MACHINE LEARNING COURSE TRAINING IN CHENNAI

COURSE DETAILS

DLK Career Development Centre offers a way for the students to work with live application by offering a Training Courses. We will be encouraging the students to work with Real Time projects.

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ABOUT MACHINE LEARNING COURSE TRAINING IN CHENNAI

DLK Career Development is one of Chennai’s leading tech training institutes, known for transforming beginners into professionals. Our Machine Learning training course is crafted for students, job seekers, and engineers who want to specialize in building predictive models and intelligent applications. The course starts with foundational concepts in data science and progresses to advanced algorithms and deployment.

Through practical sessions, students will learn to handle real-world datasets, apply supervised and unsupervised learning techniques, and implement models like linear regression, decision trees, support vector machines (SVM), and k-means clustering. We also introduce deep learning basics, giving learners a solid pathway toward AI and neural networks.

DLK also supports career development alongside technical skills. Resume-building workshops, internship opportunities, mock interviews, and project reviews are included in the training. Our aim is to equip every learner not only with knowledge but also with the tools to enter the job market confidently and contribute to data-driven industries.

All Courses

Java Training

Practical Sessions

.Net Training

Practical Sessions

PHP Training

Practical Sessions

Web Design Training

Practical Sessions

Web Development Training

Practical Sessions

Digital Marketing Training

Practical Sessions

Oracle Training

Practical Sessions

Embedded Training

Practical Sessions

VLSI Training

Practical Sessions

MatLab Training

Practical Sessions

Big Data Training

Practical Sessions

Cloud Sim Training

Practical Sessions

Arduino Training

Practical Sessions

Robotics Training

Practical Sessions

Key Features

Training By Certified And Experienced Real Time Developer

Our Trainer Conduct Classes according to Current Market Scenario and shape your Career.

Working On Live Project

100% hands-on training with real-time datasets and practical model-building

Interview Preparation Classes

Resume writing, interview preparation, and personal mentorship for career support

100% Job Assistance On Every Course

Internship opportunities with project certification and placement guidance

Future Guidance

In-depth learning of supervised, unsupervised, and ensemble learning techniques

Smart Class Rooms

We provide wifi enabled class rooms.

ADVANCE MACHINE LEARNING COURSE AT DLK

DLK Career Development  offers a variety of Machine Learning training programs tailored for different levels. Beginners can join our Machine Learning with Python course, while those with some experience can opt for Advanced Machine Learning with Projects & Deployment. We also offer specialization tracks such as Machine Learning for Finance, Marketing, or Healthcare Analytics. Our training covers essential tools and libraries like NumPy, Pandas, Matplotlib, Scikit-learn, and Seaborn. Students will work on practical tasks including data cleaning, model evaluation, hyperparameter tuning, and confusion matrix analysis. The curriculum includes real-time projects like stock price prediction, recommendation systems, and fraud detection using historical data. We offer flexible schedules including weekday, weekend, and fast-track batches in both online and offline modes. Every student gets access to recorded videos, real-world datasets, guided assignments, and GitHub project support. Our programs are suitable for final-year academic projects, skill enhancement, and job preparation in ML-related roles

Our Curriculam

Section 1: Introduction to ML

Artificial Intelligence (AI) is the broader concept of machines mimicking human intelligence to perform tasks like learning, reasoning, and problem-solving.
Machine Learning (ML) is a subset of AI that focuses on systems learning from data and improving performance without being explicitly programmed.
While AI aims to simulate human thinking, ML uses algorithms to detect patterns and make decisions.
In short, all ML is AI, but not all AI is ML.

Machine Learning (ML) is mainly divided into three types:

  1. Supervised Learning – uses labeled data to train models (e.g., classification, regression).

  2. Unsupervised Learning – finds patterns in unlabeled data (e.g., clustering, dimensionality reduction).

  3. Reinforcement Learning – learns through trial and error using rewards and penalties.

Popular ML tools include Scikit-learn, TensorFlow, Keras, and PyTorch, which support model building, training, and deployment.

Machine Learning solves real-world problems by learning patterns from data and making predictions or decisions. For example, it can detect fraud in banking, recommend products in e-commerce, or diagnose diseases in healthcare. ML models improve over time as they process more data, making them highly effective for automation and optimization. This data-driven approach enables smarter, faster, and more accurate solutions across industries.

Section 2: Data Preprocessing
Section 3: Algorithms & Modeling
Section 4: Evaluation & Tuning
Section 5: Capstone Projects

Course Reviews

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Overall Ratings

5/5
4.5

I came here to learn web design. Before coming here I have no idea about that. But after 7 day session I gained little knowledge about that and I got some ideas about web designing.

Ramamoorthy

4.5

Firstly i would like to thank the faculty members for training me on SEO. I had a very good experience in vlsa global service. faculty members are fully trained and shared their complete knowledge on SEO. All my doubts are cleared immediately Without any hesitation. Once again thanks to DLK Career Development Center.

Muruganadha Prasad

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