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  • 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

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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

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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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Why DataMites Infographic


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





Datamite's Machine Learning course will prepare you an expert in machine learning, a form of artificial intelligence that automates data study to enable computers to learn and comply through experience to do exact tasks without accurate programming. You will master machine learning concepts and techniques including supervised and unsupervised learning, mathematical and heuristic form, and hands-on experience to develop algorithms and prepare you for the role of Machine Learning Engineer.


DataMites's Certified Data scientist with R program covers all the data analytics techniques using the latest tools like R, Python, Tableau, Machine Learning and MiniTab. This course allows you to obtain an in-depth knowledge by laying a strong foundation and covering all the latest topics. The increasing demand curve for data analytics professionals to manage the large set of data in various organizations along with this course certificate can transform you into a successful data analytics professional.

This course comes as a perfect package by allowing you to learn about entire data lifecycle and all the methods to achieve the same. You would not just learn about the data analytics techniques and tools but also learn on how to apply them to raw data and obtain business insights.

After successful completion of this “Certified Data scientist with R” course, you should have

  • Gained a better knowledge on how the Business statistical Analytics work and its lifecycle.
  • Learned to perform data analysis for large set of data using all the latest tools like R, Python, Tableau, Machine Learning and MiniTab.
  • Attained the ability to work with different data formats like CSV, XML, SPSS, SAS, etc.
  • In depth knowledge on Data Mining, Data forecasting, and Data Visualization.

Data science is the hot field that is booming up now. Be it a small company or an MNC, they need a Data scientist to manage their large pool of data. High demand for data scientists with only a few qualified people to hire, the companies are ready to offer extremely fat salaries to those who have completed this course. This course not only fetches you loads of career opportunities but also allows you to apply the new age skills in your current work and prove to senior management that you are efficient and knowledgeable. Be assured that you are entering the future of analytics much earlier to grab those wonderful opportunities arising from this biggest need of the business world.

This course “Certified Data scientist with R” is not restricted to any specific domain.

  • Fresh Graduates or students from any discipline can choose this course to obtain better job opportunities in this most demanding data analytics field.
  • Working professionals looking to change their domain to analytics field can also opt this course.
  • Highly recommended for those who are aspiring jobs that mainly revolves around data analytics and for those who have a keen interest or a basic knowledge of statistics and mathematics.

Being one among the handful companies offering this Data Science training, DataMites assures you an industry tailored training program from best trainers. The combined learning of theoretical and practical sessions can help you with a clear idea of all the concepts. DataMites's Certified Data scientist with R course will give you the edge in the competitive market.

Machine learning is a subset of artificial intelligence that enables machines to imitate intelligent human behavior.

Machine learning provides businesses with the ability to extract value from corporate and consumer data, leading to better decision-making and a competitive edge.

Some popular machine learning tools include SAS, Apache Hadoop, Tableau, BigML, Knime, RapidMiner, Excel, Apache Flink, and Power BI.

Machine learning has permeated nearly every industry, powering applications such as healthcare analytics, finance prediction models, retail recommendation systems, and more.

Machine learning algorithms are categorized into supervised, semi-supervised, unsupervised, and reinforcement learning.

Machine learning has extensive applications across a wide range of industries, including but not limited to medicine, finance, social media, facial and voice recognition, online fraud detection, and biometrics.

Job roles in machine learning include data scientist, machine learning engineer, NLP scientist, business intelligence developer, software engineer, computational linguist, and more.

Anyone interested in learning machine learning, regardless of experience level, can enroll. It is particularly beneficial for those pursuing data analytics or aiming to build a career in the field.

Having a solid foundation in applied mathematics, computer science fundamentals, communication skills, and knowledge of topics like NLP and neural networks can benefit learning machine learning.

Learning machine learning is similar to mastering any other set of programming libraries. With the right guidance and a focus on practical implementation, it can be learned easily, leading to a successful career.

Machine learning is a subset of artificial intelligence, where AI aims to create computer systems that can think like humans, and machine learning focuses on machines learning from data to make decisions and predictions.

Machine learning is a set of techniques within data science that allows computers to learn patterns and insights from data to make predictions and decisions.

Yes, a fresher can secure a job in machine learning by acquiring the necessary skills and networking with experienced professionals in the field.

Machine learning engineer salaries vary by location. In the United States, the average salary is $131,001 per year, in Germany it is €53,589 per year, and in India, it is INR 8,50,397 per year.

