Machine Learning Course in Bangalore

Machine Learning Course in Bangalore Overview

This machine learning course in Bangalore helps you gain expertise in various aspects of ML, including machine learning with Python programming, supervised and unsupervised learning, support vector machines, and more.

What will you learn in this machine learning course in Bangalore?

Intellipaat, the provider of one of the finest machine learning courses in Bangalore, will help you learn:

Machine Learning algorithms
Deploying machine learning models on Clouds (MLOps)
Analysis segmentation using clustering and the technique of prediction
Microsoft Excel for data analysis and data transformation
Techniques of evaluation, experimentation, and project deployment
Python with Data Science
Natural language processing and its applications
Data Science projects, analytics, and recommender systems
Data analysis, project life cycle, and Data Science in the real world
Git, Storytelling

Who should take up this machine learning training in Bangalore?

This machine learning (ML) course in Bangalore can be joined by:

Fresh graduates and Software professionals who are looking for a career switch
Working Professionals in analytics, data science, e-commerce, and search engine domains

What are the prerequisites for taking up this one of the best machine learning training in Bangalore?

There are no specific prerequisites for taking this course. However, basic knowledge of programming languages can be helpful when joining our machine learning course in Bangalore.

What are the job opportunities of machine learning in Bangalore?

Here are some of the ML job opportunities in Bangalore:

Job title	Skills	Experience	Salary	Company
Machine Learning Engineer	Python, SQL, machine learning algorithms, deep learning frameworks	3+ years	INR 15–20 lakhs per annum	Amazon, Microsoft, Google, Flipkart
Data Scientist	Python, SQL, machine learning algorithms, statistics	2+ years	INR 12–15 lakhs per annum	Accenture, Capgemini, Infosys, Wipro
Machine Learning Research Scientist	Machine learning algorithms, deep learning frameworks, natural language processing	5+ years	INR 20–30 lakhs per annum	IIT Madras, IISc Bangalore, IIIT Hyderabad
Machine Learning Consultant	Python, SQL, machine learning algorithms, data visualization	1+ years	INR 8–12 lakhs per annum	ThoughtWorks, Nagarro, Mindtree
Machine Learning Engineer	Python, SQL, machine learning algorithms	0–1 years	INR 5–8 lakhs per annum	Amazon, Microsoft, Google, Flipkart

Why should you take up this machine learning course in Bangalore?

Some of the reasons why you should sign up for this ML course in Bangalore are as follows:

There are over 5000+ Machine Learning jobs open and available in Bangalore, India – LinkedIn
The average salary for a Machine Learning Engineer is ₹13,48,704 per year in Bangalore. – GlassDoor

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Machine Learning engineers rank among the top emerging jobs. - LinkedIn

The global Machine Learning market is expected to reach USD 8.81 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% - MarketsandMarkets

Machine Learning Course Fees in Bangalore

Online Classroom Preferred

Everything in Self-Paced Learning, plus
50+ Live sessions across 7 months of Instructor-led Training
One to one doubt resolution sessions
Attend as many batches as you want for Lifetime
Job Assistance

Weekend (Sat-Sun)

14 Dec 2024 08:00 PM - 11:00 PM

Weekend (Sat-Sun)

21 Dec 2024 08:00 PM - 11:00 PM

Weekend (Sat-Sun)

28 Dec 2024 08:00 PM - 11:00 PM

Weekend (Sat-Sun)

04 Jan 2025 08:00 PM - 11:00 PM

₹70,053 10% OFF Expires in

EMI Starts at

₹5,000

We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs

Financing Partners

The credit facility is provided by a third-party credit facility provider in Bangalore and any arrangement with such third party is outside Intellipaat’s purview.

Corporate Training

Customized Learning
Enterprise Grade Learning Management System (LMS)
24x7 Support
Enterprise Grade Reporting

Machine Learning Course Syllabus

Live Course Industry Expert Academic Faculty

Machine Learning Prerequisites - Python Basics

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Get introduced to basic programming terminologies and concepts like variables, data types, operators, functions, etc.
Understand the implementation of the object-oriented programming (OOPS) concept.
By the end of this module, you should be able to create programs in Python.

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Mastering SQL for Wrangling Data

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Learn the fundamentals of Structured Query Language (SQL) such as tables, joins, comments, operators, DDL (Data Definition Language), DQL (Data Query Language), DML (Data Manipulation Language), DCL (Data Control Language) and TCL (Transaction Control Language)
Understand and Implement subqueries, rules, views, pattern matching, UDFs, stored procedures, etc.
Optimise your SQL queries by indexing, grouping, sorting, and CTEs(Common Table Expressions).

