Machine Learning Course In Delhi

Our In-depth Machine Learning training course is designed to provide you with the skills and knowledge you need to excel in this exciting field. Whether you're a beginner or have some experience, our course covers everything from the fundamentals to advanced concepts. We offer the best Machine Learning course in Delhi, ensuring you receive a top-notch education and hands-on experience. Enroll now in our Machine Learning training program and embark on a journey towards becoming an expert in the field. Discover the power of Machine Learning with us!

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About Course

Brillica Services offers the Best Machine Learning Course in Delhi. This comprehensive training course will help you take a deep dive into machine learning basics and understand how Python programming language integrates into the core. The Machine Learning training is focused on delivering best-in-class learning on statistical modeling, regression, and clustering algorithms. You will also have an in-depth understanding of the interoperability between Python and machine learning and the magical applications it can create. Our certified and experienced instructors will work with you to build a solid foundation for developing algorithms, creating functions, exception handling, data analysis, and more. We offer flexible training delivery modes to suit your individual needs, so you can find the best fit for your career and training goals. Enroll in our Machine Learning with Python course today and take your first step toward a career in this exciting field.

Benefits of Machine Learning Course in Delhi

Joining the Best Machine Learning Course in Delhi offers a comprehensive learning experience that merges seamlessly with our Machine Learning Course. Beyond acquiring a valuable Machine Learning certification, this dual-course approach empowers you to grasp the intricate concepts of machine learning while harnessing the potential of Python. By delving into statistical modeling, regression, and clustering algorithms, you'll cultivate a skill set that's not only theoretical but also highly practical, as demonstrated through hands-on projects. This Machine Learning with Python Course in Delhi learning journey ensures you gain a robust understanding of Machine Learning and Python, positioning you for success in a rapidly evolving technological landscape.
There are many benefits to taking a machine learning course in Delhi. Here are just a few-

You will learn the fundamentals of machine learning, which is a rapidly growing field with many potential applications.

ou will gain hands-on experience with machine learning tools and techniques.

You will have the opportunity to network with other machine-learning enthusiasts and professionals.

You may be eligible for a machine learning certification, which can boost your resume and make you more competitive for jobs.

You can take the course in a classroom setting or online, depending on your preference.

Course Curriculum

1. Introduction To Machine Learning

Differences Between Traditional Programming and Machine Learning

Differences Between Supervised and Unsupervised Learning

Randomness in Machine Learning

Random Number Generation

Machine Learning Outcomes

Collecting and Refining the Dataset

Machine Learning Datasets

Structure of Data

Terms Describing Portions of Data

Data Quality Issues

Data Sources

Open Datasets

Examining the Structure of a Machine Learning Dataset

Extract, Transform, and Load (ETL)

Loading the Dataset

2. Use Visualizations To Analyse Data

Visualizations - Histogram

Box Plot

Scatterplot

Heat Maps

Guidelines for Using Visualizations to Analyse Data

Analysing a Dataset Using Visualizations

3. Building Linear Regression Model

Linear Regression

Linear Equation

Linear Equation Data Example

Straight Line Fit to Example Data

Linear Regression in Machine Learning

Linear Regression in Machine Learning Example

Matrices in Linear Regression

Linear Model with Multiple Parameters

Cost Function

Mean Squared Error (MSE)

Mean Absolute Error (MAE)

Coefficient of Determinatio

4. Build A Regularized Regression Model

Regularization Techniques

Overfitting and Underfitting Recurrent Neural Network

Ridge Regression

Lasso Regression

Guidelines for Building a Regularized Linear Regression Model

Building a Regularized Linear Regression Model

5. Build An Iterative Linear Regression Model

Gradient Descent

Global Minimum vs. Local Minima

Learning Rate

Gradient Descent Techniques

Building an Iterative Linear Regression Model

6. Building Classification Models

Building Classification Models

Train Binary Classification Models

Linear Regression Shortcomings

Logistic Regression

Decision Boundary

Cost Function for Logistic Regression

A Simpler Alternative for Classification

K-Nearest Neighbour (k-NN)

Guidelines for Training Binary Classification Model

7. Train Multi-Class Classification Models

Multi-Class Classification

Multinomial Logistic Regression

Guidelines for Training Multi-Class Classification Models

Training a Multi-Class Classification Model

8. Evaluate Classification Models

Model Performance

Confusion Matrix

Classifier Performance Measurement

Accuracy

Precision

Recall

Precision—Recall Trade-off

F1 Score

Guidelines for Evaluating Classification Models

Evaluating a Classification Model

9. Tune Classification Models

Hyperparameter Optimization

Grid Search

Randomized Search

Guidelines for Tuning Classification Models

Tuning a Classification Model

10. Building Clustering Models

Build K Means Clustering Models

K Means Clustering

K Determination

Elbow Point

Cluster Sum of Squares

Guidelines for Building a K Means Clustering Model

11. Build Hierarchical Clustering Models

K Means Clustering Shortcomings

Hierarchical Clustering

Hierarchical Clustering Applied to a Spiral Dataset

Dendrogram

Building a Hierarchical Clustering Model

12. Build Decision Tree Models

Decision Tree

Classification and Regression Tree (CART)

