Machine Learning Masters Program Training Course - Updated [May 2021] | ACTE
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Machine Learning Masters Program Training Course

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  • Beginner & Advanced level Classes.
  • Hands-On Learning in Python.
  • Best Practice for interview Preparation Techniques in Python.
  • Lifetime Access for Student’s Portal, Study Materials, Videos & Top MNC Interview Question.
  • Affordable Fees with Best Curriculum Designed by Industrial Python Expert.
  • Delivered by 10+ years of Python Certified Expert | 12332+ Students Trained & 350+ Recruiting Clients.
  • Next Machine Learning Masters Program Training Batch to Begin this week – Enroll Your Name Now!

  • 120+ Hrs Hands On Training
  • 5 Live Projects For Hands-On Learning
  • 35+ Practical Assignments
  • 24/7 Students
  • Course Syllabus Python Programming Certification

    ₹ 16000
  • Course SyllabusMachine Learning with Python

    ₹ 22000
  • Course Syllabus Graphical Models Certification

    ₹ 16000
  • Course SyllabusReinforcement Learning

    ₹ 12000
  • Course SyllabusNatural Language Processing with Python

    ₹ 16000
  • Total Amount

    ₹ 82000
  • Discount Offered

    ₹ 16400
  • Amount To Pay

    ₹ 65600

Have Queries? Ask our Experts

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Upcoming Batches

14- JUN- 2021
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

16- JUN- 2021
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

19- JUN- 2021
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session

19- JUN- 2021
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

Can't find a batch? Pick your own schedule

Outline of Machine Learning Masters Program Training Course

  • We train students for interviews and Offer Placements in corporate companies.
  • Ideal for Fresh graduates from Computer stream and experienced candiates
  • You gain knowledge of Python Programming with and Advanced tools, but also gain exposure to Industry best practices, Aptitude & SoftSkills
  • Experienced Trainers and sophisticated Lab Facility
  • Python Certification Guidance Support with Exam Dumps
  • For Corporate, we act as one stop recruiting partner. We provide right skilled candidates who are productive right from day one
  • Guidance for Resume & Interviews Preparation Support
  • Learning Concepts:Python Programming Certification Course, Machine Learning Certification Training using Python, Graphical Models Certification Training etc
  • START YOUR CAREER WITH MACHINE LEARNING MASTERS PROGRAM TRAINING COURSE THAT GETS YOU A JOB OF UPTO 6 LACS IN JUST 60 DAYS!
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs

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About Machine Learning Masters Program Training Course

We would do whatever it takes to make this a definitive Machine Learning Masters Program Training Course. We will try to cover almost all the topics related to Machine Learning and python technology. It would be your unique destination to learn Machine Learning Masters Program Training Course Certification.

Learning Machine Learning Masters Program Training Course can help open up many opportunities for your career. It is a great skill-set to have as many roles in the job market requires proficiency in Basics of Python. Mastering Machine Learning Masters Program Training Course can help you get started with your career in IT Companies like Paypal, Capgemini, Accenture, Mphasis, CTS, MindLabs hiring Machine Learning Engineer.

This course will not only cover the core issues but will also cover many more advanced topics. This course is going to be one of the most comprehensive programs on ACTE. Python Programming Certification Course, Machine Learning Certification Training using Python, Graphical Models Certification Training: THERE IS NO PROBLEM. Everything is covered

Best Job Oriented Topics Covered
  • Python Programming Certification Course

    Python Data Structures

    Exception handling with Python

  • Graphical Models Certification Training

    Machine Learning Certification Training using Python

    File handling Modules with Python

  • Natural Language Processing with Python Certification

    Reinforcement Learning

    Data Types with Python

A Machine Learning Engineer career path is one of the foremost desirable and promising ones within information Science. The job is to form and develop self-learning metric capacity unit applications by acting applied math analysis and fine-tuning them victimization takes a look at results.

There is little doubt the science of advancing machine learning algorithms through analysis. It needs creative thinking, experimentation, and persistence. The implementation of existing algorithms and models figure well for your new application.

