Machine Learning Course Features


Machine Learning Course Fee in Bangalore

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


Enquire Now


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



About Machine Learning Course in Bangalore

Machine Learning, a transformative force in the tech industry, is forecasted to reach a staggering USD 733.7 billion by 2027. Embracing this potential, DataMites is committed to amplifying this growth with its extensive Machine Learning Training in Bangalore, a city leading in technological innovation and development.

DataMites is not just a leader in Machine Learning Courses in Bangalore but also offers a wide spectrum of courses in Artificial Intelligence, Python, Blockchain, Data Analytics, and Data Engineering. These programs are designed with a vision to develop the tech leaders of tomorrow. The Machine Learning Expert Training in Bangalore is particularly advantageous for fresh graduates who have a foundational understanding of machine learning, as well as for professionals aspiring to make strides in ML, AI, or data science.

DataMites Pioneering Three-Phase Learning Approach in Bangalore:

Pre-Course Self-Study: This initial phase is characterized by engaging with high-quality video content that simplifies complex concepts, establishing a strong base for advanced learning.

Intensive Training Program: Available in both online and classroom formats in Bangalore, this program includes:

  • A detailed curriculum spanning 5 months, totaling 350 hours of learning.

  • A comprehensive syllabus that exhaustively covers all critical facets of machine learning.

  • Hands-on projects to apply skills practically.

  • Expert trainers who bring real-world insights and experiences.

Practical Internship Experience: This crucial phase offers real industry experience, featuring:

  • Career guidance and support from the Placement Assistance Team (PAT).

  • Practical skill development through 20 Capstone Projects, a client project, and a machine learning internship certification in Bangalore, equipping students for a career in machine learning.

DataMites - Additional Machine Learning Certifications in Bangalore:

  • Machine Learning Foundation: An entry-level course that introduces the fundamental concepts of machine learning.

  • Machine Learning - TensorFlow: A specialized course aimed at mastering TensorFlow for creating advanced machine learning models, particularly suited for neural networks and deep learning.

  • Machine Learning with Python: This course is tailored for Python enthusiasts, focusing on using Python for efficient data analysis and machine learning model development.

  • Machine Learning with R: Specifically designed for those who prefer R, offering extensive skills in applying R in machine learning projects.

DataMites Machine Learning Course Syllabus in Bangalore:

The Machine Learning Expert Training in Bangalore is structured into four key sections, each imparting deep insights and practical skills in machine learning.

Machine Learning Fundamentals

  • Data Preparation: Essential methods for readying data for machine learning, including data cleansing and structuring.

  • Types of ML Algorithms: A deep dive into both Supervised and Unsupervised learning algorithms.

  • Overview of Algorithms: Introducing fundamental algorithms used in Classification, Regression, and Clustering tasks.

Key Concepts in Machine Learning Algorithms

  • Supervised Machine Learning Techniques

  • K-Nearest Neighbors (KNN): Exploring its concept and real-life applications.

  • Naive Bayes: A detailed exploration of its theoretical framework and practical implementations.

  • Logistic Regression: In-depth analysis of its approach and execution.

  • Decision Trees: Investigating its foundational concept and varied uses.

  • Unsupervised Machine Learning Techniques

  • K-Means Clustering: A study of its algorithmic architecture and practical scenarios.

  • Hierarchical Clustering: A comprehensive look at its core principles and applications.

Sophisticated Data Processing Techniques for Machine Learning

  • Advanced Data Transformation: Advanced methods for manipulating data effectively.

  • Analysis of Outliers: Techniques for spotting and managing outlier data.

  • Handling Missing Data: Approaches to address and rectify missing data issues.

  • Data Normalization vs Standardization: Differentiating and applying data scaling techniques.

Practical Machine Learning Project

  • Project Brief: Developing a machine learning tool for employee hiring in a multinational corporation.

  • Setting Up ML Workflow: Laying the groundwork for a successful project.

  • Data Processing and Statistical Analysis: Step-by-step process for data preparation and analysis.

  • Constructing, Training, and Evaluating the Model: An extensive guide to building, refining, and reviewing the machine learning model.

  • Project Deployment and Packaging: Completing the project for practical deployment and use.


DataMites Machine Learning Course Tools in Bangalore

DataMites Machine Learning Training in Bangalore encompasses a comprehensive study of crucial machine learning tools, equipping participants with knowledge across a diverse range of technologies and platforms. 

The course covers a variety of  machine learning tools including Anaconda, Python, Apache Pyspark, Git, Hadoop, MongoDB, Amazon SageMaker, Google Bert, Google Colab, Advanced Excel, Scikit Learn, MySQL, Azure ML, Flask, Apache Kafka, GitHub, Numpy, TensorFlow, Pandas, Tableau, Atlassian BitBucket, Power BI, NLTK, and PyCharm.

Why Choose DataMites for Machine Learning Training in Bangalore?

  • Expert Faculty: Headed by the globally acclaimed AI expert, Ashok Veda.

  • Internationally Recognized Certifications: Endorsed by IABAC.

  • Modern Learning Resources: Incorporating the latest content relevant to the industry.

