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Machine Learning using Python Overview

The Machine Learning certification using Python training from Edufy helps in a comprehensive and in-depth knowledge of various machine learning algorithms. Clustering, Naïve Bayes, Regression, Decision trees and Q-Learning are to name a few.

Machine Learning using Python Key Features

100% Money Back Guarantee
  • Live Training 12 Weekend classes (Duration of each class is 3hours)
  • Live Training 18 Weekday Classes (Duration of each class is 2hours)
  • Live Training Instructor led online training for 36hours
  • Live Training LMS accessibility for Life-time
  • Live Training Practical assignments with real-life case studies
  • Live Training All user community forum

Skills Covered

  • Hierarchical Clustering
  • K-Means Clustering
  • Python Libraries
  • Machine Learning
  • Regression

Benefits

  • A high market demand with wide opportunities in various industrial sectors like e-commerce, automotive and social media etc.
  • Lucrative Pay packages with a career recognition with distinguished data pre-processing and model evaluation
  • As per indeed.com, the average salary for a data scientist is $122k

  • Designation
  • Annual Salary
  • Hiring Companies

Training Options

Self-paced Learning

$ 499

    • Lifetime access to high-quality self-paced eLearning content curated by industry ML experts
    • 4 hands-on ML projects to perfect the skills learnt
    • Simulation test papers for self-assessment
    • Lab access to practice live during sessions
    • 24x7 learner assistance and support

Online Live Classes

$ 799

    • Everything in Self-Paced Learning, plus
    • 90 days of flexible access to online classes
    • Live, online Machine Learning training by top instructors and practitioners
  • Classes starting from:-
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Course Content

  • Machine Learning using Python

    • Chapter 1

      • Introduction to Data Science

    • Chapter 2

      • Data Extraction, Wrangling & Visualization

    • Chapter 3

      • Introduction to Machine Learning with Python

    • Chapter 4

      • Supervised Learning-I

    • Chapter 5

      • Dimensionality Reduction

    • Chapter 6

      • Supervised Learning-II

    • Chapter 7

      • Unsupervised Learning

    • Chapter 8

      • Association Rules Mining and Recommendation Systems 

    • Chapter 9

      • Reinforcement Learning

    • Chapter 10

      • Time Series Analysis

    • Chapter 11

      • Model Selection and Boosting

    • Chapter 12

      • In-class Project

Machine Learning using Python FAQs

  • Q1: Are there any practice exams provided in this course?

    Yes. There are end-chapter practice sessions.

  • Q2: How can I unlock my certificate?

    Need to attend one complete batch of Machine learning training and submit one completed project.

    Or

    85% of Course completion and one completed project certification for online self-learners.