Machine Learning could be a remunerative career that needs a particular quantity of following and knowledge in mathematics topics like statistics, algebra, and calculus, the artificial language with python programming.

We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs. Many of these companies have openings for developer. Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.

The minimum eligibility that's needed could be a degree with a minimum of one year of experience or a degree in arithmetic or Statistics. to urge a lot of info, click here to visualize the Machine learning program.

Generally, machine learning engineers should be hot in engineering science and programming, arithmetic and statistics, knowledge science, deep learning, and drawback finding. Here could be a breakdown of a number of the abilities required, per Udacity.

Machine learning is all regarding creating computers perform intelligent tasks while not expressly secret writing them to try and do, therefore. It can achieve by coaching the pc with many knowledge. Machine learning will notice whether or not a mail is spam, acknowledge written digits.

Our courseware is designed to give a hands-on approach to the students in Machine Learning Masters Program. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.

  • Software Engineering and System Design
  • Applying Machine Learning Algorithms and Libraries
  • Data Modeling and Evaluation
  • Probability and Statistics
  • Fundamentals of Computer Science and Programming

Three-Four months is long enough to learn a considerable amount of Machine Learning Masters Program. If you are already able to fluently program in another language, then 2 months would be a generous amount of time to learn enough Machine Learning Masters Program to meaningfully contribute in a professional capacity.

Top reasons to consider a career in Machine Learning Masters Program?

  • It's a continual learning curve.
  • You get to figure on real challenges.
  • Your career growth is going to be off the charts.
  • You'll find many career opportunities.
  • You can explore different domains in information Science.
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Key Features

ACTE offers Machine Learning Master Programming Training in more than 27+ branches with expert trainers. Here are the key features,

  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.

