Machine Learning & AI Course in Chandigarh

Unlock your potential in tech with our Machine Learning and Artificial Intelligence Course in Chandigarh. Our Software Training Institute offers practical training to help you succeed in the rapidly changing AI landscape.

Join us to stay ahead in technology and innovation, and become a leader in the AI revolution.

4.8 (868 ratings)

★★★★★ 4.8/5

23 Modules Series

Earn a Certification that demonstrates your expertise.

Beginner Level

No previous experience with coding is required

4 months

1.5 hours/day class

Flexible Schedule

Online/ Offline both modes of classes available.

Join Our Machine Learning and Artificial Intelligence Course in Chandigarh

During the Machine Learning and Artificial Intelligence Course in Chandigarh, you’ll learn about key concepts such as feature engineering, predictive analytics, and cloud-based AI solutions. Our Software Training Institute emphasizes experiential learning, empowering students to develop and deploy their own machine learning models. With expert guidance, you’ll gain the technical proficiency needed to excel in the fast-paced fields of data science and artificial intelligence

What will you learn

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
TYPES OF Machine learning ,
AI VS ML VS DL

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

Types Of Machine laerning

BATCH
ONLINE
INSTANCE BASED ML

Installation & Setup

INSTALLATIONS
TENSORS
FRAME A PROBLEM

MLDLC And Tyes of Data

MACHINE LEARNING DEVELOPMENT LIFE CYCLE
WORKING WITH TYPES OF DATA
JSON, CSV, SQL, API, WEB SCRAPING

EDA And Profiling

UNDERSTANDING THE DATA
EDA
BIVARIATE, MULTIVARIATE AND UNIVARIATE
PANDAS PROFILING

Feature Engineering Part 1

FEATURE SCALING
STANDARDIZATION NORMALISATION
ENCODING DATA
ONE HOT, LABEL ENCODER, ORDINAL ENCODER
COLUMN TRANSFORMERS AND PIPELINES

Feature Engineering Part 2

FUNCTION TRANSFORMERS
LOG TRANSROM, POWER TRANSFORMER, BOX-COX
BINNING, BINARIZATION AND DISCRETIZATION
HANDLING MIXED VARIABLES
HANDLING DATE AND TIME VARIABLES

Feature Engineering Part 3

HANDLING MISSING NUMERICAL DATA
CCA, MEAN MEDIAN MODE IMPUTATION
HANDLING MISSING CATEGORICAL DATA
MODE IMPUTATION, CONSTANT IMPUTATION
HANDLING MISSING DATA
EOD IMPUTATION, RANDOM SAMPLE IMPUTATION
KNN, MICE IMPUTATION

Feature Engineering Part 4

HANDLING OUTL
Z-SCORE METHOD, IQR RULE, PERCENTILE RULE
FEATURE CONSTRUCTION AND SPLITTING

Feature Engineering Part 5

DIMENSIONALITY REDUCTION
CURSE OF DIMENSIONALITY
INTRO TO PCA
PCA GEOMETRIC INTUTION
PCA PROBLEM FORMULATION AND CODE EXAMPLE

Linear Regression

SIMPLE LINEAR REGRESSION INTUTION
SIMPLE LINEAR REGRESSION MATHEMATICS AND PRACTICAL
TYPES OF METRICS (ROC, MAE, MSE, PRECISON, RECALL)
MULTIPLE LINEAR REGRESSION (GEOMETRIC INTUTION)
MULTIPLE LINEAR REGRESSION MATHEMATICS AND CODE
ASSUMPTIONS OF LINEAR REGRESSION

Gradient Descent

BATCH GRADIENT DESCENT MATHEMATICS WITH CODE
STOCHASTIC GRADIENT DESCENT MATHMEATICS WITH CODE

Polynomial Regression

POLYNOMIAL REGRESSION
BIAS VARIANCE TRADE OFF (OVER AND UNDER FITTING)

Advanced Regression

RIDGE REGRESSION GEOMETRIC INTUTION
RIDGE REGRESSION CODE AND GRADIENT DESCENT
KEY POINTS OF RIFGE REGRESSION

Logistic Regression

LASOO REGRESSION CODE AND INTUTION
WHY LASOO REGRESSION CREATES SPARSITY
ELASTIC NET REGRESSION CODE AND INTUTION

Multinomial Regression

SOFTMAX AND MULTINOMIAL REGRESSION
POLYNOMIAL REGRESSION FEATURES AND HYPERPARAMETERS

Decision & Ensemble Learning

DECISION TREES GEOMETRIC INTUTION
DECISION TREES HYPERPARAMTERS AND OVERFITTING
REGRESSION TREES AND VISULAISING THE TREES
ENSEMBLE LEARNING
VOTING ENSEMBLE INTRO, REGRESSION AND CLASIFICATION
BAGGING INTRO, CLASSIFICATION, REGRESSION

Random forest & HyperParametrs

RANDOM FOREST INTUTION AND MATHS
WHY RANDOM FOREST WORKS WELL
RANDOM FOREST VS BAGGING
RF HYPERARAMETERS AND TUNING THE HYPERPARAMETERS
OUT OF THE BAG EVALUATION RANDOM FOREST
FEATURE IMPORTANCCE