Gini Index/Entropy

CART Hyperparameters

One Hot Encoding

Decision Tree Algorithm Comparison

Decision Trees Compared to Other Algorithms

Guidelines for Building a Decision Tree Model

Building a Decision Tree Model

13. Build Random Forest Models

Ensemble Learning

Random Forest

Random Forest Hyperparameters

Feature Selection Benefits

Guidelines for Building a Random Forest Model

Building a Random Forest Model

Course Highlights

project based training course

Certified & Industry Experienced Trainers

Beginner To Expert-Level Training

Best-In-Class Training Curriculum

Online & Offline Training Modes

Python

pandas

NumPy

Scikit learn

SQL

TenserFlow

SciPy

OpenCv

git

Tools to be covered

Who Can Apply?

Individuals pursuing undergraduate or graduate degrees in computer science, engineering, mathematics, physics, or related fields.

who want to enhance their skills in machine learning and artificial intelligence.

Those already in the workforce, such as software developers, data analysts, engineers, or researchers

A strong interest in the subject and a willingness to learn.

Individuals with a background in programming and mathematics, including students, professionals, and enthusiasts interested in AI

Job Roles

Machine Learning Engineer

After completing Machine Learning Course one option is Machine Learning Engineer. The role of a Machine Learning Engineer is to Design and develop machine learning models and algorithms to solve complex business problems, working on tasks like data preprocessing, feature engineering, model training, and deployment.

Data Scientist

Analyze and interpret large datasets to extract valuable insights, using statistical methods and machine learning techniques to provide data-driven solutions for decision-making. Data Scientist is another Best Option after completing Machine Learning training.

AI Research Scientist

As for completing Machine Learning Course in Delhi, one more option is AI Research Scientist.AI Research Scientist Engage in cutting-edge research to advance the field of artificial intelligence, exploring new algorithms, models, and techniques that push the boundaries of machine learning.

Data Analyst

Collect, clean, and analyze data to uncover trends, patterns, and insights that drive business strategies and informed decision-making. Data Analyst is another Best Option after completing Machine Learning training in Delhi.

Business Intelligence Analyst

Transform data into actionable insights for organizations, enabling them to make informed decisions and optimize their operations. Completing Machine Learning Course opens the door for Business Intelligence Analyst.

Data Engineer

Build and manage data pipelines, integrating and transforming data from various sources to make it accessible and usable for analysis and modeling.

Career Services

profile building

We help in Creating & growing your professional profile that will make you stand out in the professional world.

interview preparation

We conduct multiple mock interview sessions with various tips & tricks that will make you habitual & confident in an interview environment.

job placement

Our dedicated team continuously works on finding & providing multiple opportunities for the students and provides 100% placement assistance.

Testimonials

Certification

Machine learning course in Delhi, helps you to get ready for the most desirable career domain. We provide courses in multiple domains that specifically focus on IT, the Technology field is growing very fast, and right now there are ample opportunities for everyone, the positive aspect is that if you do not have the IT background but you have the skills required according to the industries then there is no stopping you, make your career future proof and get upgraded according to the need of time.

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Machine Learning Course in Dehradun

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Frequently Asked Questions

1. What is the significance of enrolling in a Machine Learning Course in Delhi?

Enrolling in a Machine Learning Course in Delhi provides you with the opportunity to acquire cutting-edge skills in the field of machine learning, positioning you for lucrative job roles in the tech industry.

2. What is a machine learning course?

A machine learning course is a training program that teaches students the fundamentals of machine learning. This includes topics such as supervised learning, unsupervised learning, and reinforcement learning. Students will also learn how to use popular machine-learning algorithms, such as linear regression, logistic regression, and decision trees.

3. Is Machine Learning training in Delhi available both online and offline?

Yes, you can find Machine learning online course as well as offline formats, allowing you to choose the mode of learning that suits your schedule and preferences.

4. What benefits does a Machine Learning certification offer?

A Machine Learning certification validates your expertise in the field and enhances your credibility with potential employers. It demonstrates your proficiency in applying machine learning techniques to real-world scenarios.

5. Can I take a Machine Learning online course instead of attending in-person classes?

Absolutely, you can opt for a Machine Learning online course that offers flexibility in terms of learning from any location and at your own pace. Online courses often provide interactive content and practical exercises.

6. What kind of job roles can I expect after completing Machine Learning Course in Delhi?

Upon completing a Machine Learning Course in Delhi, you can explore job roles such as Machine Learning Engineer, Data Scientist, AI Research Scientist, Data Analyst, and more in various industries.

7. How does a Machine Learning course prepare me for industry demands?

Our well-structured best Machine Learning Course in Delhi equips you with the foundational knowledge, hands-on experience, and practical skills required to tackle real-world challenges in the ever-evolving tech industry.

Best Machine Learning Course In Delhi | Brillica Services

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Machine Learning Course In Delhi

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About Course

Benefits of Machine Learning Course in Delhi

Course Curriculum

Course Highlights

Tools to be covered

Who Can Apply?

Job Roles