Become a Machine Learning Engineer

Learn advanced machine learning techniques and algorithms -- including how to package and deploy your models to a production environment.
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Machine Learning using Python

This course dives into the basics of machine learning using an approachable and well-known programming language, Python. This course your complete guide to both supervised & unsupervised learning using R that means, this course covers all the main aspects of practical machine learning concepts. In this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed!

Course Objective:

In this course, we will be reviewing two main components: First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms.

What you'll learn?
  • Getting started with Python programming
  • Read In Data Into The Python Environment From Different Sources
  • Carry Out Basic Data Pre-processing & Wrangling In Python environment
  • Implement Supervised Learning Techniques/Classification Such As Regression, naïve Bayes, SVM, KNN, Decision tree and Random Forests
  • Implement Unsupervised/Clustering Techniques Such As Hierarchical clustering and DBSCAN,CLARA and K means Clustering
  • Implement Dimensional Reduction Techniques (PCA) & Feature Selection
  • Text Mining, Web Extraction and Web Scraping, Emotion mining
  • Evaluate Model Performance & Learn The Best Practices For Evaluating Machine Learning Model Accuracy
Who can enroll?
  • Anyone who is interested in learning about new technologies
  • Students , developers and technical designers
Training Features

Instructor-led Sessions

  • 40 Hours of Instructor-Led theory Classes. 40 Hours of Instructor-assist practical classes
  • Live project based on any of the selected use cases, involving implementation of the various real time concepts

Assignments

Each class will be followed by practical assignments which will aggregate to skill meter certificate.

Expert Support

We have online support team to resolve all your technical queries for the lifetime.

Dual Certification

  • Towards the end of the course, you will be working on a project and evaluation test.
  • Students those who are successfully completed the course, they will get course completion certificate and Skill Meter certificate




Sample certificates

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