Machine Learning Masters Program Course Content

Syllabus of Python Programming Certification Course Course
Module 1: An Introduction to Python
  • What can Python do?
  • Why Python?
  • Good to know
  • Python Syntax compared to other programming languages
  • Python Install
Module 2 : Beginning Python Basics
  • The print statement
  • Comments
  • Python Data Structures & Data Types
  • String Operations in Python
  • Simple Input & Output
  • Simple Output Formatting
  • Operators in python
Module 3: Python Program Flow
  • Indentation
  • The If statement and its’ related statement
  • An example with if and it’s related statement
  • The while loop
  • The for loop
  • The range statement
  • Break &Continue
  • Assert
  • Examples for looping
Module 4: Functions& Modules
  • Create your own functions
  • Functions Parameters
  • Variable Arguments
  • Scope of a Function
  • Function Documentations
  • Lambda Functions& map
  • n Exercise with functions
  • Create a Module
  • Standard Modules
Module 5: Exceptions Handling
  • Errors
  • Exception handling with try
  • handling Multiple Exceptions
  • Writing your own Exception
Module 6: File Handling
  • File handling Modes
  • Reading Files
  • Writing& Appending to Files
  • Handling File Exceptions
  • The with statement
Module 7: Classes In Python
  • New Style Classes
  • Creating Classes
  • Instance Methods
  • Inheritance
  • Polymorphism
  • Exception Classes & Custom Exceptions
Module 8: Generators and iterators
  • Iterators
  • Generators
  • The Functions any and all
  • With Statement
  • Data Compression
Module 9: Data Structures
  • List Comprehensions
  • Nested List Comprehensions
  • Dictionary Comprehensions
  • Functions
  • Default Parameters
  • Variable Arguments
  • Specialized Sorts
Module 10: Collections
  • namedtuple()
  • deque
  • ChainMap
  • Counter
  • OrderedDict
  • defaultdict
  • UserDict
  • UserList
  • UserString
Advance PythonModule 11: Writing GUIs in Python
  • Introduction
  • Components and Events
  • An Example GUI
  • The root Component
  • Adding a Button
  • Entry Widgets
  • Text Widgets
  • Check buttons
Module 12: Python SQL Database Access
  • Introduction
  • Installation
  • DB Connection
  • Creating DB Table
  • INSERT, READ, UPDATE, DELETE operations
  • COMMIT & ROLLBACK operation
  • handling Errors
Module 13: Network Programming
  • Introduction
  • A Daytime Server
  • Clients and Servers
  • The Client Program
  • The Server Program
Module 14: Date and Time
  • sleep
  • Program execution time
  • more methods on date/time
Module 15: Few more topics in-detailed
  • Filter
  • Map
  • Reduce
  • Decorators
  • Frozen set
  • Collections
Module 16: Regular expression
  • Split
  • Working with special characters, date, emails
  • Quantifiers
  • Match and find all
  • character sequence and substitute
  • Search method
Module 17: Threads ESSENTIAL
  • Class and threads
  • Multi-threading
  • Synchronization
  • Treads Life cycle
  • use cases
Module 18: Accessing API ESSENTIAL
  • Introduction
  • Facebook Messenger
  • Openweather
Module 19: DJANGO ESSENTIAL
Syllabus of Machine Learning Certification Training using Python Course
Module 1: Introduction to Data Science
  • Define Data Science
  • Discuss the era of Data Science
  • Describe the Role of a Data Scientist
  • Illustrate the Life cycle of Data Science
  • List the Tools used in Data Science
  • State what role Big Data and Hadoop, Python, R and Machine Learning play in Data Science
Syllabus of Machine Learning Certification Training using Python Course
Module 1: Introduction to Data Science
  • Define Data Science
  • Discuss the era of Data Science
  • Describe the Role of a Data Scientist
  • Illustrate the Life cycle of Data Science
  • List the Tools used in Data Science
  • State what role Big Data and Hadoop, Python, R and Machine Learning play in Data Science
Module 2: Data Extraction, Wrangling, & Visualization
  • Data Analysis Pipeline
  • What is Data Extraction
  • Types of Data
  • Raw and Processed Data
  • Data Wrangling
  • Exploratory Data Analysis
  • Visualization of Data
Module 3: Introduction to Machine Learning with Python
  • Python Revision (numpy, Pandas, scikit learn, matplotlib)
  • What is Machine Learning?
  • Machine Learning Use-Cases
  • Machine Learning Process Flow
  • Machine Learning Categories
  • Linear regression
  • Gradient descent
Module 4: Supervised Learning - I
  • What is Classification and its use cases?
  • What is Decision Tree?
  • Algorithm for Decision Tree Induction
  • Creating a Perfect Decision Tree
  • Confusion Matrix
  • What is Random Forest?
Module 5: Dimensionality Reduction
  • Introduction to Dimensionality
  • Why Dimensionality Reduction
  • PCA
  • Factor Analysis
  • Scaling dimensional model
  • LDA
Module 6: Supervised Learning - II
  • What is Naïve Bayes?
  • How Naïve Bayes works?
  • Implementing Naïve Bayes Classifier
  • What is Support Vector Machine?
  • Illustrate how Support Vector Machine works?
  • Hyperparameter optimization
  • Grid Search vs Random Search
  • Implementation of Support Vector Machine for Classification
Module 7: Unsupervised Learning
  • What is Clustering & its Use Cases?
  • What is K-means Clustering?
  • How K-means algorithm works?
  • How to do optimal clustering
  • What is C-means Clustering?
  • What is Hierarchical Clustering?
  • How Hierarchical Clustering works?
Module 8: Association Rules Mining and Recommendation Systems
  • What are Association Rules?
  • Association Rule Parameters
  • Calculating Association Rule Parameters
  • Recommendation Engines
  • How Recommendation Engines work?
  • Collaborative Filtering
  • Content Based Filtering
Module 9: Reinforcement Learning
  • What is Reinforcement Learning
  • Why Reinforcement Learning
  • Elements of Reinforcement Learning
  • Exploration vs Exploitation dilemma
  • Epsilon Greedy Algorithm
  • Markov Decision Process (MDP)
  • Q values and V values
  • Q – Learning
  • α values
Module 10: Time Series Analysis
  • What is Time Series Analysis?
  • Importance of TSA
  • Components of TSA
  • White Noise
  • AR model
  • MA model
  • ARMA model
  • ARIMA model
  • Stationarity
  • ACF & PACF
Module 11: Model Selection and Boosting
  • What is Model Selection?
  • Need of Model Selection
  • Cross – Validation
  • What is Boosting?
  • How Boosting Algorithms work?
  • Types of Boosting Algorithms
  • Adaptive Boosting
Syllabus of Graphical Models Certification Training Course
Module 1: Introduction to Graphical Model
  • Why do we need Graphical Models?
  • Introduction to Graphical Model
  • How does Graphical Model help you deal with uncertainty and complexity?
  • Types of Graphical Models
  • Graphical Modes
  • Components of Graphical Model
  • Representation of Graphical Models
  • Inference in Graphical Models
  • Learning Graphical Models
  • Decision theory
  • Applications
Module 2: Bayesian Network
  • What is Bayesian Network?
  • Advantages of Bayesian Network for data analysis
  • Bayesian Network in Python Examples
  • Independencies in Bayesian Networks
  • Criteria for Model Selection
  • Building a Bayesian Network
Module 3: Markov’s Networks
  • Example of a Markov Network or Undirected Graphical Model
  • Markov Model
  • Markov Property
  • Markov and Hidden Markov Models
  • The Factor Graph
  • Markov Decision Process
  • Decision Making under Uncertainty
  • Decision Making Scenarios
Module 4: Inference
  • Inference
  • Complexity in Inference
  • Exact Inference
  • Approximate Inference
  • Monte Carlo Algorithm
  • Gibb’s Sampling
  • Inference in Bayesian Networks
Module 5: Model Learning
  • General Ideas in Learning
  • Parameter Learning
  • Learning with Approximate Inference
  • Structure Learning
  • Model Learning: Parameter Estimation in Bayesian Networks
  • Model Learning: Parameter Estimation in Markov Networks
Syllabus of Reinforcement Learning Course
Module 1: An Introduction to Sequential Decision-Making

