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All Courses

  • DATA SCIENCE, MACHINE LEARNING AND AI

  • DEVOPS

  • CLOUD COMPUTING

  • SOFTWARE DEVELOPMENT AND TESTING

  • IT SERVICE AND PROJECT MANAGEMENT

  • MOBILE & WEB DEVELOPMENT

  • CYBER SECURITY, NETWORKING & BLOCK CHAIN

  • DATABASES & BIG DATA

  • BUSINESS INTELLIGENCE

  • WINDOWS & VIRTUALIZATION

Machine Learning with Python Course Overview

This course provides a comprehensive introduction to machine learning using Python. It covers essential concepts, tools, and techniques to equip learners with the skills needed to build and deploy machine learning models. Through hands-on projects and practical examples, participants will gain experience in data preprocessing, model training, evaluation, and optimization.

Machine Learning with PythonTraining Key Features

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  • Introduction to Machine Learning
  • Creating a machine learning model
  • Data preparation and exploration
  • Regression & Classification
  • Evaluation of the Classification models
  • Unsupervised learning – Clustering
  • Dimensionality reduction
  • Reinforcement learning
  • Introduction to Natural Language Processing
  • Introduction to Deep Learning.
Skills Covered
  • Data Preprocessing
  • Data Visualization
  • Supervised Learning Algorithms
  • Unsupervised Learning Algorithms
  • Model Evaluation and Validation
  • Feature Engineering
  • View More
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Machine Learning with Python Course Curriculum

Benefits

Ease of Use, Vast Ecosystem, Innovation, Flexibility, Scalability.

Pre-requisites

To get started with machine learning using Python, you don’t need extensive prior knowledge, but having a basic understanding of certain concepts will be helpful.

Course Content

  • Supervised Learning Algorithms
  • Unsupervised Learning Algorithms
  • Data Preprocessing and Feature Engineering
  • Model Evaluation and Validation
  • Decision Trees and Random Forests
  • Support Vector Machines (SVM)
  • Neural Networks and Deep Learning
  • Model Deployment and Integration
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Machine Learning with Python Exam & Certification

  

Machine Learning with Python Course Reviews

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I highly recommend this course to anyone

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The instructor’s practical knowledge and the hands-on labs ensured that I gained a solid understanding

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"I gained a solid understanding of Python for Machine Learning. The content was well-structured, and the instructor made even complex topics easy to grasp."

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"This course provided a great balance between theory and practice. The Python coding exercises were invaluable for understanding real-world applications of Machine Learning."

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"A well-designed course for both beginners and experienced professionals. The combination of Python programming and Machine Learning techniques was highly practical."