Machine Learning Certification Course

Online Machine Learning Course Overview

This Comprehensive Machine Learning Online Course will make you an expert in Python libraries Such as Numpy, Pandas, SciPy,  Scikit-learn and Matplotlib for developing Machine Learning algorithms with efficient manners.  Learn Linear Regression, Logistic Regression, Decision Trees, Random forest,  Anova & Sentimental Analysis  from the Scratch with real-time data with our Online Machine Learning Training.

We also Provide Tableau and SQL Classes for understanding Data Visualization  Techniques from the Basic to advanced level with live Project Assignments from this Machine Learning Training Courses.

Training Options for Machine Learning Course

We are offering this Machine Learning Training with Live Instructor led online Sessions and another Option is Self-Paced Recorded Videos on Machine Learning Concepts.

You can also Choose a Particular Machine Learning Trainer for your 1-1 Session which Provides flex timing to attend the Classes with Answered interview Questions, Resume Preparation and Certification guidance.

Advantages

According to the latest Survey the Machine Learning Market is expected to reach around USD$10 Billion. Medicine, Research and Automobile Companies are adopting Machine learning for solving their Real life Business Problems.  Machine Learning Engineers are getting High Salary around $200000 in Top MNC like Amazon, Flipkart, Google, JP Morgan, Facebook and Microsoft.

Why Machine Learning Course

Machine Learning is a part of AI which will take decisions from the Previous experience in real-time data to improve the Business revenue.  Amazon.com, Google.com, Facebook.com and many top websites are using Python Machine learning to predict their user’s interest and activities. Even in the Medical industry they are using ML Concepts for fighting Coronavirus and also Tesla using supervised learning Techniques to build self-driving cars.  Learn the latest technology Machine learning to Build Algorithms for your Business needs using R and Python Languages.

Eligibility

Besant technologies’ Machine Learning Course is Suitable for Business Intelligence Associate, Software developer, Big Data Analyst, Project Managers, and all who wish to become data Scientist and Machine Learning Engineer.  Our ML Beginner Course is Suitable for Fresher’s with basic math, Statistics and excel knowledge at College level.

We will cover the entire Machine Learning Prerequisites topics Such as Python Programming, Statistics, Math and R Programming with updated Syllabus and Course Materials for better understanding.

Welcome to Machine Learning Online Course! Machine Learning Certification Online Courses provides you the knowledge to enable a computer to learn through experience without requiring explicit programming to perform certain task. You will learn the best practices in machine learning, their applications in various areas and gain the skills of machine learning engineer.

Syllabus of Machine Learning Online Course

Module 1- Introduction to Data Analytics (Duration : 04:00:00 hrs)

Objectives:

• This module introduces you to some of the important keywords in R like Business Intelligence, Business Analytics, Data, and Information.
• You can also learn how R can play an important role in solving complex analytical problems.
• This module tells you what is R and how it is used by giants like Google, Facebook, etc.
• Also, you will learn the use of ‘R’ in the industry, this module also helps you compare R with other software in analytics, install R and its packages.

Topics

• Business Analytics, Data, Information
• Understanding Business Analytics and R
• Compare R with other software in analytics
• Install R
• Perform basic operations in R using the command line
• Learn the use of IDE R Studio
• Use the ‘R help’ feature in R

Module 2- Introduction to R programming (Duration : 03:00:00 hrs)

Objectives:

• This module starts from the basics of R programming like datatypes and functions.
• In this module, we present a scenario and let you think about the options to resolve it, such as which datatype should one to store the variable or which R function that can help you in this scenario.
• You will also learn how to apply the ‘join’ function in SQL.

Topics

• Variables in R
• Scalars
• Vectors
• Matrices
• List
• Data frames
• Using c, Cbind, Rbind, attach and detach functions in R
• Factors

Module 3- Data Manipulation in R (Duration : 04:00:00 hrs)

Objectives:

• In this module, we start with a sample of a dirty data set and perform Data Cleaning on it, resulting in a data set, which is ready for any analysis.
• Thus using and exploring the popular functions required to clean data in R.

Topics

• Data sorting
• Find and remove duplicates record
• Cleaning data
• Recoding data
• Merging data
• Slicing of Data
• Merging Data
• Apply functions

Module 4- Data Import techniques in R (Duration : 04:00:00 hrs)

Objectives:

• This module tells you about the versatility and robustness of R which can take-up data in a variety of formats, be it from a CSV file to the data scraped from a website.
• This module teaches you various data importing techniques in R.

