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    About Course

    We offer the Best Machine Learning Course, meticulously designed to equip you with profound insights into this transformative technology. The course is designed to be comprehensive and hands-on Projects. You will learn about data mining, Machine Learning Algorithms, statistical analysis, data visualization, and programming languages. Upon completion of the Machine Learning Training, you will be able to collect, clean, and analyze data, Build and train Machine Learning models, Apply statistical methods to data, and Visualize data in a clear and informative way. Upon successful completion, you'll be awarded a valuable Machine Learning Certification, recognized across industries. Dive into the world of Machine Learning with us and unlock the potential to become a skilled practitioner in this rapidly advancing field.

    Benefits Of Machine Learning Course

    Begin a Valuable journey with our Best Machine Learning Course that offers a comprehensive Machine Learning Training experience, supplemented by a dedicated focus on utilizing Python. By enrolling in our Machine Learning with Python Course, you'll gain a strong skill set that suits today's world. Discover the vast potential of Machine Learning, understand its details, and learn to use Python for data analysis and creating predictive models. This Machine Learning Training gives you the power to make the most of data-driven insights, opening up various opportunities in our data-focused world. There are many benefits of taking Our Machine Learning Course. Here are just a few-

  • You will learn the fundamentals of Machine Learning, which is a rapidly growing field with many potential applications.
  • You will gain hands-on experience with Machine learning tools and techniques.
  • You will have the opportunity to connect 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

    This Machine Learning Training is designed for beginners with no prior experience in Machine Learning. By the end of this course, you will have the foundation you need to take your next step in machine learning. In this Machine Learning Course, you will learn the basics of Machine Learning, including

  • 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

    Project Deliverables


    House Price Estimation


    Movie Genre Prediction


    Weather Forecasting


    Sales Forecasting Analysis


    Student Exam Performance Prediction


    Food Review Sentiment Analysis

    who can apply

    Who Can Apply?

    Professionals who aspire to be a Data Scientist in top organizations

    Data Scientists who have a keen interest in upgrading their skills

    Information Architects

    Working professionals who wants to switch profession

    Business Intelligence professionals

    Software Developers

    job roles

    Job Roles


    Machine Learning Engineer

    After completing the Best Machine Learning Course from Brillica services,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, 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.


    Business Intelligence Analyst

    Transform data into actionable insights for organizations, enabling them to make informed decisions and optimize their operations. Completing The Best Machine Learning Course from Brillica Services,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.

    our faculties

    Data Science Instructor

    Vikas Singh

    Data Science Instructor

    An Industry-Experienced Data Science and Data Analytics Expert, possessing comprehensive familiarity with all Data Science tools and technologies. With a proven track record of successfully mentoring over 1500+ candidates in various Data Science and Data Analytics tools.

    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.


    Kalpana Chhetri

    Kalpana Chhetri


    I have done CCNA and cyber security training. I had such a wonderful experience with Brillica services. The best part during my training was that my mentor and trainers also focused to trained me on practical....

    Raghav Gupta

    Raghav Gupta


    Completed my web development course today and I am happy to say that I enjoyed learning here, the learning environment was great i got the best full stack web development course and I am glad that I have found....

    Bharat Ram Meditation Music

    Bharat Ram Meditation Music


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

    Sahil Sharma

    Sahil Sharma


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

    Saurabh Bhandari

    Saurabh Bhandari


    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


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

    Shagun Saxena

    Shagun Saxena


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

    Akash Malik

    Akash Malik


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



    After successfully finishing your Machine Learning Course, you'll receive a deserved certificate acknowledging your achievement. This certificate not only represents your accomplishment but also stands as evidence of your commitment and proficiency in the realm of Machine Learning.

    Frequently Asked Questions

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

    Enrolling in a machine learning course holds profound significance in today's technological landscape. Machine learning, a subset of artificial intelligence, is transforming industries across the board, from healthcare to finance to entertainment. By undertaking such a course, individuals gain the knowledge and skills necessary to harness the power of algorithms and data, enabling them to analyze, predict, and automate processes.

    2. What is a Machine Learning course?

    A Machine Learning course is a structured educational program designed to equip students and professionals with the knowledge and skills necessary to understand, implement, and advance in the field of machine learning. Machine learning is a subset of artificial intelligence that focuses on the development of algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. In a Machine Learning course, participants typically learn about various machine learning concepts, techniques, and tools, including supervised and unsupervised learning, deep learning, data preprocessing, and model evaluation.

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

    Machine learning training is widely accessible through both online and offline avenues. Online platforms offer the convenience of self-paced courses, webinars, and tutorials, making it easier for individuals to learn from anywhere with an internet connection. In contrast, offline options include traditional academic institutions, training centers, and workshops held in physical locations. These offline resources can offer a more structured learning environment with the benefit of in-person interaction and hands-on experience. Whether you choose the flexibility of online courses or the structured approach of in-person classes, machine learning training is readily available to accommodate diverse learning preferences and needs.

    4. What benefits does a Machine Learning certification offer?

    A Machine Learning certification offers a myriad of benefits to individuals looking to establish themselves in the field of artificial intelligence and data science. Firstly, it provides a formal recognition of expertise and skills, enhancing one's credibility and employability in a highly competitive job market. Such a certification demonstrates a commitment to continuous learning and staying current with industry trends. Moreover, it equips professionals with a solid foundation in machine learning techniques, enabling them to tackle real-world problems, make data-driven decisions, and develop innovative solutions.

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

    Certainly! You can absolutely take a Machine Learning online course instead of attending in-person classes. In recent years, online learning has gained immense popularity, offering flexibility and accessibility to a wide range of learners. Online Machine Learning courses often provide high-quality instruction, interactive content, and the opportunity to work at your own pace.

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

    After completing a Machine Learning course, you can expect to open doors to a wide array of exciting job roles in the ever-evolving field of artificial intelligence and data science. These roles can include positions such as Machine Learning Engineer, Data Scientist, Data Analyst, Artificial Intelligence Researcher, and Computer Vision Engineer. You might also explore opportunities as a Natural Language Processing Engineer, Deep Learning Specialist, or even a Robotics Engineer. Additionally, industries like finance, healthcare, e-commerce, and autonomous vehicles increasingly rely on machine learning, offering diverse prospects for professionals with this skill set

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

    A Machine Learning online course equips you with the essential skills and knowledge required to meet the demands of the ever-evolving tech industry. These courses typically cover a wide range of topics, including data analysis, statistical modeling, programming, and deep learning. They provide hands-on experience with real-world datasets and practical projects, allowing you to apply your newly acquired skills in a meaningful context. Moreover, online courses often offer the flexibility to learn at your own pace, making it easier to balance your studies with other commitments. In addition, the learning materials are frequently curated by industry experts and updated regularly to keep up with the latest trends and technologies.

    Best Machine Learning Course | Machine Learning certification

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