Online Machine Learning Course

Dive deep into Machine Learning. Get the Perfect Blend of Analytical Skills & Business Knowledge.

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Jointly Delivered by

  • Vijay Gaikwad

What's included :
  Mobile Support
  Discussion Forum
  Course Certificate
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An Overview Of Our Online Machine Learning Course

One of the best online courses for machine learning has been devised by experts from the Vishwakarma Institute of Technology, Pune. Now you can also take advantage & learn machine learning online by attending this online class where you get a holistic education and understanding of machine learning. This online machine learning course is applicable for PAN India students and professionals and the certificate will be furnished by Edu Plus Now, Pune. This machine learning certification training covers a comprehensive syllabus where you will be imparted the know-hows of tools like Python that comes in handy on the job. This online machine learning course by Edu Plus Now is highly accredited & by far the best rated machine learning courses in Pune and one of the best in India right now.

Best Online Course For Machine Learning

This online course, designed by an expert from the Vishwakarma Institute of Technology Pune, provides a complete understanding of Machine Learning. The Certificate in Machine Learning course is designed to share the knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.It will show step-by-step developments of Machine Learning algorithms that are used to solve real-world problems.

What Is Machine Learning ?

Machine learning is an application of artificial intelligence (AI) that renders systems the ability to learn and improve from experience without being explicitly programmed. It focuses on the development of computer programs that can access data and use it to learn for themselves.

The Key Features Of This Online Machine Learning Course

  • Dr.Vijay Gaikwad as a knowledge partner.
  • Mentorship by industry specialists.
  • Course awarded by Edu Plus Now.

Job Roles According To The Industry You Might Be Interested In

Industry Trends

In the Finance industry, you can work as a strategic decision maker or in the risk analytics department.

Industry Trends

In the Banking industry, you can work as a fraud detector or create models to measure credit risks.

Industry Trends

In the healthcare industry, you can take up the role of a drug researcher where you can research and discover the drugs that will help in curing a particular disease. You can also become a virtual assistant.

Industry Trends

In the E-commerce industry, you can work as a researcher who aims at studying consumer behaviours and recommend products to the consumers based on the searching and buying history.

Industry Trends

In the Transport industry, you can work at the passengers safety department to enhance the safety of the passengers in transit. You can also monitor the transport systems.

Industry Trends

In the Manufacturing industry, you can predict the potential problems in the products that are being manufactured or at the automation department of the manufacturing units.

Who Will Benefit From The Machine Learning Certification Course?

  • Candidates who are willing to learn machine learning algorithms with Python.
  • Candidates harboring an interest in the practical applications of machine learning to the real-world problems
  • Anyone who wants to add value to their business through powerful Machine Learning tools.
  • Budding engineers who want to build a career in Machine Learning.
  • Teachers who are interested in Machine Learning certification.
  • An intermediate or advanced level EXCEL practitioner who is unable to work with extensive datasets.
  • Industry Professionals who are interested in online Machine Learning courses.
  • UG/ PG/ PhD students who are looking for Machine Learning training.
  • Anyone who wants to add machine learning to their area of expertise.
  • Students/professionals who wish to understand beyond the basics and gain a holistic understanding of the whole range of machine learning algorithms.

