Machine Learning Course in Chandigarh

Unlock the power of data with Machine Learning Training at 4Achievers, the leading Machine Learning Training institute in Chandigarh. Our comprehensive course covers all key aspects of Machine Learning, from basic concepts to advanced algorithms, helping you build a strong foundation for a successful career in AI and data science. Whether you're a beginner or looking to enhance your skills, our expert trainers provide hands-on experience with real-world projects to ensure you master the techniques and tools used in the industry.

Why Choose 4Achievers for Machine Learning Training in Chandigarh?

  • Expert Trainers: Learn from industry professionals with years of experience in Machine Learning and AI.
  • Hands-on Projects: Work on live projects to gain practical knowledge and build a strong portfolio.
  • Latest Tools & Techniques: Learn using the most up-to-date libraries and frameworks like Python, TensorFlow, and Scikit-learn.
  • Placement Assistance: Get support in securing job opportunities through dedicated placement assistance.
  • World-Class Infrastructure: Access to state-of-the-art labs and learning resources for a seamless learning experience.

For more information about Machine Learning Training in Chandigarh, contact us at:

📞 Call Us: 8010805667
📧 Email Us: info@4achievers.com

Start your journey into the world of AI and Machine Learning with 4Achievers today!

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Pardeep hired as Software Engineer at Testrinx Software Solutions

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Testrinx Software Solutions
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Experience Professional
Batch 2025
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Codesplice Technologies Pvt Ltd
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Batch 2025
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Shariq Ali Khan

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Accenture
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Chetan pandey

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Sri Aurobindo Society
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Aditya shivam

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YOMA
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NEWGEN
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Batch 2025
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The first week was overwhelming, but the way they taught Python from scratch changed my perspective. I didn't just learn syntax; I learned how to think like a developer.

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That support system is rare. We built a Real-time E-commerce App as a capstone project. Seeing my code run live gave me confidence I never had before.

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DevOps Engineer

Spinny • Gurgaon/gurugram

Full Time
3.5 LPA 0-3 Yrs Exp Remote

Experience of Dev Ops technologies, architectures and processes for 3 yrs Cloud Infrastructures Solutions: AWS EC2 ECS, S3 Cloudfront, RDS, Spot Instances, VPC, IAM, Security Groups, ELB etc), GCP, CI/CD Jenkins Containerization: Docker, Kubernetes System

Posted 2 years ago

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Laxmi Infotech • Chennai | Delhi/ncr | Mumbai

Full Time
3.5 LPA 0-3 Yrs Exp Remote

Experience: 0 to 4 years Qualification:B.SC, B.Tech/BE/MCA Skills in one or more of JavaScript,CSS, Web application framework viz. Sencha EXT JS, JQuery etc., Delphi,C,C++,or Java..net,testing Cloud Administrator-managing Windows based Servers

Posted 2 years ago

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Pcc Softech • New Delhi

Full Time
3.5 LPA 0-3 Yrs Exp Remote

Design, execute and report software tests. Review business / software requirements and provide inputs. Prepare test cases, test scripts and test data. Report defects and assist in their understanding. Analyse test results and track software testing metric

Posted 2 years ago

Software QA Engineer/ Software Tester

MY HR Solutions • New Delhi

Full Time
3.5 LPA / Yrs Exp Remote

Design, execute and report software tests, Review business / software requirements and provide inputs. Prepare test cases, test scripts and test data., Execute tests (manual / automated). Report defects and assist in their understanding., Analyse test re

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Our students are working in top MNCs and Startups across the globe.

Machine Learning Training in Chandigarh Curriculum

Comprehensive 40+ hours of live content designed by industry experts.

Machine Learning Training in Chandigarh Certification Course

5.2k+ Learners Weekend/Weekdays Batches Live Instructor-led
4.9 (2,840 Verified Reviews)

Detailed Syllabus

Click on modules to view detailed topics.

