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Machine Learning using Python

Unlock Data Potential with Machine Learning Using Python Course

Course Instructor: Vaibhav

$129.00 $149.00 13% OFF

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Course Overview

  • Gain career success with our comprehensive Machine Learning course
  • Learn from 40+ hrs of Applied Learning and interactive labs
  • Complete 4 hands-on projects to solidify your understanding
  • Receive mentoring support throughout your learning journey
  • Master essential ML concepts for certification
  • Gain the skills needed to become a successful machine learning engineer

Machine Learning using Python Course Overview

This Machine Learning using Python course offers an in-depth overview of ML topics, including working with real-time data, developing supervised and unsupervised learning algorithms, regression, classification, and time series modeling. In this machine learning certification training, you will learn how to use Python to draw predictions from data.

Machine Learning using Python Key Features

  30+ hours of blended learning

  Industry-based projects for experiential learning

  Interactive learning with Google Colabs

  30+ assisted practices and lesson-wise knowledge checks

  Lifetime access to self-paced learning content

  Dedicated live sessions by faculty of industry experts

Skills Covered

  Supervised and Unsupervised Learning

  K-Means Clustering

  Linear and Logistic Regression

  Decision Tree Construction

  Boosting and Bagging Techniques

  Time Series Modeling

  Kernel SVM

  Naive Bayes Classification

  Deep Learning Fundamentals

Benefits

The Machine Learning market is expected to reach USD 419.94 Billion by 2030 at a Compound Annual Growth Rate(CAGR) of 34.8%, indicating the increased adoption of machine learning among companies.

Machine Learning using Python Course Curriculum

Eligibility

The Machine Learning certification using Python course is well-Pre-requisitessuited for intermediate-level participants, including analytics managers, business analysts, information architects, developers looking to become machine learning engineers or data scientists, and graduates seeking a career in data science and machine learning.

Feature Item

Learners need to possess an undergraduate degree or a high school diploma. An understanding of basic statistics and mathematics at the college level. Familiarity with Python programming is also beneficial. Before getting into the machine learning Python certification training, one should understand fundamental courses, including Python for data science, math refreshers, and statistics essential for data science.

Course Curriculum

1 Subject

Course Content

1 Learning Materials

Machine Learning using Python

Lesson 01 - Course Introduction

Video
00:02:39

Machine Learning using Python Exam & Certification

Who provides the Machine Learning Course certificate and how long is it valid for?

Upon successful completion of the ML course, Simplilearn will provide you with an industry-recognized Machine Learning Certificate after training completion which has lifelong validity.

How do I become a Machine Learning Engineer?

This Machine Learning course online will give you a complete overview of ML methodologies, enough to prepare you to excel in your next role as a Machine Learning Engineer. You will earn Simplilearn’s Machine Learning certification that will attest to your new skills and on-the-job expertise. Get familiar with regression, classification, time series modeling, and clustering.

What do I need to do to unlock my Simplilearn certificate?

Online Classroom:

  • Attend one complete batch of Machine Learning training
  • Submit at least one completed project.

Online Self-Learning:

  • Complete 85% of the course
  • Submit at least one completed project.

Do you provide any practice tests as part of this Machine Learning course?

Yes, we provide 1 practice test as part of our Machine Learning course to help you prepare for the actual certification exam. You can try this Machine Learning Multiple Choice Questions - Free Practice Test to understand the type of tests that are part of the course curriculum.

Why Join this Program

Develop skills for real career growth

  • Cutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills

Learn by working on real-world problems

  • Capstone projects involving real world data sets with virtual labs for hands-on learning

Course Instructor

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Vaibhav

19 Courses   •   2 Students