Machine Learning Course Features



Live Virtual

Instructor Led Live Online

CHF 930
CHF 765

  • 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

CHF 560
CHF 345

  • 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

Corporate Training

Customize Your Training

  • Instructor-Led & Self-Paced training
  • Customized Learning Options
  • Industry Expert Trainers
  • Case Study Approach
  • Enterprise Grade Learning
  • 24*7 Cloud Lab


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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




The global machine learning as a service market is expected to grow at a compound annual growth rate (CAGR) of 39.3% between 2022 and 2030, according to a report published by precedence research. In 2021, the market was estimated to be worth USD 15.47 billion. By 2030, it is predicted to be worth USD 305.62 billion. That's proof that AI and machine learning careers have expanded rapidly and will do so in the future. As a result of the status of job requirements and the pay packages, machine learning careers are among the top career paths in the twenty-first century.

DataMites®, a global training provider in the fields of data science and machine learning, offers efficient training that satisfies the demands of the sector's quick change. DataMites provides training services in countries including South Africa, the Philippines, Saudi Arabia, the United Arab Emirates, the United Kingdom, and India. DataMites has operations. Since we have assisted more than 50k students, we can promise that your machine learning journey will be enjoyable. However, perhaps most significantly, the International Association of Business Analytics Certification has recognised the quality of our courses (IABAC).

The three most effective machine learning courses—Machine Learning Expert, Machine Learning Foundation, and Machine Learning with Python—all help you comprehend subjects that are quite popular in the contemporary era. The esteemed International Association of Business Analytics Certification has given the DataMites® Machine Learning Certification Courses in Switzerland its seal of approval (IABAC). You can get top-notch coaching in real-time from DataMites® for a very low price.

We provide online machine learning training in Switzerland along with three-phase, six-monthly machine learning courses.

Phase 1: Applicants will receive excellent self-study videos and tools to help them complete the entire curriculum as they get ready for the upcoming course.

Phase 2 is the main Live Intensive Training phase, and it includes international certifications like the IABAC Machine Learning Certification in Switzerland and practical capstone projects.

Projects, internships, and the Career Ready Program make up Phase 3.

Our machine learning courses in Switzerland include;

Machine Learning Expert - Programmers must make it possible for computers to learn on their own and create outcomes without the need for human input. The Machine Learning Expert certification validates your proficiency in machine learning, artificial intelligence, and data science, as the name suggests. The five-month Machine Learning Expert Training program will continue.

Machine Learning Foundation - Beginners can learn about machine learning by taking the Machine Learning Foundation course. Machine learning algorithms supervised learning I and II, unsupervised learning, and dimensionality reduction are some of the subjects covered in this course. The Machine Learning Foundation Courses are intended to be completed in two months.

Machine Learning with Tensorflow - TensorFlow is an open-source artificial intelligence toolkit that builds machine learning models using data flow graphs. Categorization, perception, discovery, prediction, and creativity are all typical uses for TensorFlow. You will learn how to utilize Tensorflow, gain a better understanding of statistics, and develop machine learning models and algorithms using real-world data in the course "Machine Learning with Tensorflow." The Tensorflow Machine Learning training program has a five-month time frame.

Python for Machine Learning - Python is a general-purpose programming language that may be used to quickly create machine learning testing prototypes as well as manage a variety of challenging machine learning jobs. The Python with Machine Learning course teaches you how to build Machine Learning algorithms in Python from scratch. In this course, Python's applications to machine learning, statistics, algorithms, data processing, and other topics are addressed. The five-month DataMites® Machine Learning with Python Training Program is currently running.

Machine Learning with R - R is used for machine learning, or "machine learning using R." The best data scientists in the world utilize R, a robust machine learning framework. The course on machine learning with R covers R for machine learning, fundamental statistics for ML, an introduction to ML, data processing for ML, ML algorithms, developing and training ML models, and a real-world case study. There is a five-month training program called DataMites ML using R.