Machine learning certifications validate your skills and enhance job prospects in a technology-driven world where companies are seeking machine learning professionals.

Machine learning allows computers to analyze large volumes of data and make data-driven recommendations and decisions, providing valuable insights and accuracy.

Machine learning is prevalent in various applications such as search engines, spam filters, personalized recommendations, banking software, and speech recognition, showcasing its widespread adoption and impact.

Machine learning's ability to predict outcomes with precision, its distinction from traditional programming, and its potential for advancement make it a promising technology for the future.

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This an online program and you can learn conveniently from your home.

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and also have been monitored by industry practitioners.

No, the exam fees are already included in the course fee and you will not be charged extra.

We guarantee that you can achieve an in-depth knowledge and an enhanced skills but we do not provide job assistance.

To gain expertise in Machine Learning, you can consider enrolling in the Machine Learning Course offered by Datamites. Our comprehensive training program provides in-depth knowledge and practical skills necessary for your career advancement.

Python is widely regarded as the most suitable programming language for Machine Learning. Its simplicity and robust library ecosystem make data validation quick and error-free. With Python, developers can perform complex operations without extensive coding.

Yes, Statistics plays a crucial role in Machine Learning and is essential for implementing various Machine Learning algorithms. It is commonly considered a prerequisite for working in the field of applied Machine Learning. Statistics enables the conversion of observations into meaningful insights and helps answer questions related to data samples.

DataMites offers the following Machine Learning Certification programs:

  • Machine Learning Expert
  • Machine Learning Foundation
  • Machine Learning TensorFlow
  • Machine Learning with R
  • Machine Learning with Python

The Machine Learning course has a duration of 2 to 6 months, with a total of 120 hours of training. Training sessions are conducted on weekdays and weekends, providing flexibility to choose based on your availability.

No, a postgraduate degree is not mandatory. However, having prior knowledge in Mathematics, Statistics, Economics, or Computer Science can be highly beneficial in grasping the concepts effectively.

For beginners looking to start a career in Machine Learning, the Machine Learning Foundation Course offered by DataMites is highly recommended.

There are several reasons to choose Online Machine Learning training from DataMites:

  • DataMites is a globally accredited institute for Machine Learning by the International Association of Business Analytics Certification (IABAC).
  • We have a large community of over 25,000 enrolled students.
  • Our training approach follows a three-step learning method, including self-study materials, live online training, and real-world projects.
  • Upon completion, you will receive the globally recognized IABAC certification.
  • Internship opportunities with AI company Rubixe are available after the training.

The fee for Machine Learning training at DataMites varies depending on the course and mode of training chosen. Here is the fee range for different regions:

  • USA: $172.13 to $794.43
  • India: INR 13,000 to INR 60,000
  • Europe: €151.85 to €700.86

Yes, DataMites provides classroom training in select cities in India, including Bangalore, Chennai, Pune, Hyderabad, and Kochi. For other locations, classroom training can be arranged based on demand and the availability of other candidates from the same location.

DataMites ensures that trainers are certified professionals with extensive industry experience and expertise in the subject matter. They are selected based on their qualifications, certifications, and teaching abilities.

The Flexi-Pass option allows you to attend training sessions from DataMites for a duration of 3 months. It provides you with additional support and guidance for clearing any doubts or revising the concepts.

Upon completion of the Machine Learning training, you will receive the prestigious IABAC® certification, which holds global recognition in the industry.

Yes, DataMites will issue a Course Completion Certificate after you successfully complete the Machine Learning training.

In case you miss a session, you can contact your instructors to schedule a makeup class according to your availability. For online training, all sessions are recorded and uploaded, allowing you to catch up at your own pace.

Yes, DataMites provides a free demo class to give you an overview of the training program and what to expect during the training.

The DataMites Placement Assistance Team (PAT) offers a range of services, including:

  • Job connections and placement opportunities.
  • Resume creation assistance.
  • Mock interviews with industry professionals.
  • Discussion of interview-related questions.

DataMites follows a case study approach to learning, which includes theory, hands-on practice, case studies, project implementation, and model deployment.

Absolutely! You can request help sessions to clarify any doubts or gain a better understanding of specific topics covered in the training.

DataMites accepts payments through various methods, including cash, net banking, checks, debit cards, credit cards, PayPal, Visa, Mastercard, and American Express.

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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