For the first week of this course, you will learn how to understand the exploration-exploitation trade-off in sequential decision-making, implement incremental algorithms for estimating action-values, and compare the strengths and weaknesses to different algorithms for exploration. For this week’s graded assessment, you will implement and test an epsilon-greedy agent.

Module 2: Markov Decision Processes

When you’re presented with a problem in industry, the first and most important step is to translate that problem into a Markov Decision Process (MDP). The quality of your solution depends heavily on how well you do this translation. This week, you will learn the definition of MDPs, you will understand goal-directed behavior and how this can be obtained from maximizing scalar rewards, and you will also understand the difference between episodic and continuing tasks. For this week’s graded assessment, you will create three example tasks of your own that fit into the MDP framework.

Module 3: Value Functions & Bellman Equations

Once the problem is formulated as an MDP, finding the optimal policy is more efficient when using value functions. This week, you will learn the definition of policies and value functions, as well as Bellman equations, which is the key technology that all of our algorithms will use.

Module 4: Dynamic Programming

This week, you will learn how to compute value functions and optimal policies, assuming you have the MDP model. You will implement dynamic programming to compute value functions and optimal policies and understand the utility of dynamic programming for industrial applications and problems. Further, you will learn about Generalized Policy Iteration as a common template for constructing algorithms that maximize reward. For this week’s graded assessment, you will implement an efficient dynamic programming agent in a simulated industrial control problem.

Syllabus of Natural Language Processing with Python Certification Course
Module 1: Introduction to Text Mining and NLP
  • Overview of Text Mining
  • Need of Text Mining
  • Natural Language Processing (NLP) in Text Mining
  • Applications of Text Mining
  • OS Module
  • Reading, Writing to text and word files
  • Setting the NLTK Environment
  • Accessing the NLTK Corpora
Module 2: Extracting, Cleaning and Pre-processing Text
  • Tokenization
  • Frequency Distribution
  • Different Types of Tokenizers
  • Bigrams, Trigrams & Ngrams
  • Stemming
  • Lemmatization
  • Stopwords
  • POS Tagging
  • Named Entity Recognition
Module 3: Analyzing Sentence Structure
  • Syntax Trees
  • Chunking
  • Chinking
  • Context Free Grammars (CFG)
  • Automating Text Paraphrasing
Module 4: Text Classification - I
  • Machine Learning: Brush Up
  • Bag of Words
  • Count Vectorizer
  • Term Frequency (TF)
  • Inverse Document Frequency (IDF)
Module 5: Text Classification - II
  • Converting text to features and labels
  • Multinomial Naive Bayes Classifier
  • Leveraging Confusion Matrix
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Hands-on Real Time Projects in Machine Learning

Project 1
Cartoonify Image with Machine Learning

Thus, you will build a python application that will transform an image into its cartoon using machine learning libraries.