01

Introduction to Machine Learning

7 Topics • Hands-on Lab

  • Supervised Learning
  • Unsupervised Learning
  • Semi-supervised Learning
  • Reinforcement Learning
  • Model Evaluation and Hyperparameter Tuning
  • Deep Learning
  • Feature Engineering
02

Supervised Learning

8 Topics • Hands-on Lab

  • Regression
  • Classification
  • Support Vector Machines
  • Decision Trees
  • Naive Bayes Classifiers
  • Ensemble Methods
  • Model Evaluation and Selection
  • Feature Engineering
03

Unsupervised Learning

10 Topics • Hands-on Lab

  • Clustering
  • K-Means Clustering
  • Hierarchical Clustering
  • Density-based Clustering
  • Mixture Models
  • Dimensionality Reduction
  • Principal Component Analysis
  • Factor Analysis
  • Multidimensional Scaling
  • Autoencoders
04

Feature Engineering

9 Topics • Hands-on Lab

  • Data Preprocessing
  • Feature Selection
  • Feature Extraction
  • Feature Transformation
  • Feature Creation
  • Feature Scaling
  • Feature Interaction
  • Feature Encoding
  • Feature Aggregation
05

Model Evaluation & Selection

6 Topics • Hands-on Lab

  • Bias-Variance Tradeoff
  • Cross-Validation
  • Regularization
  • Hyperparameter Tuning
  • Performance Metrics
  • Model Selection Strategies
06

Deep Learning

6 Topics • Hands-on Lab

  • Introduction to Deep Learning
  • Artificial Neural Networks
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • Generative Adversarial Networks
  • Applications of Deep Learning
07

Natural Language Processing

12 Topics • Hands-on Lab

  • Introduction to NLP
  • Text Preprocessing
  • Text Representation
  • Vector Space Model
  • Language Modeling
  • Part of Speech Tagging
  • Syntax Analysis
  • Semantics Analysis
  • Information Retrieval
  • Text Classification
  • Text Summarization
  • Applications of NLP
08

Reinforcement Learning

8 Topics • Hands-on Lab

  • Introduction to Reinforcement Learning
  • Markov Decision Process
  • Dynamic Programming
  • Monte Carlo Methods
  • Temporal Difference Learning
  • Q-Learning
  • Exploration and Exploitation Trade-Off
  • Deep Reinforcement Learning
09

Time Series Analysis

9 Topics • Hands-on Lab

  • Introduction to Time Series Analysis
  • Time Series Components
  • Time Series Decomposition
  • ARIMA Modeling
  • Forecasting with ARIMA Models
  • Exponential Smoothing
  • Autoregressive Neural Networks
  • Long Short-Term Memory (LSTM) Networks
  • Evaluating Time Series Forecasts
10

Deployment of Machine Learning Models

5 Topics • Hands-on Lab

  • Model Deployment Overview
  • Model Deployment Strategies
  • Automating Model Deployment
  • Model Deployment in Production
  • Model Monitoring and Maintenance

Life at 4Achievers

Sneak peek into our Live Classroom Sessions, practical labs, and placement drives in Noida.

Manual Testing Agile Activity - Student participation at 4Achievers

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Manual Testing Agile Activity - Student participation at 4Achievers

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RPA Robotics Agile Activity - Student participation at 4Achievers

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Campus Life

Cloud Computing Agile Activity - Student participation at 4Achievers

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Software Testing Agile Activity - Student participation at 4Achievers

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Online Live

AWS & DevOps

Learn AWS services, DevOps tools and real-world cloud deployment workflows.

Weekends
Morning Batch (IST)
Duration: 8 Weeks
Instructor Aslam Khan

Aslam Khan

AWS & DevOps Engineer

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Data Science with Python

Master Python, data analysis, visualization and machine learning basics.

Weekdays
Evening Batch (IST)
Duration: 8 Weeks
Instructor Manab Das

Manab Das

Data Science Expert, Python

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Full Stack Development (Java + UI/UX)

Build end-to-end web apps using Java, frontend frameworks and UI/UX.

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Noon Batch (IST)
Duration: 8 Weeks
Instructor Ganesh Dutt

Ganesh Dutt

Java Full Stack Developer, UI/UX

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