Machine Learning & AI Mastery in Chandigarh

Learn Machine Learning , Artificial Intelligence & Data Science

4.8 (868 ratings)

★★★★★ 4.8/5

Empower Your Tomorrow: Dive into Machine Learning & AI in Chandigarh!"

The Machine Learning course at Netmax Technologies equips students with the ability to program and deploy machine learning algorithms using Python. The course covers a variety of topics including supervised and unsupervised learning, neural networks, deep learning, and reinforcement learning.

Students will learn through case studies and projects that simulate real-world problems from industries such as finance, healthcare, and automotive. By the end of the course, participants will be proficient in using popular machine learning libraries like TensorFlow and Keras, and will have a portfolio of projects to showcase their expertise.

What will you learn

This Course includes :

Description

Machine Learning is considered the branch of computer science and AI artificial intelligence. It focus on the use of algorithms and data. So they can learn, imitate human learning, and also improve accuracy.

Machine learning is a computer algorithm that can improve by itself with the help of past experiences and user data. Machine learning is considered a part of artificial intelligence . In addition, it is used in email filtering, voice recognition, computer vision, and several other self-learned operations.

Machine learning & AI Course Overview

Introduction To Python

Overview – What is python?
Evolution of python.
IDE installation

Variables Types

Introduction to variables.
Declaring & consume a variable.
Different types of data type in python.
Mapping Types
Literals- Numeric, boolean & String

Conditional Statements

Introduction to conditional statements
Decision control instructions
Conditional expression
If, If- else, Nested if – else
Repetition control

Arrays In Python

Accessing strings
Basic Operations
String Slices
Function and Methods

List & Tuple

Creating Lists using range
Updating the elements of lists
Concepts of concatenation, repetition
Aliasing and cloning

OOPS

What is procedure oriented approach
Encapsulation
Abstraction
Inheritance – constructors, methods

Classes and Objects

Creating class
Variable and constructor
Instance, class, static methods

Exception Handling

Errors in coding
User defined exceptions
Grammar of python

Module

Define module.
Calling a module using import
Symbol table
Use user-define module.

Introduction to Machine Learning and AI

Definitions, history, and applications of ML and AI
Supervised, unsupervised, and reinforcement learning
Ethical considerations in ML and AI

Fundamental Machine Learning Algorithms

Linear regression
Logistic regression
Decision trees and random forests
Support vector machines
K-means clustering
Principal component analysis

Neural Networks and Deep Learning

Perceptrons and multi-layer neural networks
Activation functions and backpropagation
Convolutional neural networks
Recurrent neural networks
Transfer learning and pre-trained models

Natural Language Processing (NLP)

Text preprocessing and feature extraction
Sentiment analysis
Language models (e.g., BERT, GPT)
Machine translation
Chatbots and conversational AI

Database Connectivity

Advantages of Database over files
Types of databases used with python
Installation of MySQL

Computer Vision

Image classification and object detection
Semantic and instance segmentation
Generative adversarial networks (GANs)
Reinforcement learning in computer vision

Applications of ML and AI

Healthcare (e.g., disease prediction, drug discovery)
Finance (e.g., fraud detection, stock trading)
Autonomous vehicles
Recommendation systems
Robotics and control system

Ethics and Responsible AI

Bias, fairness, and transparency in ML/AI
Privacy and data protection
Explainable AI
Governance and regulation of AI systems

Hands-on Projects and Case Studies

Implementing ML algorithms from scratch
Deploying ML models in real-world applications
Exploring state-of-the-art AI techniques

How much does a Machine learning engineer make? The national average salary for a Machine learning engineer is ₹11,00,000 in India. Filter by location to see Machine learning engineer salaries in your area. Salary estimates are based on 1,977 salaries submitted anonymously to Glassdoor by Machine learning engineer employees.

Course Features:

Why Choose Career in Machine learning language ?

Benefits of Machine learning Training in Chandigarh

Here are some of the benefits which you will enjoy after completing the ML Course-

Future Scope and Career Opportunities

Machine learning is one of the fields which has never ending demand in the IT sector.

Advantages of AI & ML

Applications of AI & ML

1. Facilitates Accurate Medical Predictions and Diagnoses

The main function of ML for the healthcare industry is in identifying the patients at high risk, predicting readmission’s and suggesting the best medication and giving a suitable diagnosis. As a result, ML helps in improving patients’ health at minimum cost.

