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Machine Learning Training in Chennai

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Weekdays Regular

08:00 AM & 10:00 AM Batches

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


Weekdays Regular

08:00 AM & 10:00 AM Batches

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


Weekend Regular

(10:00 AM - 01:30 PM)

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


Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

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Get Our Expert Machine Learning Course

  • A solid grasp of the machine learning's principles, algorithms, and applications is intended to be provided by the machine learning course.
  • Through interactive projects, participants will gain real-world knowledge on how to use machine learning in various contexts.
  • This Course covers machine learning methodologies, feature engineering, model evaluation, implementation, and data visualization, offering practical instruction.
  • ACTE Machine Learning course provides sector-specific training to enhance students' machine learning abilities and knowledge for the workforce.
  • Students have a chance to obtain practical experience working on real machine learning projects via placements in a range of fields, like healthcare, finance, and retail.
  • You will be equipped to create and use machine learning models as well as make data-driven decisions by the end of the course.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

Course Objectives

  • Machine learning offers a competitive edge in data-driven environments by enabling informed judgments and predictive models through data insights.
  • Machine learning fosters lifelong learning and development, allowing skill growth and career advancement by staying updated on new developments.
  • Machine learning fundamentals
  • Data Preprocessing
  • Model Evaluation
  • Supervised Learning Algorithms
  • Unsupervised Learning Algorithms
  • Model Deployment.

Machine learning is disrupting industries by transforming decision-making, streamlining operations, and gaining insights from vast data. Acquiring Machine Learning skills is highly sought after in today's job market.

  • Proficiency in programming
  • Basic Machine Learning Concepts
  • Data Analysis and Manipulation
  • Mathematics
  • Statistics.
  • Supervised Learning
  • Unsupervised Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Ensemble Methods
  • Model Optimization.
  • Machine Learning Engineer
  • Data Scientist
  • AI Research Scientist
  • Data Analyst
  • NLP Engineer

A Machine Learning course can be remarkable, offering the potential to unlock diverse opportunities in fields like data science, AI research, and technology. The course quality, the learner's dedication, and alignment with career goals play a crucial role in determining its impact.

Do students get a chance to work on real-world projects during the ML course?

Yes, Students often work on practical projects, such as website creation and app code writing, to gain familiarity with workplace technologies and procedures. This prepares them for fieldwork and enhances their understanding of workplace procedures.

What is the scope of a Machine Learning?

  • Due to the rising acceptance of machine learning techniques across industries, a machine learning course's scope is broad and constantly developing.
  • A machine learning education can enhance careers in various industries, including data science, artificial intelligence, consulting, finance, healthcare, and e-commerce.

Is Machine Learning a good career in the future?

Yes, Machine learning is constantly evolving due to scientific advancements, offering ongoing learning and cutting-edge tools. This intellectually stimulating and rewarding field fosters a culture of invention, investigation, and problem-solving.

What are the tools used in machine learning?

  • Python
  • R
  • TensorFlow
  • PyTorch
  • Apache Spark
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An Elaborate Overview of Machine Learning

The focus on machine learning in IT and Data science is a rapidly evolving field. This branch of artificial intelligence aims to create robots that can autonomously perceive patterns and draw conclusions about the outside world. Rephrased: By learning from data, computers can gradually advance their capabilities thanks to machine learning. This is accomplished by sifting through mountains of data using statistical techniques and computing algorithms in search of patterns, trends, and linkages. It's primary objective is to construct intelligent systems that can continuously learn from data or experience and perform better. This is accomplished by an iterative process of training models using labelled or unlabeled data and applying them to make predictions or take actions on fresh, untainted data. The models adapt their parameters to improve performance by learning from the patterns and correlations in the data.



Additional Info

Career scope of Machine Learning

Machine learning (ML) presents numerous professional opportunities, with a growing demand for specialists in various fields due to widespread adoption across businesses.

  • Data Scientist: They create algorithms, work with massive datasets, and employ statistical techniques to address challenging business issues.
  • Machine Learning Engineer: ML solutions developed through data pretreatment, feature engineering, model selection, optimization, deployment, and testing.
  • AI Researcher: You spend your time extending the capacity of ML algorithms, creating novel strategies, and advancing AI technology.
  • Data Analyst: Data analysts who work with vast data sets to find patterns, do statistical analysis, and create useful insights can benefit from using ML expertise.
  • Research Scientist: They concentrate on creating new algorithms, enhancing current models, and disseminating academic publications.
  • Entrepreneurship: Machine learning abilities give a strong foundation for starting your own firm or starting a startup with a machine learning focus.
  • Industry-specific ML Roles: In order to analyse medical images and detect fraud, ML positions are designed for a variety of industries, like manufacturing, banking, marketing, and retail.

