Certified Machine Learning Developer™

This certification is designed to help you understand machine learning and its underlying concepts from a technical viewpoint. This certification aims to provide you with the skills needed to excel in the machine learning area of computational sciences, along with practical experience in machine learning fundamentals, different probability concepts, knowledge representation, and applications. 

Certified Machine Learning Developer Certification is well-suited for Engineering & Management Students, Programmers & Developers, University Professors, Software Engineers, Architects, & any other professional who wants to develop a deeper understanding of machine learning and its applications. This certification will enable you to apply your skills to any dataset project and even build your machine learning predicting analysis model with the new skills.

  • Learn how machine learning works

  • Understand different types of machine learning

  • Explore business benefits of machine learning

  • Know the difference between machine learning and artificial intelligence and deep learning

MODULES INCLUDED

Fundamentals of Machine Learning

  • What is Machine Learning?

  • Process of Machine Learning

  • Life Cycle of Machine Learning

  • Application working in Machine Learning

  • Types Of Machine Learning

  • Setting up the development environment lab


Data Preprocessing

  • Importing Libraries

  • Importing Dataset

  • Taking care of Missing Data

  • Encoding Data: Categorical Data

  • Splitting the dataset into the Training set and Test set

  • Feature Scaling

Supervised Learning Algorithm

  • What is Supervised Learning?

  • Types of Supervised Learning

Regression

  • Simple Linear Regression

  • Multiple Regression

  • Polynomial Regression

Decision Tree

  • Implementation of Decision Tree

Random Forest Regression

  • Implementation of Random Forest Regression

Classification

  • Implementation of Logistic Regression

  • Implementation of Naive Bayes

  • Performance of Support Vector Machine (SVM)

Clustering

  • K-means Clustering

  • K-means Selecting the Number of Clusters

  • Implementation of k-means clustering

  • Implementation of Hierarchical Clustering

  • Implementation of Apriori

Time Series Modeling

  • Implementation of Time Series Modeling

Reinforcement Learning

  • Performance of Upper Confidence Bound (UCB)

  • Implementation of Thompson Sampling

Deep Learning and Artificial Neural Network

  • Performance of Artificial Neural Networks (ANN)

  • Implementation of Convolutional Neural Network (CNN)

  • Implementation of XGBoost

Dimensionality Reduction

  • Implementation of Principal Component Analysis

  • Implementation of Linear Discriminant Analysis

  • Implementation of Kernel PCA

Communication and Perceiving

  • Implementation of Natural Language Processing in Python

Bonus #Project 1

  • Hands-on

Bonus #Project 2

  • Hands-on

Certified Machine Learning Developer™

  • A multiple-choice exam of 100 marks will follow online training.

  • You need to acquire 60+ marks to clear the exam.

  • If you fail, you can retake the exam after one day.

  • You can take the exam no more than three times.

  • If you fail to acquire 60+ marks even after three attempts, you need to contact us to get assistance for clearing the exam.

RECOMMENDED LEARNING METHODOLOGY

  • Recommend allocating 1 hour daily to complete the course in 8 days.

  • Though you can attempt the online exam anytime as per your convenience, we highly recommend attempting the exam within eight days of course completion, as the subject will be fresh in your mind, and you get sufficient time to prepare/revise as well.


CERTIFICATION BENEFITS

  • Grasp an in-depth understanding of Machine Learning.

  • Understand machine learning with acquired knowledge.

  • Have an overview of ML benefits.

WHAT DO YOU GET?

  • Global Tech Council Certification

  • Lifetime access to the course content

  • 24*7 Support for all your queries


CAREER FACTS


TOP JOB FUNCTIONS

  • Marketing

  • E-Commerce

  • Manufacturing

  • Health sector

  • Behavioral science

  • Finance & Investing


What does a Machine Learning Developer do?


A Certified Machine Learning Developer is a skilled professional who understands what machine learning is and how machine learning works. The developer can use this knowledge to build a model from scratch. Students can use this knowledge to research new algorithms. Being a Machine Learning Developer facilitates you to create a model from sample data to automate the decision-making process based on data inputs.

The Growth Curve ahead

After you complete the certification, you can have various opportunities for your professional growth. You can be:

  • Machine Learning Developer

  • Machine Learning Researcher


What are the domains where Machine Learning Developers work?

  • Marketing

  • E-Commerce

  • Manufacturing

  • Health sector

  • Behavioral science

  • Finance & Investing

Final Outcome

After completing this certification, you will be able to master the core concepts of machine learning and a greater understanding of AI and applications. 

Bundle includes

Here are all the courses that are included in your bundle.