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Exploring Data with Python: From Manipulation to Visualization

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Learn to manipulate data and create interactive visualisations using Python libraries like Numpy, Pandas, Matplotlib, and Seaborn.
Understand essential preprocessing techniques, such as exploratory data analysis, feature engineering, scaling, normalisation, and standardisation.
Using Python libraries, create bar charts, scatter plots, count plots, line plots, pie charts, doughnut charts, and more.

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Statistical Analysis Essentials: Descriptive, Inferential, and Probability

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Understand descriptive statistical measures such as central tendency, spread, five-point summary, etc.
Learn about inferential statistical measures such as correlation, covariance, confidence intervals, hypothesis testing, F-test, Z-test, t-test, ANOVA, and chi-square test.
Analyse the probability of an event using probability distribution, Bayes’s theorem and central limit theorem.

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Foundations of Machine Learning: From Concepts to Model Creation

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Get Introduced to machine learning, its types and usage.
Learn about regression, classification and clustering. Learn how to pick the right algorithms for a given problem statement.
Create a machine learning model for each of them and understand how to train, evaluate, and optimise them.

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Deep Dive into Machine Learning Algorithms: From Concepts to Implementation

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Deep Dive into different machine learning algorithms and understand their working, importance and usage.
Learn and Implement supervised machine learning algorithms such as Linear regression, Logistic Regression, Decision Tree, Random Forest, Support Vector Machine, Gradient Descent, K-nearest neighbours, and Time Series Forecasting.
Learn and Implement different unsupervised machine learning algorithms, such as K-means, Dimensionality reduction, linear discriminant analysis, Principal Component Analysis, etc.

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Deep Dive into Deep Learning: Neural Networks and TensorFlow

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Understand and learn the basics of Artificial Intelligence and Python libraries like Keras and TensorFlow.
Learn the essential concepts of neural networks, such as their definition, advantages, structure, usage, types, etc.
Implement crucial deep learning concepts, such as Deep neural networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), GPUs in deep learning, Autoencoders, Restricted Boltzmann machines, etc.

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Deep Dive into Generative AI, LSTM, Transformers and LLMs

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Explore the fundamentals of generative AI like LSTM, transformer architecture, BERT, etc.
Understand why these Gen AI models are better than traditional machine learning models.
Implement and learn about the evolution of large language models (LLMs) and their architecture to better understand context and perform complex generation tasks.

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Mastering Text Processing using NLP

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Understand the basic concepts of NLP, such as tokenisers, POS tagging, lemmatisation, trigrams, Ngrams, text classification, stemming, frequency distribution, etc.
Work with language models, sequencing tasks, syntax trees, chunking, chinking, context-free grammar, etc.
Learn about the mechanism of words, term frequency, text conversion, count vectoriser, inverse document, etc.

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Effective Prompt Engineering: Context, Specificity, and Refinement

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Learn the basics of Prompt Engineering.
Explore various strategies for prompt design.
Understand methods for evaluating prompt effectiveness and applying feedback loops to optimise the output.

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Get Started with MLOps: Development to Deployment

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Understand the fundamental workings of MLOps and its lifecycle, from developing the model to evaluating and deploying it over Azure Machine Learning.
Get introduced to Microsoft Azure Machine Learning service and deploy your first machine learning model on it.

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Machine Learning Capstone Project

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In this machine learning capstone project, you will create an end-to-end machine learning pipeline. You will analyse the problem and suggest solutions based on data insights.

You will start by extracting and loading the data, followed by transforming it into a format suitable for driving inferences.
The next step will be manipulating and preprocessing the data to prepare it for creating a model.
Before creating the machine learning model, we must perform feature engineering related to the problem statement.
Then, we will select a suitable model that fits the problem statement and the data, train it with the training dataset, and test it using the testing dataset.
The last step is to evaluate the model and monitor it so that it gives a proper outcome.

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Electives:

Reporting Advanced Data Insights: PowerBI

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Get introduced to PowerBI basics like importing data and creating dashboard reports for practical business intelligence.
Understand the usage of Data Analysis Expressions (DAX) to create custom metrics and perform calculations.
Create a PowerBI dashboard from scratch using everything you have learnt in this module, from creating visualisations, slicers, DAX, etc.

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Interview Preparation: Your Roadmap to Employment

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You will be armed with some of the best job search strategies to help you search for jobs efficiently.
Create ATS friendly resume and LinkedIn profile that will increase your visibility in the industry market.
Give multiple mock interviews to industry professionals to get acclimatised to the types of questions and the interview environment.
Grab placement opportunities with our network of 3100+ hiring partners on clearing the placement readiness test (PRT).