Machine Learning Roles and Responsibilities

Job title and industry influence machine learning functions and responsibilities. Some typical positions and duties include:

  • Finding patterns, trends, and relationships that can be used to train predictive models by analysing and understanding huge data sets.
  • collaborating with subject-matter experts to learn the problem domain, verify model outputs, and incorporate domain expertise into ML solutions.
  • To prepare data for ML algorithms, cleaning and preparing raw data, addressing missing values, removing outliers, and doing feature engineering are all required.
  • ML models are integrated into production systems to ensure scalability, security, and reliable inference for batch or real-time predictions.
  • keeping updated of the most recently published articles, discoveries, and advancements in the field of machine learning.
  • measuring accuracy and generalisation ability by evaluating ML model performance with the right evaluation criteria, cross-validation, and statistical methods.
  • Applying ethical standards while making sure ML models are fair, reliable, and clear, especially when dealing with sensitive data or potential biases.

Trends and Techniques used in Machine Learning

ML rapidly develops new methods and trends to improve model performance, solve problems, and enhance system functionality.

  • Transfer learning utilizes trained models and their representations to complete tasks, transferring knowledge across domains without rigorous training on fresh datasets.
  • AutoML automates data gathering, feature engineering, model selection, hyperparameter tweaking, and deployment in machine learning (ML) modeling.
  • GANs are used to generate realistic and original data for tasks including picture synthesis, style transfer, and data augmentation.
  • The development of NLP approaches has made it possible for machines to comprehend, produce, and process human language.
  • Edge computing involves ML activities on edge devices, like smartphones and IoTs, without relying heavily on cloud infrastructure.
  • Unsupervised learning techniques like clustering, anomaly detection, and dimensionality reduction are explored for pattern extraction.

Organizational Benefits of Machine Learning

There are a number of organizational benefits that machine learning may provide that have a big impact on business in a variety of sectors.

  • Firms may analyze vast amounts of data using machine learning to gain valuable insights. More informed and precise strategic decisions are made as a result of this data-driven decision-making process.
  • Automating time-consuming and routine tasks with machine learning allows workers to focus on more difficult and innovative areas of their jobs. As a result, productivity and operational efficiency increase.
  • Machine learning can forecast equipment failures and maintenance requirements in sectors like manufacturing and transportation, cutting downtime and increasing operational effectiveness.
  • To improve marketing campaigns and increase conversion rates and return on investment (ROI), machine learning can be used to analyze consumer behavior and preferences.
  • Chatbots that are driven by machine learning may handle consumer requests, automate service, and accelerate response times.
  • Companies with effective machine learning integration get a competitive edge by anticipating market trends and providing superior goods and services.
  • Systems for cross-selling and upselling that are powered by machine learning can increase profits and client happiness.

Tools Used For Machine Learning

ML projects utilize various tools and frameworks, including popular ones at different phases of the workflow.

  • Python's rich libraries and frameworks, including NumPy, pandas, scikit-learn, TensorFlow, and PyTorch, make it a popular programming language for machine learning.
  • Another popular language for machine learning is R, especially for statistical studies and data visualization. Many packages, like caret, dplyr, ggplot2, and randomForest.
  • Apache Spark handles ML and large-scale data processing workloads using MLlib, a scalable ML library for algorithms and tasks.
  • Tableau, a strong data visualization tool. It helps to develop visually appealing as well as interactive talks of ML results and insights.
  • KNIME provides a graphical interface for creating ML processes, enabling integration with various tools and platforms and supporting diverse algorithms.
  • An ML platform called provides a simple interface for creating ML models. It offers automatic machine learning skills and supports several ML methods.
  • Azure Machine Learning is a platform in the cloud for developing, implementing, and maintaining machine learning models, offering collaborative tools and automatic learning.
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Key Features

ACTE Chennai offers Machine Learning 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.