Project 2
Emojify – Create Your Own Emojis

It builds a convolution neural network to recognize facial emotions and classify human facial expressions to emojis.

Project 3
Fake News Detection Project

Fake news spread like wildfire, it helps to learn how to distinguish fake news from a real one.

Project 4
Bitcoin Price Predictor Project

This project will help you predict the bitcoin prices using previous data by using the Blockchain technology.

Our Top Hiring Partner for Placements

ACTE offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.

  • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
  • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
  • After completion of 70% Machine Learning Master Program Training course content, we will arrange the interview calls to students & prepare them to F2F interaction
  • Machine Learning Master Programming Trainers assist students in developing their resume matching the current industry needs
  • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
  • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

Be a Certified Expert in Machine Learning Masters Program

Acte 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 Acte 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.

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

Get Certified

a physical version of your officially branded and security-marked Certificate.

Get Certified

About Experienced Trainer in Machine Learning

  • Our Machine Learning Master Program Training Course: Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
  • As all Trainers are Machine Learning domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
  • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
  • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
  • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Machine learning Training to the students.
  • We have received various prestigious awards for Machine Learning Training from recognized IT organizations.

Machine Learning Course Reviews

Our ACTE Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.

NANCY RAMKUMAR

Studying

I had completed my machine learning with advance concepts in by ACTE. The best place to excel your next phase of career. The trainers and faculty here were very friendly and comfortable. My trainer had explained each and every topics clearly and he won't move to another topic until I was clear in it. Thanks to my trainer and ACTE for this wonderful opportunity!!

CHANDRAN KANNAN

Software Engineer

It is a great curse for beginners and for filling in some gaps for intermediate programmers. I wouldn't recommend it though for advanced programmers as the knowledge is rather basic and even at x2.0 speed it will become boring. Again, great course overall of beginners who want to get started with machine learining. Thanks!

AMAN ADITHYA

Software Engineer

This course is really great, it's very awesome that the course constantly gets updated, and you get answers in Q&A very fast, also instructor explanation is excellent and clear, this is the only course you need to master machine learning, and Mr Venket does an excellent job on that, the only con for me was that it didn't have much theory covered it went right to code without showing slides about how it works, but thankfully they are adding them now, so this is really a 5-star course, thank you ACTE for these amazing courses.

KEERTHANA V

Studying

One of the best Programming courses that i have taken in a long time , ACTE has put lot of effort into making the course easy to learn , even for a machine learning Novice like me, which makes it truly a masterclass course to attend ,and the responses from Goran and others have been very helpful .

RAMYA PANDIAN

Software Testing

This Course is really a masterclass, covers from basic to advanced level. Would definitely recommend to anyone interested in learning Mastering machine learning concepts. All concepts explained in a well structured course. Tim teaches the concepts really well with coding examples. Follow along with him on code, you will learn a lot on writing a professional code too!.. Thanks ACTE & Team

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Machine Learning Masters Program Training Course FAQs

Looking for better Discount Price?

Call now: +9193833 99991 and know the exciting offers available for you!
  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    ACTE Gives Certificate For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Machine Learning Masters Program Training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Machine Learning Masters Program Training Course At ACTE?

  • Machine Learning Masters Program Training Course in ACTE is designed & conducted by Machine Learning Masters Program Training Course in experts with 10+ years of experience in the Machine Learning Masters Program Training domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Machine Learning Masters Program Training Course in batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Machine Learning Masters Program Training Course. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at 93833 99991 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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