  • Practical Experience: Involving 20 capstone projects and a client project.

  • Versatile Learning Options: Offering both machine learning training online in Bangalore and machine learning training offline in Bangalore and across major areas in Bangalore.

The Importance of Machine Learning Courses with Internships in Bangalore:

Internships play a pivotal role in the learning journey by offering practical experience, bridging the divide between academic knowledge and real-world application. DataMites courses in Bangalore go a step further by seamlessly integrating robust internship opportunities. 

These internships are a crucial component of the program, providing students with hands-on experience, preparing them for the challenges and demands of the tech industry. DataMites offers Machine Learning courses with internships in Bangalore, ensuring that learners gain the practical skills and insights necessary to excel in the field.

The Importance of Machine Learning Courses with Placement in Bangalore:

Securing a placement is paramount for launching a thriving career in Machine Learning.  DataMites in Bangalore recognizes this and goes the extra mile to ensure that learners are not only technically proficient but also comprehensively prepared for the job market. With a dedicated Placement Assistance Team (PAT) and a job-ready program, students are equipped with the skills and knowledge needed to excel in their careers. 

DataMites offers Machine Learning courses with placement in Bangalore as well, where the Placement Assistance Team (PAT) plays a vital role in guiding and supporting learners in their career journeys. The machine learning job-ready program in Bangalore focuses on real-world applications, making students well-prepared for the industry. Soft skills training further enhances their employability and readiness for the dynamic machine learning field.

Bangalore, a thriving hub in Bangalore, is home to a robust IT sector that has played a pivotal role in the city's technological advancement. The IT industry in Bangalore is renowned for its adoption of cutting-edge technologies, including Machine Learning, contributing significantly to its growth.

In Bangalore's dynamic job market, Machine Learning presents an array of lucrative career opportunities. Machine Learning Job Roles in Bangalore such as Data Scientists, Machine Learning Engineers, Artificial Intelligence Research Scientists, and NLP Engineers are in high demand, catering to a wide spectrum of Machine Learning applications.

The Machine Learning Industry in Bangalore is poised for substantial expansion, with a growing demand for skilled professionals in this domain. Currently, the average annual salary for a Machine Learning Engineer in Bangalore is reported to be INR 12,95,367 per year, as per Glassdoor. In comparison, the average yearly income for a Machine Learning Engineer in Bangalore stands at INR 10,00,000, highlighting regional salary variations within the country.

Joining the Machine Learning program with DataMites in Bangalore marks the beginning of a comprehensive, skill-focused journey into this rapidly evolving field. Enroll now to be a part of the technological vanguard.

About Machine Learning Training in Bangalore

Machine Learning (ML) is a different approach where computer learns the rules of solving complex problems without explicitly programmed. Machine Learning algorithms are at the core and important piece of data science.

Machine Learning Expert Course is designed in accordance with IABAC™ (International Association of Business Analytics Certifications) to provide a theory and application of popular Machine Learning algorithms in Supervised, Unsupervised and Deep Learning. Major algorithm are discussed in more details about how they work and apply these algorithms with realworld data.

Finally, we create ML models with Python Scikit-Learn package in solving business problems and case studies. This will give you a complete knowledge on Machine Learning algorithm, how they work, how to optimize, advantages and disadvantages of each algorithm along with practical application.

  • Detailed Knowledge of popular Machine Learning algorithms: Supervised and Unsupervised
  • Designing Machine Learning models from scratch to solve business problems with real world data
  • Python Machine Learning package - Scikit-Learn
  • Creating Machine Learning models with various ML algorithms and optimizes parameters for best performance
  • Introduction to Deep Learning
  • Preparing for IABAC™ Certification Exam
  • Basic Statistics Knowledge
  • Basic Python programming along with knowledge on Python packages Numpy and Pandas
  • Machine Learning Foundation course from IABAC or similar demonstrable ML skills.

In recent years, Machine Learning has taken over a mainstream business and evolved has a career track by itself. A quick search in job portals reveals about 20,000 Machine Learning job opportunities on a daily basis in the USA alone. This course provides you with practical knowledge in Machine Learning on choosing ML algorithms to optimization Machine Learning models, which enables to deliver data science projects effectively.

This course is an expert level course and candidate seriously pursuing a career in Data Science can opt.

  • Professionals aspiring to pursue a career in Machine Learning or Data Science in general
  • Fresh colleague graduates with basic Machine Learning knowledge, who are looking to gain more expertise
  • Candidates pursuing Data Scientist tracks

This course provides an expert level knowledge in Machine Learning opening a world of opportunities in the domain of Data Science, Artificial Intelligence, Robots, etc. This course enables candidates to further master the topic with various real-world project available in crowd sourced platforms such as Kaggle. As a part of the course, a certification assessment is conducted and candidate achieving minimum qualifying score receive a global certification, carrying immense value of the testimony of Expert Level ML knowledge.

At DataMites™, we truly believe and very excited about this big wave of Data Science. DataMites™ work with globally renowned Machine Learning experts in designing as well delivering a training course. There are millions of jobs and business opportunities in Data Science across the globe as of today and this is only going to increase exponentially in coming years.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is to enable data science professionals with strong data science skills aligned to market requirements and be a part of this phenomenal Data Science era.

