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Machine Learning

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18268 Enrollments

Build a strong foundation in Machine Learning with Multisoft AI. Learn data preprocessing, supervised and unsupervised learning, model development, evaluation techniques, and practical implementation using industry-standard tools and frameworks to create intelligent data-driven solutions for real-world business challenges.

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Machine Learning Training by Multisoft AI is designed to provide professionals with a comprehensive understanding of machine learning concepts, algorithms, and real-world applications. The course covers the complete machine learning lifecycle, from data collection and preprocessing to model development, evaluation, optimization, and deployment.

Participants will learn how machines identify patterns, make predictions, and improve performance through data-driven learning techniques. The training introduces key concepts such as supervised learning, unsupervised learning, classification, regression, clustering, feature engineering, model evaluation, and performance optimization. Learners will also explore popular machine learning tools, frameworks, and industry best practices used across sectors such as finance, healthcare, retail, manufacturing, and technology.

Through practical exercises, case studies, and hands-on projects, participants will gain experience building machine learning models and applying them to solve business problems. The course emphasizes the development of analytical thinking and practical implementation skills required to work with modern AI and data science solutions.

Upon completion, participants will be equipped to develop, evaluate, and deploy machine learning models, laying a strong foundation for advanced topics such as deep learning, generative AI, natural language processing, and predictive analytics.

  • AI vs Machine Learning vs Deep Learning
  • Types of Machine Learning
  • Machine Learning Lifecycle
  • Industry Applications

  • Data Collection
  • Data Cleaning
  • Handling Missing Values
  • Data Transformation
  • Feature Scaling

  • Data Visualization
  • Statistical Analysis
  • Correlation Analysis
  • Pattern Discovery

  • Classification Algorithms
  • Regression Algorithms
  • Decision Trees
  • Random Forest
  • Support Vector Machines

  • Clustering Concepts
  • K-Means Clustering
  • Hierarchical Clustering
  • Dimensionality Reduction

  • Feature Selection
  • Feature Extraction
  • Data Encoding
  • Feature Optimization

  • Accuracy Metrics
  • Precision and Recall
  • F1 Score
  • Confusion Matrix
  • Cross Validation

  • Hyperparameter Tuning
  • Overfitting and Underfitting
  • Regularization Techniques

  • Model Packaging
  • Deployment Strategies
  • Monitoring and Maintenance

  • Customer Churn Prediction
  • Sales Forecasting
  • Fraud Detection
  • Recommendation Systems
  • Understand the core concepts, principles, and lifecycle of Machine Learning.
  • Learn supervised, unsupervised, and reinforcement learning techniques.
  • Develop skills in data collection, preprocessing, and feature engineering.
  • Build and evaluate classification, regression, and clustering models.
  • Apply statistical methods and data analysis techniques for predictive modeling.
  • Understand model validation, performance metrics, and optimization strategies.
  • Gain hands-on experience with industry-standard Machine Learning tools and frameworks.
  • Implement Machine Learning solutions for real-world business problems.
  • Learn model deployment, monitoring, and maintenance best practices.
  • Establish a strong foundation for advanced AI, Deep Learning, and Data Science applications.

Machine Learning is a branch of Artificial Intelligence that enables systems to learn from data, identify patterns, and make predictions or decisions without being explicitly programmed.

This training is suitable for data analysts, software developers, AI enthusiasts, business professionals, researchers, and anyone interested in building intelligent data-driven solutions.

Basic programming knowledge is beneficial but not mandatory. The course starts with foundational concepts and gradually progresses to practical model development.

The course introduces commonly used Machine Learning tools, frameworks, and libraries used for data analysis, model building, evaluation, and deployment.

Participants will learn how to prepare data, build machine learning models, evaluate performance, optimize algorithms, and apply Machine Learning techniques to solve real-world business problems.

course 1

$ 350 $ 350

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Lowest Price & High Quality

This Course Includes:
  • Globally Recognized Certification
  • 32+ Hrs. of Expert-Led Training
  • Interactive Live Masterclasses
  • Practical, Hands-On Learning
  • Build Your Own AI-Powered App
  • multisoft ai tools Explore a Multiple AI Tools
  • multisoft ai tools Unlimited Practice Assessments
  • multisoft ai tools Lifetime LMS Access
  • multisoft ai tools Recorded Live Sessions
Training Module

Choose your own comfortable learning experience.

One to One Training

32 hrs to Kickstart Your Training
  • 30 hours of personalized Salesforce training
  • Direct one-to-one sessions with expert trainers
  • 100% practical-oriented classes tailored to your pace
  • Includes resources and study materials
  • Latest version curriculum covered in detail
  • Flexible timing to suit your schedule
  • 24×7 learner assistance
  • Certification guidance provided
  • Post-training community and expert support
  • Lifetime access to training materials
  • Personalized career interview tips

Live Online (Instructor-Led)

32 hrs of Remote Classes
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  • Includes Self-Paced learning access
  • Live demonstrations of industry-ready skills
  • Virtual instructor-led training (VILT) classes
  • Real-time projects & certification guidance

Corporate Training

Customized Group Learning for Teams
  • Tailored curriculum to meet your business needs
  • Flexible scheduling (on-site or virtual)
  • Industry expert trainers with domain experience
  • Real-world case studies & hands-on practice
  • Focus on improving team productivity & skill application
  • Custom reporting & performance tracking
  • Access to post-training resources
  • Long-term upskilling partnership options

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