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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BINOD KUMAR YADAV hired as QA Engineer at Cyfuture India Pvt. Ltd

BINOD KUMAR YADAV

QA Engineer
Cyfuture India Pvt. Ltd
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Annual Package

Experience Fresher
Batch 2022
Shilpa Awasthi hired as QA Engineer at Bold Technology

Shilpa Awasthi

QA Engineer
Bold Technology
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Experience Professional
Batch 2019
Rajesh Kumar hired as QA Engineer at Infinite Computer Solution(India) Limited

Rajesh Kumar

QA Engineer
Infinite Computer Solution(India) Limited
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Experience Fresher
Batch 2022
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Neeraj Papnai

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Trackobit
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Sheikh Attaur Rahman

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Experience Fresher
Batch 2022
AJAY KUMAR CHAUDHARY hired as Data Analyst at Metlife

AJAY KUMAR CHAUDHARY

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Metlife
20.0 LPA

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Experience Fresher
Batch 2022
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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.

The Struggle & Breakthrough

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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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Newgen • Delhi

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QA Testing Engineer,software test engineer

Laxmi Infotech • Chennai | Delhi/ncr | Mumbia

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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

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Cloud Engineer - PAAS

Hanu Software Solutions Pvt Ltd • Noida

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Developing and deploying new applications on the windows azure PAAS platform using C#, .net core . Participation in the creation and management of databases like SQL server and MySQL Understanding of data storage technology (RDBMS, NO SQL). Manage applica

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MY HR Solutions • New Delhi

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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.

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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

Life at 4Achievers

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

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