Certified Machine Learning (Python) Professional

Certified Machine Learning (Python) Professional tutorials

The IT industry has paced up a lot since the last decade and is expected to grow a lot in future. IT-related career options continue to be at the top of the list in terms of career transitions or skill transitions. Machine learning has always been an important field in computer science, but recent advancements in computation power and algorithm efficiency have made this field more prominent than ever. Vskills certification on Machine Learning assesses the candidate as per the company’s need for Machine learning.

This is all because, in this technological epoch, a certified professional is valued more than a normal employee who just holds the degree. All the companies, be it an IT company or non-IT company, demand highly skilled and certified professionals at work to increase the efficiency and perfection of the work. Getting certifications to make you a preferable candidate for the job as well as increases your importance. They help in showing your commitment towards your aim and dedication towards your work and organization. 

Roles and Responsibilities

A Certified Machine Learning (Python) Professional will be responsible for Supervised Learning, Supervised Learning Models, Unsupervised Learning, Neural Networks and Applying Machine Learning etc. Also, a professional learn and explore the fundamental techniques in machine learning and discover how to solve many different types of problems using machine learning.

Why to take Machine Learning Certification?

This Course is intended for professionals, freshers and graduates wanting to excel in their chosen areas. It is also well suited for those who are already working and would like to take certification for further career progression. Earning Vskills Machine Learning Certification can help candidate differentiate in today’s competitive job market, broaden their employment opportunities by displaying their advanced skills, and result in higher earning potential.

Intended Audience

Job seekers looking to find employment in IT or software development departments of various companies, students who want to learn Machine Learning. Machine learning is one of the faster-growing areas and is in great demand. Companies like KPMG, Accenture, TCS & Cognizant specializing in web application development or website development are constantly looking for certified professionals in Machine Learning.

Benefits of Certification

How It Works

  1. Select Certification & Register
  2. Receive a.) Online e Learning Access (LMS)    b.) Hard copy – study material
  3. Take exam online anywhere, anytime
  4. Get certified & Increase Employability

Test Details

  • Duration: 60 minutes
  • No. of questions: 50
  • Maximum marks: 50, Passing marks: 25 (50%).
  • There is NO negative marking in this module.
  • Online exam.

Content Outline

The exam revolves around the following objectives –

Machine Learning Foundations

  • What is Machine Learning
  • Types of Machine Learning
  • How does a Machine Learning Algorithm Works
  • Parametric and Non-Parametric Algorithms
  • Regression and Classification
  • Clustering
  • Preparing Your Data
  • Outliers
  • Problem of Underfitting and Overfitting
  • The Bias-Variance trade-off
  • Intro to jupyter notebooks
  • Data Science packages

Regression Analysis

  • What is Regression Analysis
  • Linear Regression
  • Cost Function
  • Gradient Descent
  • Polynomial Regression
  • Logistic Regression
  • Cost Function for Logistic Regression
  • Regularization
  • Evaluating a Machine Learning Model

Bayesian Statistics

  • Introduction to Conditional Probability
  • Bayes Rule
  • Bayesian Learning
  • Naïve Bayes Algorithm
  • Test your understanding of Bayes Theorem
  • Solution – Test Your Understanding of Bayes Theorem
  • Bayes Net
  • Markov Chains

Tree Based Learning

  • Decision Trees
  • Gini Index
  • ID3 Algorithm – Entropy
  • ID3 Algorithm – Information Gain
  • Practice Example – Information Gain

Ensemble Learning

  • What is Ensemble Learning
  • Bagging
  • Random Forest Algorithm
  • Boosting

Support Vector Machines

  • Introduction to Support Vector Machines
  • Support Vectors
  • Kernel
  • Hyperparameters in SVMs

Instance Based Learning & Feature Engineering

  • What is Instance Based Learning
  • K-Nearest Neighbours Algorithm
  • Dimensionality Reduction
  • Principle Component Analysis
  • Feature Scaling
  • K-Means Algorithm

Deep Learning

  • Introduction to Deep Learning
  • Perceptron
  • Perceptron Exercise
  • Solution – Perceptron Exercise
  • Deep Neural Networks
  • Deep Neural Networks – 2
  • Activation Functions – 1
  • Activation Functions – 2
  • Backpropagation Algorithm
  • Convolutional Neural Nets

Preparatory resources for Certified Machine Learning (Python) Professional

There are unlimited resources for preparation that you can use. Cracking this exam can be difficult for the first time. But with the right set of resources and hard work you can ace the exam in one go. So, you should be very careful while choosing the resources. Make sure to pick the apt resources out of the unlimited resources available, as they will determine how well will you pass the exam. let us look at some resources that can be beneficial –

Certified Machine Learning (Python) Professional study guide

Step 1 – Review the exam objectives 

Exam objectives let you define the framework for preparation and the path that has to be followed in order to pass with flying colors. Knowing about the objectives of the exam is very important as the whole exam is going to revolve around the objectives. The first and foremost thing before you start preparing is to get well versed with the objectives of the exam. This exam revolves around following objectives –

  • Machine Learning Foundations
  • Regression Analysis
  • Bayesian Statistics
  • Tree Based Learning
  • Ensemble Learning
  • Support Vector Machines
  • Instance Based Learning & Feature Engineering
  • Deep Learning

Refer – Certified Machine Learning (Python) Professional Brochure

Step 2 – Reference Books

bookcover
book cover

You can choose the books that is comfortable to your reading habits and which you understand well. Books are the best valued resources and first resource that comes to our mind when we thin of preparing for any exam. You can find multiple books online or can refer to libraries and bookstores. There are even fantastic books online that can be very useful in preparation. Some books that you can refer are–

  • Python Programming Fundamentals – A Beginner’S Handbook
  • Let Us Python

Step 3 – E-Learning and Study Materials

These online classes and instructor led courses are one of the most interactive ways of preparing the exam. Learning for the exam can be fun if you have right set of resources matching your way of studying. Vskills offers you its E-Learning Study Material to supplement your learning experience and exam preparation. They are prepared by the experts of the subject matter and are reliable enough. Many reliable sites provide with the very nice instructors and excellent content for the preparation. As we all are habitual of classroom teaching, these classes can serve as close substitute with an advantage of attending the class anywhere.

Refer – Certified Machine Learning (Python) Professional sample chapter

Step 4 – Evaluate yourself with practice tests

Your practice is an important determiner of how well you pass the exam. Take as many practice tests and test series as you can. They will help you in determining the level of your preparation, identify your loopholes and identify the weak portions you need to work more upon. There are so many reliable educational sites that provides with amazing content and help you in achieving excellence. Try a free practice test now!

Certified Machine Learning (Python) Professional free test
Boost your chances to become a Certified Machine Learning (Python) Professional. Start preparing and get a step closer to your Dream Job Now!
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