Machine Learning Course in Boston

Machine Learning Course in Boston Overview

Machine Learning training in Boston provides you with an in-depth understanding of the concepts of Naive Bayes, time series analysis, Big Data Hadoop, Predictive Analytics, and much more through extensive applications on real-world datasets.

What to learn from this Machine Learning course in Boston?

Types and Applications of Machine Learning
Assumptions in linear regression
Introduction to Deep Learning
Implementation of a decision tree
Fundamentals of Naive Bayes
Performing linear regression
Introduction to natural language processing (NLP)

Who can enroll in this Machine Learning training in Boston by Intellipaat?

Our Machine Learning course in Boston can be availed by:

Data Analytics professionals
Business Intelligence experts
Experts from the domain of e-commerce and search engines
Freshers seeking a career in Machine Learning

Are there any prerequisites to join this Machine Learning course in Boston?

There are no prerequisites to learn this trending technology. Even freshers can apply for Intellipaat’s Machine Learning training program.

Why apply for Intellipaat's Machine Learning course in Boston?

The average annual salary of a Machine Learning Engineer in Boston, MA, is US$106,000 – Glassdoor
There are 2,000+ Machine Learning job vacancies in Boston, Massachusetts – LinkedIn
The Machine Learning market size is anticipated to rise to US$96.7 billion globally at a CAGR of 43.8% by 2025 – Grand View Research

Talk To Us

We are happy to help you 24/7

1-800-216-8930

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 in Boston Syllabus

Live Course Industry Expert Academic Faculty

Machine Learning Prerequisites - Python Basics

Preview

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.

Download Brochure

Mastering SQL for Wrangling Data

Preview

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).

Download Brochure

Exploring Data with Python: From Manipulation to Visualization

Preview

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.

Download Brochure

Statistical Analysis Essentials: Descriptive, Inferential, and Probability

Preview

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.

Download Brochure

Foundations of Machine Learning: From Concepts to Model Creation

Preview

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.

Download Brochure

Deep Dive into Machine Learning Algorithms: From Concepts to Implementation

Preview

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.

Download Brochure

Deep Dive into Deep Learning: Neural Networks and TensorFlow

Preview

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.

Download Brochure

Deep Dive into Generative AI, LSTM, Transformers and LLMs

Preview

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.

Download Brochure

Mastering Text Processing using NLP

Preview

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.

Download Brochure

Effective Prompt Engineering: Context, Specificity, and Refinement

Preview

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.

Download Brochure

Get Started with MLOps: Development to Deployment

Preview

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.

Download Brochure

Machine Learning Capstone Project

Preview

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.

Download Brochure

Electives:

Reporting Advanced Data Insights: PowerBI

Preview

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.

Download Brochure

Interview Preparation: Your Roadmap to Employment

Preview

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).

Download Brochure

Excel Fundamentals: Formatting, Functions, and Data Analysis

Preview

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.

Download Brochure

Machine Learning 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 Boston FAQs

Why should I join this Machine Learning course in Boston at Intellipaat?

Intellipaat provides comprehensive Machine Learning training in Boston through hands-on projects and case studies. A few of the many reasons for choosing Intellipaat’s ML training course includes the following:

You will learn various concepts such as ML using Python, classification techniques, linear algebra behind linear regression, logistic regression, supervised and unsupervised learning, and more.
After successfully completing the lectures, you will be awarded Intellipaat’s certificate, which holds merit in 100+ MNCs across the world.
This program covers real-time ML projects and step-by-step tasks that are highly relevant in the corporate world. It also includes an extensive curriculum, created by industry experts.
Our certification training will allow you to compete for some of the best positions in the world’s leading MNCs for higher salaries.
We provide lifetime access to videos, resources and their free upgrades to the latest version, and 24/7 learning support.

What are the other leading ML courses Intellipaat offers in Boston?

Intellipaat offers one of the top Machine Learning courses in Boston that will help you become an ML expert. Other courses such as R certification, Data Science, Data Analytics, Artificial Intelligence, and others are hands-on practical-based training programs.

What is Machine Learning?

Machine Learning is basically the process to collect real-world data, extract useful information from it, and then take actions to perform certain tasks without manual programming. It helps systems improve over time on their own by exploring various types of real-world data. It also allows organizations to improve their business strategies by knowing the insights that are extracted from the given business data.

Is this Machine Learning course in Boston suitable for beginners?

Intellipaat’s Machine Learning course in Boston is curated by industry experts who cover both basic and advanced concepts of this trending technology. Further, this program covers all the topics with the help of several real-life examples, which are extremely useful, especially for beginners.

Here, you will learn mathematics, statistics, etc. and then go on gaining in-depth knowledge of ML. So, if you are a beginner in this field and are aiming to pursue a career in it, then this is the best platform for you.

When will I have access to the lectures and assignments in this Machine learning training in Boston?

You can access all the lectures and assignments the moment you enroll in this program. Also, Intellipaat provides lifelong access to the complete material for you to refer to it as and when required.

Who provides the Machine Learning certification and how long is it valid for?

After completing this certification training, you will be awarded the certificate from us, which is valid for a lifetime.

Machine Learning Course in Boston

Rated #1 Machine Learning Training by India TV

Key Features

Machine Learning Course in Boston Overview

What to learn from this Machine Learning course in Boston?

Who can enroll in this Machine Learning training in Boston by Intellipaat?

Are there any prerequisites to join this Machine Learning course in Boston?

Why apply for Intellipaat's Machine Learning course in Boston?

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 Boston

Self Paced Training

Online Classroom Preferred

Corporate Training

Machine Learning Course in Boston 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 Boston

Machine Learning Training Reviews

Machine Learning Course in Boston FAQs

Why should I join this Machine Learning course in Boston at Intellipaat?

What are the other leading ML courses Intellipaat offers in Boston?

What is Machine Learning?

Is this Machine Learning course in Boston suitable for beginners?

When will I have access to the lectures and assignments in this Machine learning training in Boston?

Who provides the Machine Learning certification and how long is it valid for?

Related Courses

Artificial Intelligence Course

Big Data and Data Science Master’s Course

Data Science Master’s Program