Machine Learning Course Features


Machine Learning Course Fee in PANAJI

Live Virtual

Instructor Led Live Online


  • IABAC®  Global Certification
  • 5-Month | 350 Learning Hours
  • 100-Hour Live Online Training
  • 20 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship +Job Assistance

Blended Learning

Self Learning + Live Mentoring


  • Self Learning + Live Mentoring
  • IABAC®  Global Certification
  • 1 Year Access To Elearning
  • 20 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support


In - Person Classroom Training


  • IABAC®  Global Certification
  • 5-Month | 350 Learning Hours
  • 48-Hour Classroom Sessions
  • 20 Capstone & 1 Client Project
  • Cloud Lab Access
  • Internship +Job Assistance


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The entire training includes real-world projects and highly valuable case studies.

IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

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The following topics are covered in "Machine Learning"


Machine Learning Introduction: Supervised and Unsupervised Learning

  • Linear Regression Theory
  • Linear Regression Programming with R
  • Working on Case Study

Multiple Linear Regression

  • Theory behind multiple linear regression
  • Multiple Linear Regression with R
  • Working on Case Study

Decision Tree:

  • Theory Behind Decision Tree
  • Decision Tree with R
  • Working on Case Study

Naive Bayes:

  • Theory behind Naïve Bayes classifiers
  • Naive Bayes Classifiers with R
  • Working on Case Study

Support Vector Machines:

  • Theory behind Support Vector Machines
  • Support vector machines with R
  • Improving the performance with Kernals
  • Working on Case Study

Association Rule:

  • Theory behind Association Rule
  • Working on Case Studies


Neural Net:

  • Artificial Neural Network
  • Connection Weights in Neural Network
  • Generating Neural Network with R
  • Improving Neural Network Accuracy with Hidden Layers
  • Working on Case

Random Forest:

  • Theory behind Random Forest
  • Random Forest with R
  • Improving performance of Random Forest
  • Working on Case Study

Recommendation Engine:

  • Theory behind Recommendation Engines
  • Working on Case Study with R

Dimension Reduction:

  • Theory behind Recommendation Engine
  • Working on Case Studies
  • Popular Machine Learning Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised Learning
  • Choice of Machine Learning
  • Simple and Multiple Linear Regression
  • KNN etc...
  • Theory of Linear Regression
  • Hands on with use Cases
  • Naïve Bayes for text classification
  • New Articles Tagging
  • K-means Clustering
  • Tuning with Hyper Parameters
  • Popular ML Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised
  • Choice of ML Algorithm
  • Ensemble Theory
  • Random Forest Tuning
  • Simple and Multiple Linear regression
  • KNN
  • Text Processing with Vectorization
  • Sentiment analysis with TextBlob
  • Twitter sentiment analysis.
  • Basic ANN network for regression and classification
  • Tensorflow work flow demo and intro to deep learning




The Machine Learning course in Panaji provides comprehensive learning designed to provide hands-on experience and practical knowledge, enabling the students to excel in the field. According to a  Globe News Wire report, the Machine Learning as a Service market witnessed significant growth, with a market size of USD 7.1 Billion in 2022. It is projected to expand at a robust CAGR of 37.9% from 2023 to 2032, reaching a market size of USD 173.5 Billion by the end of the forecast period.

DataMites is a renowned global institute that is widely recognized for its high-quality Machine Learning Training in Panaji. This comprehensive course focuses on essential subjects like Python/R programming, machine learning algorithms, and the practical implementation of machine learning models. A notable highlight of this program is its accreditation by IABAC, ensuring that students receive an internationally recognized IABAC Certification upon successful completion of the course. The training program has a duration of 5 months, providing students with a total of 400 hours dedicated to learning, which includes 100 hours of interactive online training. DataMites also offers the flexibility of on-demand offline machine learning training in Panaji, allowing students to fully immerse themselves in a comprehensive learning experience. To further enrich their practical skills, students are granted unlimited access to the data science cloud lab and are given the opportunity to work on more than 5 live projects.

DataMites offers specialized courses such as:

  1. Machine Learning Expert Training
  2. Machine Learning Foundation Training 
  3. Machine Learning- Tensor Flow 
  4. Machine Learning with Python Training 
  5. Machine Learning with R Training

DataMites provides an all-encompassing set of key features for its Machine Learning Training in Panaji, which include:

  1. Faculty and Ashok Veda as Lead Mentor
  2. Course Curriculum
  3. Global Certification
  4. Hardcopy Learning materials and books
  5. Resume Preparation
  6. DataMites Exclusive Learning Community
  7. Live client project
  8. Internship Opportunity
  9. Placement assistance and Job references
  10. Flexible Learning
  11. Affordable pricing and Scholarships.

Panaji, the capital of Goa, is a vibrant coastal city known for its picturesque landscapes, Portuguese colonial architecture, and rich cultural heritage, making it a popular destination for tourists. Panaji offers a promising career scope in machine learning, with various industries such as healthcare, finance, and technology actively embracing this field. By acquiring a machine learning certification in Panaji, you can tap into the growing demand for data-driven insights and secure rewarding career opportunities in Panaji's dynamic job market. DataMites provides comprehensive online training in Machine Learning in Panaji, featuring a well-structured syllabus, study materials, job training, and mock tests. Their aim is to deliver a rewarding learning journey for individuals aspiring to excel in the field of Machine Learning. The salary of a machine learning engineer in India ranges from INR 8,57,029 per year according to an Indeed report. Join DataMites for more information regarding the Machine Learning Training Course in Panaji.

