Machine Learning Training in Kalyan Nagar Bangalore?

The demand for machine learning is at its peak and the IT sector just can’t do without it in the present scenario. Machine leaning is actually a science of getting the computers function without writing dedicated programs. The concept is about 2 decades old and has come a long way since then. If we look back at the past decade, machine learning has given a lot to us. For instance, self-driving cars, effective web search, practical speech recognition are some of the popular technologies presented to us through machine learning.

Although, there is a lot of buzz about the concept of Machine learning, the number of professionals who are working as Machine learning experts are quite less. Since, Machine learning and Artificial Intelligence are adopted by almost every field nowadays the demand for the experts have gone up tremendously. In the current picture the demand for the experts is more but the trained professionals are much less. Therefore, the students considering Machine Learning as their career choice can get placed with some of the biggest MNC’s of the world.

What is Machine Learning?

Machine Learning is a part of Artificial Intelligence which enables the computer systems to automatically improve itself and learn from the previous experiences. This concept has been making waves since its inception and it continues to advance in terms of its features and abilities.

Recently, Machine Learning has been visible in the smart devices like mobile, tablets, laptops etc. For instance, this technology is definitely making the smart gadgets even smarter than ever before. Since, it has the ability to improve a set of functions and procedures instantly, it makes things much simpler and convenient for the users. Most of the smart phones are already embraced with Machine learning technology in some way or the other which make it faster, effective and convenient to use. Some of the common features which we use in our smart phones in disguise of Machine learning are:

  • Voice Recognition
  • Language Translation
  • Virtual Reality
  • Exquisite Camera functions
  • High end device security

Getting a training in Machine learning may help you in attaining a novel and high paid career as most of the Machine learning experts are offered excellent salary packages.
However, you must look across the best certification institute for the same. Trishana Technologies is one of the most reputed institutes offering Machine Learning training in Kalyan Nagar Bangalore. The institute is embraced with a group of highly qualifies trainers who proactively work towards training the students so that they are ready to chase their dreams.

Key Features


Live Demo

Hands on Practicals/Project

Hands on


One year
Course Validity

100% Placement Assistance

Placement Assistance

Individual attention


24 X 7 Expert Support

24 X 7
Expert Support

Training from Industrial Experts

Training from
Industrial Experts

Certification for Course

for Course


Machine Learning using R Training Syllabus

Introduction to Data Analytics

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

Introduction to R programming

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

Data Manipulation in R

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

Data Import techniques in R

  • Reading and writing flat files – text,csv,Excel
  • Reading Techniques in R
  • How to connect mysql with R
  • Saving and loading R format

Loops and Date

  • For loop
  • While loop
  • If loop
  • Break and continue
  • How to convert to date format
  • How to slice dates information (Year, Quarters, Months, Days, Hours etc..,)
  • How to get difference between two days (Year, Quarters, Months, Days, Hours)

Exploratory Data Analysis

  • Box plot
  • Histogram
  • Doughnut graph
  • Pie graph
  • Line chart
  • Scatterplot
Statistics and Machine Learning – Regression and Classification

Statistics Topics

  • Probability
  • Hypothesis Testing – Null Hypothesis and Alternate Hypothesis
  • Standard deviation and Variance
  • Outliers – Detection and Replacement method
  • Correlation
  • T test- Unpaired and Paired
  • Chi square
  • Anova

Machine Learning Topics

  • Linear Regression
  • Multiple Regression
  • Logisitic Regression
  • Naïve Bayes Classifier
  • Variable selection on model
  • K means Clustering
  • Decision Tree
  • SVM
  • Time series forecasting

Project work

  • 3 Real-time projects
Machine Learning using Python Training Syllabus

PYTHON Programming

  • Installation & Python basics.
  • Python looping, conditional statements.
  • Data Structures.
  • Classes & Functions.

Introduction to Python Libraries

  • Numpy
  • Pandas
  • Matplotlib & Seaborn
  • Scikit learn


  • Descriptive Statistics
  • Measure of Frequency, Central tendency, dispersion/variation.
  • Inferential Statistics
  • Probability.

Data preparation

  • PCA
  • Dimensionality Reduction
  • Univariate & Multivariate Analysis

Machine Learning Algorithms

  • Forecasting & Smoothing
  • Regression
  • Logistic Regression
  • Naive Bayes
  • Clustering
  • Decision Trees & Ensemble modelling
  • Support Vector Machines
  • NLP
  • Deep Learning
  • Project on Real Time Implementation

Career Opportunities for Machine Learning Experts

  • Machine learning/ Deep learning expert
  • Machine learning Data Scientist
  • R&D expert Machine Learning
  • Artificial Intelligence engineer

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    Load Runner Certification

    About more than 1000 top companies has recognized Trishana Technologies certifications globally.
    Download the certificate once you,

    • Complete our Load Runner training program
    • After successfully Completing the Realtime Industry projects
    • Successful completion of given assignments

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