There are numerous prospects for aspirational machine learning and artificial intelligence professionals as Switzerland steadily advances to become Europe's premier technology nation. To compete with other big IT marketplaces, the nation is increasingly implementing new techniques. The cost of the DataMites® online machine learning course in Switzerland can vary from 228.26 CHF to CHF 684.77 depending on the course that you take. The number of work prospects for those interested in a career in AI and machine learning has increased significantly in recent years as a result of technology improvements in a variety of sectors, including finance, health, education, and many others.

Along with the machine learning course, DataMites also provides artificial intelligence course, deep learning, data analyst, data analytics, r programming, python training, mlops, power bi, tableau, data engineer and data science courses in Switzerland.


Machine learning is a subset of artificial intelligence that describes a machine's ability to imitate intelligent human behavior.

Anyone interested in learning Machine Learning, whether a newbie or a seasoned veteran, can enroll. Those who want to get into data analytics or build a profession out of it should take the course.

Courses in machine learning might run anywhere from six to eighteen months. However, the curriculum varies based on the degree or certification you pursue. 6-month courses can provide you with a significant machine learning experience, which could lead to entry-level positions at top firms.

Depending on the course level and type of training you choose, the cost of Machine Learning Training in the US could range from 162.24 USD to 773.94 USD. The Machine Learning Training Fee in Europe can vary from 152.01 Euros to 725.12 Euros. The Machine Learning Training Fee in India might range from 12,578 INR to 60,000 INR, depending on the course level and form of training you choose.

Suppose you want to work in the industry. In that case, the machine learning expert course is the one to take because it qualifies you as an expert in the fields of machine learning, artificial intelligence, and data science by teaching you how to program in the most popular programming languages, such as Python.

Machine learning, data science, artificial intelligence, and related courses are taught at DataMites®. DataMites collaborates with world-renowned Machine Learning professionals to create and deliver a training course. As of today, there are millions of jobs and business prospects in Data Science all over the world, and this number will only grow tremendously in the future years.

The national average Machine Learning Engineer Salary in Switzerland is CHF 123,667 per year. (

  • Software Engineer
  • Data scientist
  • Machine learning engineer
  • Machine-learning scientist
  • NLP Scientist
  • Computational Linguist
  • Business Intelligence Developer
  • Software Developer
  • Human-centered Machine Learning
  • Application architect
  • Data Analyst

Machine Learning will benefit from abilities such as applied mathematics, NLP, computer science basics, communication skills, Neural Networks, and problem-solving.

To function, all businesses rely on data. Machine learning has the ability to dig up the value of corporate and consumer data, enabling businesses to make better decisions and stay ahead of the competition.

Machine Learning has now surpassed almost every business on the earth. There isn't a single industry that doesn't rely on data these days. Machine Learning (ML) has a wide range of applications. It will expand in the near future to include medical, finance, social media, facial and voice recognition, online fraud detection, and biometrics. According to reports, the machine-learning market was worth $1.41 billion in 2020 and is predicted to reach $8.81 billion by 2025.

Artificial intelligence (AI) is an area of computer science whose goal is to develop a computer system that can think like a person. It's created out of the phrases "artificial" and "intelligence," which mean "human-made thinking ability" when put together. Machine learning is a type of artificial intelligence, in which artificial intelligence refers to the overall appearance of intelligence, while machine learning refers to the process of machines ingesting data and learning things about the world that humans find difficult.

A fresher can get a career in machine learning if he or she learns the necessary abilities. To have a successful career in the machine learning landscape, freshers must prepare how they will perform well and communicate closely with professionals that have significant expertise in the same sector.

Machine Learning is wide-ranging and its applications are infinite. Companies all over the world are searching for machine learning professionals who can be an asset to their companies. Machine Learning certifications can be valuable for your career ahead in this technology-driven world.

Data science is a field of study that uses a scientific method to extract meaning and insights from data. On the other hand, machine learning refers to a collection of data science techniques that allow computers to learn from data.

Python is superior to R since it may be utilized for a variety of applications. It has improved scalability, performance, and integration, among other things. R, on the other hand, is a better choice for data analysis and visualization.

