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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

    who can apply

    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

    Job Roles

    1

    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.

    2

    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.

    3

    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.

    4

    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.

    5

    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.

    6

    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 profile building

    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.

    interview preparation interview preparation
    job placement job placement

    job placement

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

    Testimonials

    testimonial
    Bharat Ram Meditation Music

    Bharat Ram Meditation Music

    5

    I did python machine learning from Brillica services they taught me everything from scratch . Best training ....

    Satyabrata Sahoo

    Satyabrata Sahoo

    4

    I completed my machine learning course and gained a lot of knowledge from the academy. Learning from such a professional gave me a great learning experience. Thank you Brillica Services. ....

    Sahil Sharma

    Sahil Sharma

    5

    Staff is really experienced and well trained. Good company for studying data science,python,AI,Machine learning etc.. ....

    Mayank Bisht

    Mayank Bisht

    5

    If you want to do your training in machine learning in Dehradun ,then this is the only place which you can watch for .Trainers have good practical knowledge .They are more focused in providing practical knowle....

    Saurabh Bhandari

    Saurabh Bhandari

    4

    Completed my Machine Learning course with Brillica.And from my experience Brillica is one of the best institutes for training in machine learning and data science in Dehradun region with very supportive instru....

    Abhinav Kaushik

    Abhinav Kaushik

    4

    I went to study Machine Learning and truly it was an awesome experience, i opted for the weekend classes....

    Shagun Saxena

    Shagun Saxena

    5

    I went to study Machine Learning and truly it was an awesome experience, i opted for the weekend classes....

    Akash Malik

    Akash Malik

    5

    Best place to learn Machine Learning...Mentor(Gurjas Sir) is amazing....

    certificate

    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.

    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

    2nd & 3rd Floor, Brillica Services, Shimla Bypass Rd, opp. Bank of India, PNB Vihar, Majra, Shewala Kala, Dehradun, Uttarakhand 248001