Machine Learning Training in Marathahalli

Machine Learning Training in Marathahalli

The ideal way to learn machine learning technology is to start with a small data set and then move on to large data sets during Machine Learning Training.

As we provide real-time practical oriented Machine learning Course real data are derived through multiple sources and suitable algorithms are used to solve the big and small problems using machine learning techniques. In this Machine Learning Course in Marathahalli learners will have detailed knowledge about data, tools, problems, Linear regression, visualization, validate data, test data, design boundaries, classification, probability, linear classifiers, natural language processing, logistic regression, decision tree, unsupervised learning, text representations, naive Bayes, clustering models, python, deep learning, and multinomial models.

Best Machine Learning Training in Marathahalli

Trainers and the projects that we assign during Machine Learning Course are not only interesting but updated as per the latest market practices. Automation, machine learning, and artificial intelligence are part of our day to day lives and it easy to fetch examples for machine learning as the usage is vast. Consumer products, agriculture, health care, media, and software products are the best examples to understand the concept of machine learning when learning Machine learning Training in Marathahalli. We provide corporate-style training where the different industry knowledge are tailored as per the portfolio of the learner. Personalized training and continuous support have propelled our name as the Best Machine Learning Training in Marathahalli.

The advantages of using Machine learning are not only explained with theoretical classes but also given projects to explore the subject from a different perspective during Machine Learning with R Training in Marathahalli. Machine learning is accurate concerning the result it gives. One best example of the accuracy of machine learning is whether report with an accurate forecast. Rainfalls are predicted in advance for safety measures. Machine learning technology also identifies threats related to the business. Apart from profitability predictions it aid in saving the businesses from risks. To acquire the skills of precise decision making associated with multiple domains join for a Job Oriented Machine Learning  Certification Training Course with Real Projects.

Syllabus of Machine Learning Course in Marathahalli

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 with the basics of R programming like data types 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

Upcoming Batch Schedule for Machine Learning Training in Marathahalli

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

• 14-04-2025 Mon (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session Get Fees
• 17-04-2025 Thu (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session Get Fees
• 12-04-2025 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 Training in Marathahalli

The ideal profile for Advanced Machine learning training in Bangalore is selected after analysing the education, experience and skills of the candidate as we push them for the leaners who are focused towards the subject. The doubts and the reviews of the learners depend upon the trainer and the trainer should be capable of handling the big group of students joining Machine Learning Course. Machine learning trainer with 10 years of experience take classes to the students at Besant technologies and they know the vast advantages of the different concepts of machine learning.

Machine learning demands for the skills like Kera framework, TensorFlow framework, python knowledge, scikit learn library of machine learning knowledge, pandas knowledge, manipulating datasets, visualizing dataset, OpenCV, Linux knowledge and hardware knowledge to run ML model. Our trainers range from 40 to 50 numbers and they all have a different experience with expertise knowledge towards Machine learning. After completing the Machine Learning with Python Training in Marathahalli trainers are like a guide to give interview tips and also help to acquire certification from AWS Certified Machine Learning Certification which falls under the speciality category of AWS certification.

Machine Learning Exams & Certification

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.

Key Features of Machine Learning Training in Marathahalli

Training Courses Reviews

Frequently Asked Questions