It is a type of Artificial Intelligence that allows program applications to predict outcomes with extreme precision. It distinguishes between creating computer programs and assisting machines in memorizing without human intervention. Machine learning, on the other hand, has a promising future ahead of it.

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The prospects are expanding as artificial intelligence and machine learning become more widely employed around the world and in a wider range of businesses, and Switzerland is supporting this as a top priority. Machine learning has been embraced by a range of industries, including transportation, healthcare, finance, manufacturing, advertising, and more!

No, a PG degree is not necessary but having prior knowledge of Mathematics, Statistics, Economics, or Computer Science can be highly beneficial.

Machine Learning is one of the best spheres where you can begin your career in. Freshers can enroll in our Machine Learning Foundation Course.

It's no more difficult to learn how to use machine learning than it is to master any other set of programming libraries. The key is to focus on putting the algorithm to work rather than inventing it. Machine Learning, like any other discipline, may be learned easily in the right direction, and it is possible to create a career in it.

Machine Learning is a highly sought-after field of study that assures highly lucrative salary packages. Aspirants can enroll at DataMites® for Machine Learning Course, we provide in-depth training for your further career.

The duration of the Machine Learning Course in Switzerland is 6 months, totaling 120 hours of training. Training sessions are imparted on weekdays and weekends. You can choose any as per your availability.

  • DataMites®™ is the global institute for Machine Learning accredited by the International Association of Business Analytics Certification (IABAC).
  • We have more than 25,000 students enrolled in the courses we offer.
  • We provide a three-step learning method. In Phase 1, self-study videos and books will be provided to the candidates to help them get adequate knowledge about the syllabus. Phase 2 is the primary phase of intensive live online training. And in the third phase, we will release the projects and placements.
  • The entire training includes real-world projects and highly valuable case studies.
  • After the training, you will receive the IABAC certification which is a global certification.
  • After completing your training, you will get the chance to do an internship with an AI company.

The cost of the DataMites® online machine learning course in Switzerland can vary from 228.26 CHF to CHF 684.77 depending on the course that you take.

Although DataMites® offers classroom instruction, it is exclusively available in India. We provide Machine Learning Courses Online in Switzerland that is just as effective and engaging as classroom training.

We are determined to provide you with trainers who are certified and highly qualified with decades of experience in the industry and are well-versed in the subject matter.

We will issue you an IABAC® certification that provides global recognition of relevant skills.

Yes. Photo ID proofs like a National ID card, Driving license, etc. are needed for issuing the participation certificate and booking the certification exam as required.

Our Flexi-Pass for Machine Learning training will allow you to attend sessions from DataMites® for a period of 3 months related to any query or revision you wish to clear.

  • You don't need to worry about it. Just get in touch with your instructors regarding the same and schedule a class as per your schedule.
  • In the case of Machine Learning Training Online in Switzerland, each session will be recorded and uploaded so that you can easily learn what you missed at your own pace and comfort.

Of course, after your course is completed, we will issue you a Machine Learning Course Completion Certificate.

Yes, a free demo class will be provided to you to give you a brief idea of ??how the training will be done and what will be involved in the training.

The course price must be paid in full to reserve your spot for the complete course as well as arrange your certification examinations with IABAC. If you have any unique limits, your DataMites® relationship manager will assist you with part payment agreements.

The DataMites® Placement Assistance Team (PAT) holds career coaching sessions for applicants with the goal of assisting them in recognizing the purpose they will serve once they enter the corporate sector. Students are guided by industry experts through the numerous options accessible in the Machine Learning career, allowing applicants to have a thorough image of their options. They will also learn about the many hurdles they are likely to meet as a newcomer to the industry and how to overcome them.

Yes, of course, it is important that you make the most of your training sessions. You can of course ask for a support session if you need any further clarification.

Yes, we have a dedicated Placement Assistance Team (PAT) who will provide you with placement facilities after the completion of the course.

Learning Through Case Study Approach

Theory → Hands-on → Case Study → Project → Model Deployment

We accept payment through the;

  • Net Banking
  • Cash
  • Debit Card
  • PayPal
  • Check
  • Credit Card
  • Visa
  • Master card
  • 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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