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.

In this course, you will learn Supervised Learning, Supervised Learning Models, Unsupervised Learning, Neural Networks and Applying Machine Learning etc. You will also learn and explore the fundamental techniques in machine learning and discover how to solve many different types of problems using machine learning.


Request a Demo (info@vskills.in)

* You will receive an online access to e-learning (videos), hard copy material is not applicable to this course.


Why should one 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.


Who will benefit from taking Machine Learning Certification?

Job seekers looking to find employment in IT or software development departments of various companies, students who want to learn Machine Learning.


Companies that hire Vskills Certified Machine Learning Professional

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.


Machine Learning Table of Contents

https://www.vskills.in/certification/machine-learning-table-of-content

Machine Learning Sample Questions

https://www.vskills.in/certification/machine-learning-sample-questions
 

Apply for Machine Learning Certification

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Table of Content


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

Project – 1
House Price Predictions

Project – 2
SMS Spam Classifier

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

Project – 3

Breast Cancer Prediction


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

Project – 4
Image Classification using Deep Learning

“Exam scheduling to be done through user account” / “Exam once scheduled cannot be cancelled”
Date of Examination
05-Jan-2019
06-Jan-2019
19-Jan-2019
20-Jan-2019
02-Feb-2019
03-Feb-2019
16-Feb-2019
17-Feb-2019
02-Mar-2019
03-Mar-2019
16-Mar-2019
17-Mar-2019
06-Apr-2019
07-Apr-2019
20-Apr-2019
21-Apr-2019
Examination Time
01:00 PM - 02:00 PM
02:30 PM - 03:30 PM
04:00 PM - 05:00 PM
05:30 PM - 06:30 PM
10:00 AM - 11:00 AM
11:30 AM - 12:30 PM

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Tags: Machine learning, machine learning course, machine learning professional