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Excel Fundamentals: Formatting, Functions, and Data Analysis

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Learn the basics of MS Excel, such as getting familiar with the interface, formatting cells, alignments, sorting, filters, and fonts.
Implement and understand formulae and functions that make your Excel workbook dynamic.
Learn to create chart illustrations and apply data validation rules and conditional formatting for better trend analysis.
Make use of Excel for classification and regression problems.

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Machine Learning Training in Bangalore Projects

Property Price Prediction System

The property price prediction project involves analysing a dataset containing 75+ features that indicate different property characteristics. You will use this data to create a model that accurately predicts the property's sale price.

Income Prediction System

In this project, you will analyse the census income dataset from the UCI Machine Learning repository, which contains income information for 47,000+ individuals. You must handle missing values and predict people's annual incomes.

Face Detection System using OpenCV and Glob

In this project, you will use Python, OpenCV, and Glob to develop a face detection system that detects multiple faces in a single image. The project includes loading the dataset, applying the algorithm and highlighting the detected faces.

Movies Recommendation System

This project involves analysing and applying recommendation models to the Netflix dataset. The models will recommend movies to users based on their preferences and viewing history using ‘user-based collaborative filtering’ based on past ratings.

Restaurant Revenue Prediction

Work with an ensemble model to predict annual restaurant sales using features like opening data and city and restaurant types. Use packages like Caret, Boruta, and dplyr to analyse the dataset and forecast sales.

HR Analytics

Learn to work with the HR Analytics dataset and understand how methodologies can help you reimagine HR problem statements. Understand the dataset's features and in the end, evaluate the model using a metric identification process.

Joke Rating Prediction

Work with the dataset taken from the famous jester online Joke Recommender system and successfully create a model to predict the ratings for jokes that will be given by the users (the same users who earlier rated another joke)

Machine Learning Course in Bangalore FAQs

Why should I join this machine learning course in Bangalore at Intellipaat?

Machine learning course in Bangalore provides practical assignments and complete training on the concept of ML & Python. It includes topics like classifications, linear regression and much more. Get a valued certificate, real-world projects, and lifetime access to resources. 24/7 support is there to help in your career growth.

How to enroll in this online machine learning course in Bangalore?

To enroll in our machine learning training in Bangalore, we have made the enrollment process very simple; visit our website, go to the course page and follow the instructions to complete registration. On enrolment, you will be granted access to the course material and resources.

What is a machine learning course in Bangalore?

A machine learning course provides you with all the relevant machine learning concepts and skills, covering data preprocessing, feature engineering, supervised and unsupervised learning, deep learning, and model evaluation. It also includes practical projects for hands-on experience.

What job roles can I apply for after the completion of my machine learning course in Bangalore?

Here are some of the top job roles that you can consider after completing the best online ML courses in Bangalore:

Machine Learning Engineer
Human-centered Machine Learning Designer
Data Scientist
Business Intelligence Developer
NLP Scientist

Where does Intellipaat provide Machine Learning Course near me in Bangalore with placement?

Intellipaat has been serving ML enthusiasts from every corner of the city. You can be living in any locality in Bengaluru, be it Marathahalli, Koramangala, BTM Layout, Jayanagar, Sarjapur, Vijaynagar, Whitefield, HSR Layout, Indira Nagar, Electronic City, or anywhere. You can have 24/7 access to our machine learning online course sitting at your home or office.