Syllabus of Machine Learning Training in Chennai
Module 1: Introduction to Machine Learning
  • Overview of Machine Learning
  • Types of Machine Learning algorithms
  • Applications of Machine Learning in various domains
  • Introduction to Python and popular ML libraries
  • NumPy, Pandas, and scikit-learn
Module 2: Data Preprocessing and Exploration
  • Data cleaning and handling missing values
  • Data transformation techniques (scaling, normalization)
  • Feature selection and engineering
  • Exploratory Data Analysis (EDA) using visualizations
Module 3: Supervised Learning Algorithms
  • Linear Regression
  • Logistic Regression
  • Decision Trees and Random Forests
  • Support Vector Machines (SVM)
  • Naive Bayes Classifier
Module 4: Unsupervised Learning Algorithms
  • K-Means Clustering
  • Hierarchical Clustering
  • Principal Component Analysis (PCA)
  • Association Rule Learning (Apriori algorithm)
  • Anomaly detection
Module 5: Model Evaluation and Validation
  • Training and testing datasets
  • Cross-validation techniques
  • Evaluation metrics (accuracy, precision, recall, F1-score)
  • Confusion matrix and ROC curves
  • Bias-Variance tradeoff
Module 6: Ensemble Methods and Model Selection
  • Bagging and Random Forests
  • Boosting and AdaBoost
  • Stacking and Blending
  • Hyperparameter tuning
  • Model selection techniques
Module 7: Deep Learning Fundamentals
  • Introduction to Neural Networks
  • Activation functions
  • Backpropagation and Gradient Descent
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
Module 8: Deep Learning Applications
  • Image Classification
  • Object Detection and Localization
  • Natural Language Processing (NLP)
  • Sequence-to-Sequence Models
  • Generative Adversarial Networks (GANs)
Module 9: Reinforcement Learning
  • Markov Decision Processes (MDPs)
  • Q-Learning and Value Iteration
  • Policy Gradient Methods
  • Deep Q-Networks (DQN)
  • Applications of Reinforcement Learning
Module 10: Advanced Topics in Machine Learning
  • Transfer Learning
  • Explainable AI and Interpretability
  • Time Series Analysis
  • Autoencoders and Variational Autoencoders
  • Model Deployment and serving with cloud platforms
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Need customized curriculum?

Hands-on Real Time Machine Learning Projects

Project 1
Fraud Detection Project

Build a machine learning model to detect fraudulent transactions in credit card data.

Project 2
Voice Recognition System Project

Develop a speech recognition system that converts spoken words into text.

Improve Your Career Path With Our Machine Learning Jobs

Our placement cell team offers Machine Learning jobs for students in tech sector through practical experience and industry partnerships.

  • ACTE offers mock interviews and preparation classes for Machine Learning students, focusing on problem-solving, technical questions, and communication skills.
  • A dedicated placement cell at ACTE works hard to match students with appropriate Machine Learning job opportunities in the machine learning industry.
  • We work alongside industry partners and uphold a network of nonprofit organizations to enable educational possibilities for our students.
  • ACTE aims to establish connections with businesses and industry experts in the Machine Learning industry, inviting guest lecturers and recruiters.
  • ACTE can help organize internship programs or advise students on how to find internships with businesses that are engaged in machine learning initiatives.
  • ACTE assists students in creating professional, machine learning-focused resumes, emphasizing relevant talents, initiatives, and accomplishments to make them stand out.

Obtain Our Inventive Machine Learning Certification

You may get the skills businesses demand by enrolling in one of ACTE's industry-recognized Machine Learning Courses. Gaining practical experience with Machine Learning software and its features provides you with a competitive edge in the job market. The importance of the certificate you earn comes from the fact that it distinguishes you from other applicants and attests to your practical experience working on real-world projects. ACTE is a great alternative for students who want to thrive in the field of machine learning because it provides flexible study options and placement support. Enrol right now in a Machine Learning Certificate Programme in chennai to get started in the Machine Learning industries.

  • Skill Validation
  • Competitive Advantage
  • Industry Appreciation
  • Added Employment Possibilities
  • Career Development.

Yes, beginners who are curious about the subject may find a Machine Learning course useful. Many Machine Learning courses are created to give students with little to no prior knowledge in the area a strong foundation and an introduction to important concepts and techniques.

Yes, earning a CCNA certification will greatly increase your prospects of finding employment in the networking and IT industries. You become a more compelling candidate for networking-related professions since it indicates your familiarity with and proficiency with fundamental networking concepts.

  • Introduction to Machine Learning
  • Natural Language Processing (NLP)
  • Deep Learning
  • Supervised Learning
  • Unsupervised Learning
  • Machine Learning with Python

You can definitely gain numerous machine learning certifications. As a vast and quickly developing field with many specific areas and technologies, machine learning has a wide range of certification programs that address its many facets.

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Enhance your Career With Our Machine Learning Expert

  • From fundamental concepts to cutting-edge techniques, our machine learning expert offer thorough education on machine learning.
  • Projects, case studies, and exercises are used by ACTE's professional experts to give students hands-on training in machine learning training.
  • We choose to offer machine learning training in chennai because all of our experts are focused on assisting their students in excelling in both their professional and academic endeavours.
  • Our experts are skilled at explaining complex Machine learning concepts so that students may grasp them.
  • Our machine learning experts have all held positions with businesses like Dell, Infosys, IBM, TCS, and Technologies.
  • Our knowledgeable experts create a friendly learning environment where you are free to express any doubts and talk about any problems you might be experiencing.

Machine Learning 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
    • Gives
    • 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 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 Course At ACTE?

  • Machine Learning Course in ACTE is designed & conducted by Machine Learning experts with 10+ years of experience in the Machine Learning 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 batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Machine Learning. 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's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India

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