Machine Learning Course

by I-Tech System Claim Listing

This practical Machine Learning (ML) course feature into the world of machine learning, covering key algorithms, model training, and applications. I-Tech System is one of the best training institute in IT to offer the Machine Learning course.

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img Duration

2 Months

Course Details

This practical Machine Learning (ML) course feature into the world of machine learning, covering key algorithms, model training, and applications. I-Tech System is one of the best training institutes in IT to offer the Machine Learning course.

Whether you’re new to ML or seeking to enhance your skills, this course equips you with the knowledge and experience to excel in the knowledge of machine learning.

 

Machine Learning Course Details:

  • Introduction to Machine Learning
  • Understanding Machine Learning
  • The Role of ML in Data Analysis
  • Key Concepts and Terminology
  • Overview of ML Tools and Frameworks
  • Fundamentals of Machine Learning
  • Types of Machine Learning: Supervised, Unsupervised, Reinforcement
  • Model Training and Evaluation
  • Feature Engineering and Data Preprocessing
  • Practical Machine Learning Examples
  • Data Preprocessing for ML
  • Data Collection and Cleaning
  • Feature Selection and Extraction
  • Data Scaling and Transformation
  • Handling Missing Data
  • Data Privacy and Ethics in ML
  • Supervised Learning Algorithms
  • Linear Regression and Logistic Regression
  • Decision Trees and Random Forest
  • Support Vector Machines (SVM)
  • k-Nearest Neighbors (k-NN)
  • Model Selection and Hyperparameter Tuning
  • Unsupervised Learning and Clustering
  • K-Means Clustering
  • Hierarchical Clustering
  • Principal Component Analysis (PCA)
  • Anomaly Detection
  • Real-world Applications
  • Natural Language Processing (NLP)
  • Text Preprocessing and Tokenization
  • Sentiment Analysis
  • Named Entity Recognition
  • Language Modeling
  • Real-world NLP Applications
  • Deep Learning and Neural Networks
  • Introduction to Neural Networks
  • Feedforward Neural Networks (FNN)
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)
  • Training Deep Learning Models
  • Real-world Machine Learning Projects
  • Implementing ML Solutions
  • Collaborative ML Development
  • Project Management and Deployment
  • Presenting ML Findings

 

Course Benefits:

  • Hands-on projects and practical exercises
  • Access to real datasets and case studies
  • Quizzes and assessments for progress tracking
  • Support from a community forum
  • Course completion certificate
  • Nashik Branch

    09, Sumangal Luxuria, 3rd Floor, Beside Westside Mall, Yeolekar Mala, College Road, Nashik

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