Machine Learning Course in Dehradun

The Machine Learning Training at 4Achievers Training Institute in Dehradun is designed to provide students with a solid foundation in machine learning concepts and techniques. This course combines theoretical knowledge with practical applications, ensuring that students can effectively implement machine learning algorithms in real-world scenarios.

Key Features:

  • Comprehensive Curriculum: Covers essential topics such as supervised and unsupervised learning, data preprocessing, and model evaluation.
  • Hands-On Projects: Engage in real-world projects to apply your learning and build a strong portfolio.
  • Experienced Instructors: Learn from industry professionals with extensive expertise in machine learning.
  • Flexible Timings: Classes available on weekdays and weekends to fit your schedule.
  • Placement Assistance: Support for job placements, including resume writing and interview preparation.

This Machine Learning Training in Dehradun is an excellent opportunity for anyone looking to enhance their skills and advance their career in the field of data science and machine learning. For more information, you can contact 4Achievers at:

Phone: +91-8010805667
Email:Info@4achievers.com

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Success Stories

Our Latest Placements

We don't just teach; we transform careers. Here are some of our recent graduates who cracked high-paying cloud and IT jobs at top product companies.

Lovely hired as Sr software test engineer at Coforge

Lovely

Sr software test engineer
Coforge
13.0 LPA

Annual Package

Experience Professional
Batch 2022
TASNEEM BANO hired as Associate Software Engineer at InnovationM Technology Solution ,Noida

TASNEEM BANO

Associate Software Engineer
InnovationM Technology Solution ,Noida
12.0 LPA

Annual Package

Experience Fresher
Batch 2022
Priyanka Sharma hired as QA Tester at Testrinx Software Soluton Pvt Ltd

Priyanka Sharma

QA Tester
Testrinx Software Soluton Pvt Ltd
20.0 LPA

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Experience Professional
Batch 2018
Gopal Anand hired as Test Engineer at VM Mining tech pvt ltd

Gopal Anand

Test Engineer
VM Mining tech pvt ltd
9.0 LPA

Annual Package

Experience Professional
Batch 2015
Mayur Bhagirath Kshirsagar hired as Data Analyst at I3 infosoft

Mayur Bhagirath Kshirsagar

Data Analyst
I3 infosoft
12.0 LPA

Annual Package

Experience Fresher
Batch 2022
Vivek hired as QA Engineer at coding nebula

Vivek

QA Engineer
coding nebula
13.0 LPA

Annual Package

Experience Professional
Batch 2018

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"I was working in a BPO for 3 years, feeling stuck. I had zero coding knowledge and thought IT was impossible for me. That's when I found 4Achievers."

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.

The Struggle & Breakthrough

The toughest part was Data Structures. I almost quit. But my mentor, Rahul Sir, sat with me on a Sunday for 3 hours just to clear my doubts on Linked Lists.

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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Cloud Developer

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 1 year ago

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 1 year ago

QA Testing Engineer,software test engineer

Laxmi Infotech • Chennai | Delhi/ncr | Mumbia

Full Time
3.5 LPA 0-3 Yrs Exp Remote

Good Knowledge in both Manual Testing and Automation Testing,Strong experience in writing test scenarios and test cases Strong knowledge on Selenium, Appium, Microsoft SQL and Jmeter Adept in functional testing and reporting defects

Posted 1 year 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

AWS Program Highlights

Everything you need to know about our Cloud Computing course structure.

Cloud Program Overview

A holistic approach to AWS Cloud Computing, covering instances, storage, and serverless architecture.

What you will learn:

  • Compute: EC2 Instances, Auto Scaling, Elastic Beanstalk
  • Storage: S3 Buckets, EBS Volumes, Glacier
  • Database: RDS (SQL), DynamoDB (NoSQL), ElastiCache

Certification Value

Prepares you for the AWS Certified Solutions Architect Exam.

AWS Certified NASSCOM

AWS Tools & Eligibility

Master 15+ AWS Industry-standard tools. Open for freshers and IT professionals.

Cloud Tech Stack Covered:

Category AWS Services
Security & Identity IAM, AWS Cognito, Key Management Service (KMS)
DevOps & Automation AWS CodePipeline, CloudFormation, Git
Monitoring CloudWatch, AWS CloudTrail, SNS Alerts
Eligibility: Graduates (B.Tech, BCA, B.Sc) or Final Year Students. No coding background required.

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100% Placement assistance, AWS resume building, and mock interviews.

AWS Roles you can target:

Cloud Architect AWS DevOps Engineer Cloud Support Associate SysOps Administrator
18 LPA
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Machine Learning Training in Dehradun Curriculum

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

Machine Learning Training in Dehradun 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

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

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Data Science with Python

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

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Duration: 8 Weeks
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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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Duration: 8 Weeks
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