3. Improves Precision of Financial Rules and Models

ML can improve the precision of financial rules and models by continuously analyzing market data and adapting algorithms to identify more accurate patterns and insights that enhance investment strategies and risk management

5. Increases the Efficiency of Predictive Maintenance in the Manufacturing Industry

Intelligent, self-optimizing machines help to improve increases automate production processes. Besides this, Forecasting efficiency losses and future prediction for better planning. In detail, detecting quality defects to facilitate predictive maintenance

7. Recommending the Right Product

ML powers personalized product recommendation systems that analyze user behavior and preferences to suggest the most relevant and appealing items, enhancing the customer experience and improve increased sales.

2. Simplifies Time-Intensive Documentation in Data Entry

Machine Learning can simplify time-intensive documentation and data entry tasks in healthcare by automating relevant information from medical records, reducing administrative burdens and allowing healthcare providers to focus more on patient care.

4. Easy Spam Detection

Machine Learning algorithms can effectively detect and filter out spam messages by analyzing patterns in email and online communication, helping to protect users from unwanted and potentially harmful content.

6. Better Customer Segmentation and Accurate Lifetime Value Prediction

Machine Learning enables businesses to perform more accurate customer segmentation and lifetime value prediction by analyzing vast amounts of customer data to identify behavioral patterns, predict future trends

Why Choose Netmax for Machine Learning Course In Chandigarh

Our Student's Reviews

     Excellent  
     Based on 698 reviews 
    
 
 
   
 
 
        
   Nikita Gupta 
 2024-03-29
 
 
  I have done data science course from here, and I have learned about technologies like pyhton,Ml,Dl and about database, the way of teaching and doubt clearing is very good and they teach you how to make projects by using these technologies.
  
 
       
   Kshitij 
 2024-03-26
 
 
  Amazing experience learning python here. The staff and faculty are really helpful.
  
 
       
   Sukh Banwait 
 2024-03-21
 
 
  Best training institute for data science highly recommended,also lot of mnc companies come there for hiring python candidates .
  
 
       
   Lovica Narang 
 2024-03-12
 
 
  My experience of learning here was good
  
 
       
   Ritik Ramesh 
 2024-03-11
 
 
  I had enrolled myself in NetMax Institute in Feb, 2023. NetaMax helped to learn and improve my analytical skills as well in Research. Now I am in internship in Alied Analytics, Pune.
Great to have amazing guidance and teachers!
Friendly Behavior!!
  
 
       
   Akshat Sharma 
 2024-03-09
 
 
  One of the best institute in Chandigarh, for any kind of web development course
  
 
       
   Muskan Verma 
 2024-02-28
 
 
  Learning at netmax institute was very much satisfied ,every student get good placement at well reputed companies.Netmax institute provides us internship for better future and experience. Here  faculties who are very educated and knowledgeable and experienced. They are very helpful and understandable well communication.
  
 
       
   Karan Bhardwaj 
 2024-02-13
 
 
  I have done Web Development in Python and Djnago framework.. faculties are helpful and trustworthy..best training institute in chandigarh
  
 
       
   Aditi Sharma 
 2024-02-09
 
 
  Excellent teaching and coordinating faculty

Tools Used

FAQ

What is machine learning and how does it works?

Machine Learning (ML) is a field of artificial intelligence that enables computers and systems to learn and improve from experience without being clearly programmed. It works by developing algorithms and statistical models that allow machines to perform specific tasks effectively by analyzing data.

Do the same faculty teach online and offline campus?

In some cases, the same faculty may teach both the online and offline (on-campus) versions of a machine learning course. This can help ensure consistency in curriculum, teaching approach, and student support.

How do I apply for machine learning course?

Candidates can talk to our counselor regarding their admission .

What kind of companies hire machine learning professionals?

ML professionals are hired by tech companies, financial institutions, healthcare organizations, and various other industries that rely on data-driven decision-making

What background knowledge is necessary?

Any Graduate or working professional wants to pursue career in data science.

What is the average salary of a machine learning programmer?

The average salary for a machine learning programmer can vary widely depending on factors like experience, location, and the specific role.