MACHINE LEARNING EXPERT

Machine Learning (ML) is a different approach where computer learns the rules of solving complex problems without being explicity programmed. Machine Learning algorithms are at the core and important pieces 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 detail about how they work and apply these algorithm with real-world data.

Finally, we create ML models with the Python Scikit-Learn package in solving business problems and case studies. This will give you a complete knowledge of Machine Learning algorithms, 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 optimize 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 equivalent demonstrable ML skills.

In recent years, Machine Learning has taken over the mainstream business and evolved 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 of Machine Learning on choosing ML algorithms to optimize Machine Learning models, which enables you to deliver data science projects effectively.

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

• Professionals aspiring to pursue 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 projects available in crowdsourced platforms such as Kaggle. As a part of the course, a certification assessment is conducted and candidates achieving minimum qualifying scores 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 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 the 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 market requirements and be a part of this phenomenal Data Science era.

• PASSIONATE: We are passionate about enabling professionals with best practice Data Science skills
• ACCREDITED: DataMites™ is accredited with "International Association of Bussiness 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.,

• Data preprocessing
• Types of ML algorithms : Supervised and Unsupervised.
• Overview of Classification , Regression and Clustering algorithms

• Supervised Machine Learning algorithms
• K-Nearest Neighbors (KNN) concept and application
• Naive Bayes concept and application
• Logistic Regression concept and application
• Classification Trees concept and application
• Unsupervised Machine Learning algorithms
• Clustering with K-means concept and application
• Hierarchial Clustering concept and application

• Advanced Data Mugging
• Outlier Analysis
• Treating for missing values
• Normalization vs Standardization of data

• Creating an application for Hiring Employee for MNC
• Setting up the project with ML workflow.
• Data Preprocessing and statistical exploration
• Building, Training and evaluation of Machine Learning Model
• Packaging and deploying

DataMites™ provide flexible learning options from traditional classroom training, lastest 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 IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness 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 constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for 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

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

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.