Area	Postal Code
Ammrutha Halli	560092
Maruthi Seva Nagar	560033
Kuvempu Layout	560077
Bellandur	560103
Jayanagar III Block	560011
Anandnagar	560024
Nandinilayout	560096
B SK II Stage	560070
Indiranagar	560038
Yelahanka	560063
Chickpet	560053
Domlur	560071
Bansashankari III Stage	560085
Vimanapura	560017
Nagarbhavi	560072
Basaveshwaranagar	560079
Bommanahalli	560068
Mico Layout	560076
Electronic City	560100
Taverekere	560029
Nehru Nagar	560020
Agram	560007
Halsuru Pete	560002
Basavanagudi	560004
R.M.V. Extension II	560094
Jayanagar	560041
Carmelaram	560035
New Thippasandra	560075
Kanakanagar	560032
Nayandahalli	560039
Fraser Town	560005
Jalahalli East	560014
Kacharakanahalli	560084
Malleswaram West	560055
Bannerghatta	560083
Srirampuram	560021
Rajarajeshwarinagar	560098
Sivan Chetty Gardens	560042
Dommasandra	562125
Whitefield	560066
Vidyaranyapura	560097
Bolare	560082
Mathikere	560054
Doddanekkundi	560037
Hampinnagar	560104
C.V.Raman Nagar	560093
Chikkabanavara	560090
Attur	560064
Kumbalagodu	560074
Bhattarahalli	560049
Chikkalasandra	560061
Sharada Nagar	560065
Jalahalli West	560015
H.K.P Road	560051
Jp Nagar III Phase	560078
Sadashiva Nagar	560080
Krishnarajapuram R S	560016
Mahalakshipuram Layout	560086
Guddadahalli	560026
Chudenapura	560060
Vidhana Soudha	560001
Shanthinagar	560027
Rajaji Nagar	560010
Chandapura	560099
Ramakrishna Hegde Nagar	560045
Shalabh Bhatnagar	560012
Peenya	560058
Ashoknagar	560050
Jalahalli Nacen	560013
Banawadi	560043
Malleswaram	560003
Doddakallasandra	560062
K.G Road	560009
Muthusandra	560087
Marathahalli	560056
JC Nagar	560006
Chamrajpet	560018
HSR Layout	560102
Devanagundi	560067
Yeswanthpura	560022
Mahadevapura	560048
Hulsur Bazaar	560008
Magadi Road	560023
Adugodi	560030
Bagalgunte	560073
Devasandra	560036
Rv Niketan	560059
Narasimharaja Colony	560019
Koramangala VI Bk	560095
Agara	560034
Vijayanagar East	560040
Benson Town	560046
Viveknagar S.O	560047
Dasarahalli	560057
Bapagrama	560091
Richmond Town	560025

What are the other top machine learning courses Intellipaat offers in Bangalore?

Intellipaat offers one of the best ML courses in Bangalore that will help you become a successful ML engineer. The promising courses, such as data science, artificial intelligence, R programming, data analytics, and others, are comprehensive and tailor-made to suit you as per the industry needs.

Which companies recognize this Machine Learning Certification?

The Machine Learning Course is recognized by the top 500 MNCs around the world, including Sony, Mu Sigma, Cisco, IBM, Standard Chartered Bank, TCS, Infosys, Ericsson, Genpact, Cognizant, and so on.

How long does it take to learn a machine learning course in Bangalore?

The duration of an online machine learning course in Bangalore typically takes seven months of instructor-led training.

Machine Learning Course in Bangalore

Rated #1 Machine Learning Training by India TV

ML Course Key Features

Machine Learning Course in Bangalore Overview

What will you learn in this machine learning course in Bangalore?

Who should take up this machine learning training in Bangalore?

What are the prerequisites for taking up this one of the best machine learning training in Bangalore?

What are the job opportunities of machine learning in Bangalore?

Why should you take up this machine learning course in Bangalore?

Career Transition

Meet Your Course Mentors

Madhu Babu Cherukuri

Vinayak Panchaman

Muthusamy Manigandan

18+ Key Skills You'll Master

9+ Essential Tools You'll Learn

Machine Learning Course Fees in Bangalore

Online Classroom Preferred

Corporate Training

Machine Learning Course Syllabus

Machine Learning Prerequisites - Python Basics

Mastering SQL for Wrangling Data

Exploring Data with Python: From Manipulation to Visualization

Statistical Analysis Essentials: Descriptive, Inferential, and Probability

Foundations of Machine Learning: From Concepts to Model Creation

Deep Dive into Machine Learning Algorithms: From Concepts to Implementation

Deep Dive into Deep Learning: Neural Networks and TensorFlow

Deep Dive into Generative AI, LSTM, Transformers and LLMs

Mastering Text Processing using NLP

Effective Prompt Engineering: Context, Specificity, and Refinement

Get Started with MLOps: Development to Deployment

Machine Learning Capstone Project

Electives:

Reporting Advanced Data Insights: PowerBI

Interview Preparation: Your Roadmap to Employment

Excel Fundamentals: Formatting, Functions, and Data Analysis

Property Price Prediction System

Income Prediction System

Face Detection System using OpenCV and Glob

Movies Recommendation System

Restaurant Revenue Prediction

HR Analytics

Joke Rating Prediction

Career Services

Machine Learning Certification in Bangalore

Machine Learning Certification Course Reviews

Machine Learning Course in Bangalore FAQs

Why should I join this machine learning course in Bangalore at Intellipaat?

How to enroll in this online machine learning course in Bangalore?

What is a machine learning course in Bangalore?

What job roles can I apply for after the completion of my machine learning course in Bangalore?

Where does Intellipaat provide Machine Learning Course near me in Bangalore with placement?

What are the other top machine learning courses Intellipaat offers in Bangalore?

Which companies recognize this Machine Learning Certification?

How long does it take to learn a machine learning course in Bangalore?

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