Along with machine learning courses, DataMites also provides python, deep learning, artificial intelligence training, IoT, data analyst, data engineer, mlops, tableau, data analytics, data mining, python for data science and data science courses in Panaji.


Machine learning is a branch of artificial intelligence that involves developing algorithms and models that enable computers to learn from and make predictions or decisions based on data, without being explicitly programmed.

Essential skills for machine learning include a strong foundation in mathematics and statistics, proficiency in programming languages like Python or R, knowledge of data manipulation and visualization, an understanding of algorithms and data structures, and critical thinking and problem-solving abilities.

Some frequently used tools in machine learning are TensorFlow, PyTorch, scikit-learn, Keras, Apache Spark, Jupyter Notebook, and RStudio.

There is no definitive number, but the field of machine learning encompasses numerous distinct models, including linear regression, decision trees, random forests, support vector machines, neural networks, and more.

A Machine Learning expert course typically includes topics such as mathematics for machine learning, statistics, programming languages, data preprocessing, feature engineering, model selection and evaluation, and practical implementation of machine learning algorithms.

Some job positions related to Machine Learning include Machine Learning Engineer, Machine Learning Scientist, Data Analyst, AI Researcher, and Predictive Modeler.

The cost of machine learning training in India typically ranges between INR 70,000 and 1,00,000.

Yes, there is a strong demand for professionals skilled in Machine Learning. The increasing adoption of artificial intelligence and data-driven decision-making across various industries has created a significant demand for experts who can develop and deploy machine learning models.

The three primary types of machine learning are supervised learning, unsupervised learning, and reinforcement learning.

Machine learning is commonly applied in areas such as healthcare (diagnosis, drug discovery), finance (fraud detection, algorithmic trading), marketing (customer segmentation, recommendation systems), computer vision, natural language processing, and many more.

Yes, machine learning involves a significant amount of mathematics, including linear algebra, calculus, probability theory, and optimization algorithms. Understanding these mathematical concepts is crucial for building and understanding machine learning models.

Yes, it is possible for a fresher to secure a job in machine learning, but having a strong foundation in relevant skills, such as mathematics, programming, and understanding of machine learning concepts, is essential. Practical experience through projects and internships can also improve job prospects.

Python is considered one of the best programming languages for machine learning due to its simplicity, versatility, and rich ecosystem of libraries and frameworks specifically designed for machine learning, such as TensorFlow, PyTorch, and scikit-learn.

Some algorithms used in machine learning include linear regression, logistic regression, decision trees, random forests, support vector machines, k-nearest neighbours, k-means clustering, and deep learning algorithms like convolutional neural networks (CNN) and recurrent neural networks (RNN).

Some of the most popular machine learning algorithms are linear regression, logistic regression, decision trees, random forests, support vector machines, k-nearest neighbours (KNN), and deep learning algorithms like convolutional neural networks (CNN) and recurrent neural networks (RNN).

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DataMites Institute in Panaji offers advantages such as experienced trainers, a comprehensive course curriculum, hands-on projects, and industry-relevant training to provide a strong foundation in machine learning.

Individuals should consider the Machine Learning Training offered by DataMites in Panaji for its practical approach, personalized attention, and industry connections, ensuring a holistic learning experience for a successful career in machine learning.

The training program has a duration of 5 months, providing students with a total of 400 hours dedicated to learning, which includes 100 hours of interactive online training.

The machine learning training fee in Panaji is dependent on the learning mode selected. The options include INR 60,000 for Live virtual training, INR 36,000 for blended mode learning, and INR 60,000 for on-demand classroom training.

DataMites provides a variety of machine learning courses in Panaji, including Machine Learning Expert Training, Machine Learning Foundation Training, Machine Learning with TensorFlow, Machine Learning with Python Training, and Machine Learning with R Training.

The Machine Learning Expert Course offered by DataMites in Panaji is open to individuals who have a background in computer science, mathematics, statistics, or related fields, making them eligible for enrollment.

DataMites adopts a comprehensive learning approach that incorporates theoretical knowledge, practical hands-on practice, case studies, project implementation, and model deployment, ensuring a holistic learning experience for students.

DataMites offers the Flexi-Pass option, allowing participants to access training sessions for a duration of 3 months. This provides them with extended support and guidance, enabling them to clarify doubts and review concepts as required.

DataMites provides a complimentary demo class, allowing participants to get a glimpse of the training program and gain an understanding of what they can expect during the training sessions.

Upon successful completion of the Machine Learning training, participants will receive the prestigious IABAC® certification, which is globally recognized and respected for its industry recognition and credibility.

DataMites provides participants with various payment options, including cash, net banking, checks, debit cards, credit cards (Visa, Mastercard, American Express), and PayPal. These flexible payment methods ensure convenience for individuals enrolling in the courses.

DataMites in Panaji offers Machine Learning courses through diverse training methods, such as live virtual training, blended learning (combining online and classroom training), and on-demand classroom training. This range of options grants learners the flexibility to select their preferred mode of learning.

The salary of a machine learning engineer in India ranges from INR 8,57,029 per year according to an Indeed report.

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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