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.
- 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
- Dimensionality Reduction
- 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.
- Data Scientist: Use machine learning techniques to analyse complex data sets and extract insights to support business decisions.
- Machine Learning Engineer: Design, develop, and deploy machine learning models and algorithms to solve real-world problems.
- Artificial Intelligence Engineer:
- business decisions, develop predictive models, and implement machine learning algorithms.
- Business Intelligence Analyst
- Research Scientist:
- Computer Vision Engineer:
- Natural Language Processing Engineer.
- 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: 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
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
A basic understanding of statistics and linear algebra is recommended.
Familiarity with programming concepts is helpful, but not required.
All necessary course materials, including slides and code snippets, will be provided.
Quizzes: 30% | Assignments: 30% | Final Project: 40%
Fresher, Students, Entrepreneurs, Business Owners
Frequently Asked Questions
Look at the most common frequently asked questions of students in 2023-24