Clustering

AGGLOMERATIVE CLUSTERING
KNN FROM SCRATCH MATHS AND CODE
ASSUMPTIONS OF LINEAR REGRESSION SVM GEOMETRIC INTUTION
KERNEL TRICK IN SVM AND MATHEMATICS

Naive bayes Mathematics & XG Boost

NAIVE BAYES
NAIVE BAYES MATHEMATICS + CODE
XG BOOST INTRODUCTION
XG BOOST FOR CLASSIFICATION
XGBOOST FOR REGRESSION
XGBOOST MATHEMATICS

Association Rule Mining

ASSOCIATION RULE MINING
APRIORI AND ECLAT

Reinforcement Learning

REINFORCEMENT LEARNING
UCB AND THOMSON SAMPLING

Mastering Machine learning Tools

Course Features:

Why Choose Netmax for Machine Learning Training In Chandigarh

Colleges from where Students come for Certification Courses at Netmax Technologies Chandigarh

Get exclusive access to career resources upon completion

Resume review

Improve your resume and LinkedIn with personalized feedback

Interview prep

Practice your skills with interactive tools and mock interviews

Career support
Get Job Assistance in the field of your course

Our Student's Reviews

     EXCELLENT  
     Based on 698 reviews 
    
 
 
   
 
 
        
   Nikita Gupta 
 2024-03-29
 
 
 Trustindex verifies that the original source of the review is Google. 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
 
 
 Trustindex verifies that the original source of the review is Google. Amazing experience learning python here. The staff and faculty are really helpful.
  
 
       
   Sukh Banwait 
 2024-03-21
 
 
 Trustindex verifies that the original source of the review is Google. Best training institute for data science highly recommended,also lot of mnc companies come there for hiring python candidates .
  
 
       
   Lovica Narang 
 2024-03-12
 
 
 Trustindex verifies that the original source of the review is Google. My experience of learning here was good
  
 
       
   Ritik Ramesh 
 2024-03-11
 
 
 Trustindex verifies that the original source of the review is Google. 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
 
 
 Trustindex verifies that the original source of the review is Google. One of the best institute in Chandigarh, for any kind of web development course
  
 
       
   Muskan Verma 
 2024-02-28
 
 
 Trustindex verifies that the original source of the review is Google. 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
 
 
 Trustindex verifies that the original source of the review is Google. 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
 
 
 Trustindex verifies that the original source of the review is Google. Excellent teaching and coordinating faculty

Machine Learning & AI Certification

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Netmax Technologies trainees got placed at

We at Netmax Technology provide Job Assistance and most of the students have secure their job in various companies. We have tieups with many companies in Tricity. Some of them have been shown here:

Gallery

Seminar Conducted By Mr. Jagdeep Singh in College

Our Trainer Delivering lecture of Python Programming language

Industrial Visit of Ambala college students to our office

Netmax Classroom, MERN coding classes are taken by MR Nitin in Chandigarh

Netmax students attending coding classes

Industrial visit of PCTE college students to Netmax technologies to gain knowledge for latest technologies

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Frequently Asked Questions

What is the duration of the Machine learning course ?

The course is available for the duration of both 45 days and 3 months including 1.5 hours of classroom training and 1.5 hours of practical assignments.

What are the prerequisites for enrolling in ML course?

For this course, there are no particular requirements. However, having a basic understanding of computers and the internet is helpful.

Is the course available online, or do I need to attend classes in person?

We provide classes both in-person and online. The format that best meets your needs can be selected.

What topics are covered in the Machine Learning course?

The course covers a wide range of topics, details of which can be found on our website.

Will I receive a certification upon completing the course?

Yes, you will receive a certification from our institute after completing the course successfully.

What practical experience will I gain during the course?

You will gain practical expertise with a range of website strategies and tools through the completion of case studies, real-world projects, and assignments.

Who are the instructors for the course?

Our professors are professionals in the field with years of experience. They bring practical knowledge and real-world insights to the classroom.

What kind of support will I receive during the course?

You will be able to communicate with teachers and other students in one-on-one mentorship sessions.

Do you provide career support?

Yes, we provide career support by helping in resume building, interview preparation, and job placement assistance.

How do I enroll in the ML training course?

By going to our website and completing the online registration form, you can register. As an alternative, you can come to our institute to finish the registration procedure.

What is the admission process?

Completing an application, attending a brief interview, and paying the course price are all part of the admissions process.

Are there any scholarships or discounts available?

Yes, we occasionally give out a variety of discounts. To learn more, please get in touch with our admissions office.

What kind of job roles can I expect after completing the Machine learning and AI course?

Completing the Machine Learning and Artificial Intelligence Course in Chandigarh at Netmax opens up various career opportunities:

AI Engineer: Work on creating and deploying AI models.
Machine Learning Engineer: Build systems that can learn from data and improve over time.
Data Scientist: Apply AI and ML techniques to extract insights from data.

Do you provide job placement assistance?

Yes, we offer job placement assistance through our network of industry partners.