Tools Covered


What Will You Learn In Online Machine Learning Classes

  • About Machine Learning
  • Performance of Machine Learning Models
  • Types of Machine Learning
  • Algorithms and Applications of Machine Learning
  • Data Pre-processing
  • Introduction to Simple Linear Regression
  • Simple Linear Regression Equation
  • Simple Linear Regression how It works ?
  • Simple Linear Regression Algorithm
  • Simple Linear Regression Program
  • Reading the SLR dataset
  • Dividing the SLR dataset in DV & IV
  • Preparing the training set and testing set for SLR mode
  • Training the SLR Model
  • Graphical results of SLR model
  • Introduction to Multiple Linear Regression Model
  • Equation of Multiple Linear Regression
  • How Multiple Linear Regression Is Useful ?
  • Significance of Backward Elimination and 'P- Value'
  • Algorithm for Multiple Linear Regression
  • Importing the libraries for MLR model
  • Dividing the data set into training and testing set for MLR model
  • Training the MLR model
  • Building optimal MLR model
  • Polynomial Linear Regression (PLR)
  • Comparison: SLR Vs PLR
  • Reading the libraries and dataset for PLR
  • Fitting the model onto training data set
  • Linear Regression Results on PLR dataset
  • Applying the PLR onto the data set
  • PLR Results
  • Accuracy of PLR
  • Introduction to Classification Part-I
  • Introduction to Classification Part-II
  • Logistic Regression (LR)-I
  • Logistic Regression (LR)-II
  • Algorithm for Logistic Regression (LR)
  • Develop Code of Logistic Regression -I
  • Code of Logistic Regression -II
  • Code of Logistic Regression -III
  • Feature Scaling
  • Fitting LR Module To Training Data set
  • Making The Confusion Matrix
  • Visualizing training set results
  • Support Vector Machine Introduction
  • Maximum Margin Hyper-plane
  • Algorithm for Support Vector Machine (SVM)
  • Program for Support Vector Machine (SVM) Classifier
  • Splitting Data set for Support Vector Machine (SVM)
  • Fitting the Support Vector Machine (SVM) Model to Training Set
  • Prediction using Support Vector Machine (SVM)
  • Visualizing The Support Vector Machine Results
  • Examples of Kernels in SVM
  • Naive Base Classifier- I
  • Naive Base Classifier- II
  • Problem Statement for Naive Base Classifier (NCB)
  • Bayes Theorem
  • Bayes Theorem- Examples
  • Probability Calculation Using Bayes Theorem)
  • Summery with Examples for Naive Base Classifier (NCB)
  • Program for Naive Base Classifier (NCB)
  • NBC divide data set into training set and testing set
  • Fitting Naive Base Classifier (NCB)
  • NBC Machine confusion matrix
  • NBC visualizing the training set data
  • NBC visualizing the test set data
  • Introduction to Clustering
  • K Means Clustering
  • K Means Algorithm
  • Examples for K- Means
  • K- Means Clustering Steps
  • K-Means algorithm
  • K-Means coding import library
  • K-Means elbow method
  • Fitting K-Means
  • Visualizing Clusters
  • Introduction to Association Rule Learning (ARL
  • Usefulness of ARL
  • Applications of ARL
  • Challenges of ARL
  • Merits of ARL
  • Introduction to Dimentionality Reduction
  • Principal Component Analysis (PCA)
  • Important Conclusions
  • Implementation of PCA - Part 1
  • Implementation of PCA - Part 2
  • Types of Evaluation
  • Model Accuracy & Error Rate
  • Kappa Value
  • Model Sensitivity and Specificity
  • Model Precision and Recall and F-Measure
  • ROC Curves
  • Project Ideas

Learning Outcomes

  • Make accurate predictions
  • Use for personal purpose
  • Recognize the Machine Learning model to choose for each problem
  • Understand various powerful Machine Learning models
  • Analyze data effectively
  • Apply dimensionality reduction technique to data
  • Solutions to business problems


Type Weightage %
Content 100%
Online Machine Learning Course

What our learners have to say about us!

Our Alumni work at

Course Fees : 15,000 (+GST)

  • Dr.Vijay Gaikwad as a knowledge partner.
  • Mentorship by industry specialists.
  • Course awarded by Edu Plus Now.
  • Self pased learning.

"If a group of four or more participants enroll with us, a concession of 10% will be awarded to each one of them. For more details Contact us."    +91 8956167195

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Knowledge Platform

Take advantage of a complete in-built environment for programming and get hands-on experience to solve real-world problems practically.

About the Instructor

Vijay Gaikwad

15 Years Of Experience

Vishwakarma Institute of Technology, Pune

Associate Professor & Head- Electronics Engineering Department


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