • Decision Trees
  • Random Forest
  • Support Vector Machines (SVM)
  • K-Nearest Neighbors (KNN)
  • Naive Bayes
  • Clustering
  • Dimensionality Reduction
  • Neural
  • Deep Learning
  • Model Selection and Ensemble

You will work on a variety of practical projects throughout the course to put the concepts you have studied into practice. Additionally, you’ll have access to a helpful network of professors and classmates who can provide you advice and answer your concerns.

This course gives you a thorough introduction to the topic of machine learning and gives you the knowledge and abilities you need to seek a fulfilling career in this fascinating and quickly expanding industry. This course gives you the groundwork you need to succeed whether you want to launch a new profession or develop your present one.

 

  1. Data Scientist: Use machine learning techniques to analyse complex data sets and extract insights to support business decisions.
  2. Machine Learning Engineer: Design, develop, and deploy machine learning models and algorithms to solve real-world problems.
  3. Artificial Intelligence Engineer:
  4. business decisions, develop predictive models, and implement machine learning algorithms.
  5. Business Intelligence Analyst
  6. Research Scientist:
  7. Computer Vision Engineer:
  8. Natural Language Processing Engineer.
  9. Recommender Systems Engineer:

You will have a thorough understanding of the various Machine Learning algorithms and approaches by the end of this course and be able to use them to solve practical issues.

Note: The instructor reserves the right to alter the course syllabus as deemed necessary.

MERN Stack development

MERN Stack Development: This well-liked open-source technology stack makes it possible to develop dynamic websites that are scalable, reliable, and effective. What is MERN stack? How does it function? How are these apps organized on the contemporary internet? How everything functions internally and how they are hosted. We’ll pay close attention and comprehend everything!

This course aims to give you the complete knowledge and practical skills what you need to design robust and scalable web applications, regardless of your level of experience Whether you’re a developer with experience hoping to upgrade your skills or someone just attempting to get started.

Tools and Technologies covered

MERN Stack

MongoDB

express js

Express JS

react js

React JS

node js

Node JS

Get Certified and Grow your career

You will receive a certificate from ESS Institute for completing Machine Learning course that will help you find the most relevant jobs like… 

Machine learning Engineer, Deep learning engineer, Senior data scientist, Computer vision engineer, Data scientist

Prerequisites

A basic understanding of statistics and linear algebra is recommended.

Familiarity with programming concepts is helpful, but not required.

Materials

All necessary course materials, including slides and code snippets, will be provided.

Grading Policy

Quizzes: 30% | Assignments: 30% | Final Project: 40%

Course For

Fresher, Students, Entrepreneurs, Business Owners

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Frequently Asked Questions

Look at the most common frequently asked questions of students in 2023-24

It is imperative that before learning the MERN stack, one has a basic understanding of web development. You must therefore have knowledge of HTML5, CSS3, and JavaScript before you can begin learning MERN Stack. Gaining these skill sets will help you learn MERN Stack more quickly as you work your way through its complexities. But if you are a beginner, it won’t be a big issue to get all these things. Your basics will be all cleared with in the course itself.

MERN Stack outperforms rival Stacks in Ul rendering and performance, is still fully open-source, and only requires JavaScript as its programming language. The JavaScript library/framework used by MERN Stack is React.js, as opposed to Angular.js, which is the only distinction between it and MEAN Stack. Therefore, the differences in Ul rendering and performance are found in the framework and library. Although the Angular.js framework and the React.js library are more recent, there are advantages and disadvantages to both. Additionally, Angular.js has a steeper learning curve than React.js, according to some programmers.

MERN Stack is a highly sought-after skill because creating modern web pages and applications is critical for almost every business, large or small. The technologies in this stack are the current industry leaders for dynamic and responsive JavaScript programming. If you’ve worked with other web stacks, learning MERN could be just what you need to advance your career. MERN is a great option if you’re learning web stacks for the first time because of its wide range of applications. MERN Stack developers frequently benefit from high beginning pay, remote work options, and chances for continued professional growth.

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