Topics

• Reading Data
• Writing Data
• Basic SQL queries in R
• Web Scraping

Module 5- Exploratory data Analysis (Duration : 05:00:00 hrs)

Objectives:

• In this module, you will learn that exploratory data analysis is an important step in the analysis.
• EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis. You will also learn about the various tasks involved in a typical EDA process.

Topics

• Box plot
• Histogram
• Pareto charts
• Pie graph
• Line chart
• Scatterplot
• Developing Graphs

Module 6- Basics of Statistics & Linear & Logistic Regression (Duration : 05:00:00 hrs)

Objectives:

• This module touches the base of Descriptive and Inferential Statistics and Probabilities & ‘Regression Techniques’.
• Linear and logistic regression is explained from the basics with the examples and it is implemented in R using two case studies dedicated to each type of Regression discussed.

Topics

• Basics of Statistics
• Inferential statistics
• Probability
• Hypothesis
• Standard deviation
• Outliers
• Correlation
• Linear & Logistic Regression

Module 7- Data Mining: Clustering techniques, Regression & Classification (Duration : 04:00:00 hrs)

Objectives:

• Linear and logistic regression is explained from the basics with the examples and it is implemented in R using two case studies dedicated to each type of Regression discussed.
• The two Machine Learning types are Supervised Learning and Unsupervised Learning and the difference between the two types.
• We will also discuss the process involved in ‘K-means Clustering’, the various statistical measures you need to know to implement it in this module.

Topics

• Introduction to Data Mining
• Understanding Machine Learning
• Supervised and Unsupervised Machine Learning Algorithms
• K- means clustering

Module 8- Anova & Sentiment Analysis (Duration : 02:00:00 hrs)

Objectives:

• This module tells you about the Analysis of Variance (Anova) Technique.
• The algorithm and various aspects of Anova have been discussed in this module
• Additionally, this module also deals with Sentiment Analysis and how we can fetch, extract and my live data from Twitter to find out the sentiment of the tweets.

Topics

• Anova
• Sentiment Analysis

Module 9- Data Mining: Decision Trees and Random Forest (Duration : 03:00:00 hrs)

Objectives:

• This module covers the concepts of Decision Trees and Random Forest.
• The algorithm of Random Forests is discussed in a step-wise approach and explained with real-life examples.

Topics

• Decision Tree
• Concepts of Random Forest
• Working of Random Forest
• Features of Random Forest

Module 10- Project work (Duration : 10:00:00 hrs)

• 2 Real-time projects

Click Here to Check Latest Updated – Machine Learning Interview Questions and Answers

Upcoming Batch Schedule for Machine Learning Online Training

Besant Technologies provides flexible timings to all our students. Here are the Machine Learning Online Training Shedule. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

• 25-11-2024 Mon (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session Get Fees
• 21-11-2024 Thu (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session Get Fees
• 23-11-2024 Sat (Sat - Sun)Weekend Batch 11:00 AM (IST) (Class 3Hrs) / Per Session Get Fees

Can’t find a batch you were looking for?

Request a Batch

Trainer Profile of Machine Learning Online Training

Our Machine Learning Online Training is provided by top-level professionals. Our team includes subject matter experts who have many years of industry experience with understanding of know-hows of technical gears. We introduce the best trainers from countries like India, USA, UK, Canada, UAE, Australia and New Zealand. Machine Learning Online Course is provided by the instructors who are dealing with real scenarios in Machine Learning on a daily basis in their respective industry and are experts in Machine Learning.

Machine Learning Certification Course

Besant Technologies Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.

Our certification at Besant Technologies is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects.

You will gain Machine Learning Concepts and become a Subject Matter expert in Clustering, Big data analysis, time series modeling, Classifications by enrolling our Machine Learning Certification Course. This Course will help you to earn a Machine Learning Engineer Certification upon your Course Completion and 2+ Project Submission on ML algorithms. Enroll now in this Machine learning Certification Training online to Become Machine learning scientist.

At the end of the Machine Learning Certification Online Courses you are required to pass the exam for which you will gain support from Besant Technologies team

Key Features of Machine Learning Online Training

Project of Machine Learning Online Training

Based on different applications of Machine Learning you will work on different live projects. Our Machine Learning Online Training focuses on Live Online Training with 24/7 live support unlike any other Machine Learning Online Course. You will work on the latest technologies of Machine Learning with 100 percent job assistance.

Training Courses Reviews

Frequently Asked Questions