  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Business Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS: On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain the confidence to work in real-world Data Science projects
  • JOB ASSISTANCE: A dedicated team, Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to the individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self-learning.
  • LIBRARY: A Data Science library with a collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, R, Python, Tensorflow, etc.
  • FRIENDLY STAFF: A friendly staff and dedicated counselor, who are trained to guide you in your career ambitions.
  • REQUEST CENTER: Any request or queries is served through our 24x7 Request centre with ticking system. send a request to

The city of Bangalore is the most exciting place for Machine Learning career seekers as Bangalore ranks in top 10 cities in the world for Machine Learning, Artificial Intelligence and Big Data skills demand.

MNCs such as JP Morgan Chase, Robert Bose, Amazon, who are leading Machine Learning industry adoption, are building Machine Learning resource pool in Bangalore.

Organisations such as Infosys, Accenture, Wipro, Capgemini, TCS, etc, who are major global IT solutions providers are aiming at upscaling their Machine Learning Centre of Excellence, thereby hiring Machine Learning resources in thousands, contributing to significant demand in the market.

Undeniably, Bangalore is the best place for Machine Learning Job Opportunities in India for beginners as well as experience and experts in the field of Machine Learning.

Since 2017, LinkedIn jobs in Bangalore location have 2000 active jobs in a day on an average for Machine Learning. In addition, Bangalore has the highest Machine Learning start-ups, with 5-10 new companies being registered monthly.

The growth rate in Bangalore Machine Learning Job opportunities is projected at 50% to 80% in the year 2019.

Machine Learning Operations (MLOps) is an acronym for Machine Learning Operations. MLOps is a basic component of Machine Learning engineering that focuses on optimizing the process of deploying machine learning models, as well as maintaining and monitoring them.

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.

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.

Machine learning is a big discipline in and of itself, thus candidates should expect to spend roughly 6 months getting proper training in the subject. It may take longer if the person has no prior experience in computer programming, data science, or statistics.

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.

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.

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

The national average Machine Learning Engineer salary in the United States is USD $1,31,001 per year. (

The national average Machine Learning Engineer Salary in Germany, and Europe is €64,862 per annum. (

The national average Machine Learning Engineer Salary in India is INR 8,91,424 per year. (

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

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 360 Research 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.

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.

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.

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.

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.

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.

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.

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DataMites™ provide flexible learning options from traditional classroom training, latest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

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 monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at portal. Also by manually sending an email to

The results of the Exam are immediate if you take an online test at portal. The certificate issuance, as per IABAC™ terms takes about 7-10 business days for e-certificate.

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

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constraints, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who works with candidates on an individual basis in assisting for the right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

The results of the Exam are immediate if you take an online test at portal. The certificate issuance, as per IABAC™ terms takes about 7-10 business days for e-certificate.


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.

Bangalore is the most exhilarating city in the world for Machine Learning job hunters, as it grades among the top ten cities in the world for Machine Learning, Artificial Intelligence, and Big Data skills need. There are over 13,000 machine learning-related employment opportunities in Bangalore alone by May 2022. Machine learning employment options in Bangalore include data scientists, machine learning engineers, statisticians, data engineers, and research engineers.

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 Bangalore is 6 months, totaling 120 hours of training. Training sessions are imparted on weekdays and weekends. You can choose any as per your availability.

The Machine Learning Engineer's Salary in India is 8,91,424 INR per annum and the salary for a Machine Learning Engineer in Bangalore is 8,91,394 INR per year. (

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 enrol for our Machine Learning Foundation Course.

  • 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 AI company Rubix, a global technology company.

The machine learning training fee in Bangalore might range from 12,578 INR to 60,000 INR, depending on the course level and form of training you choose.

Datamites does provide classroom training, but only in the Indian states of Bangalore, Chennai, Pune, Hyderabad and Kochi. We would be pleased to host one in other locations, ON-DEMAND of the applicants as according to the availability of other candidates from the exact location.

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

We offer you flexible learning options ranging from live online, self-learning methods to classroom training. You can choose as per your availability.

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.

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

If you take the exam online at, the results are available immediately. According to IABAC guidelines, e-certificate issuing takes 7-10 business days.

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

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.

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 Bangalore, each session will be recorded and uploaded so that you can easily learn what you missed at your own pace and comfort.


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.

All certificates can be verified at using your unique certification number. Alternatively, you may send an email to

If you take the exam online at, the results are available immediately. According to IABAC guidelines, e-certificate issuing takes 7-10 business days.

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

The DataMites Placement Assistance Team (PAT) assists applicants in completing all of the necessary processes to begin their Machine Learning career. PAT offers a variety of services, including: -

  1. Make a job connection
  2. Creating a Resume
  3. Mock interviews with industry professionals
  4. Discuss Questions for the interview

The DataMites Placement Assistance Team (PAT) holds career coaching sessions for applicants with the goal of assisting them in recognising 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.

Learning Through Case Study Approach

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

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.

We accept payment through;

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

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

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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