Machine Learning Specialization

Machine Learning Specialization using R

 


Machine Learning using R

Who Should do this course?

Candidates from various quantitative backgrounds, like Engineering, Finance, Math, Statistics, Economics, Business Management and have some knowledge on the data analysis, understanding on business problems etc.

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Course Duration 40 hours
Classes 15
Tools R, R-Studio
Learning Mode Video Based Training

Introduction to Machine Learning

  • What is machine learning?
  • What are the use case of Machine learning?
  • Statistical learning vs. Machine learning
  • Iteration and evaluation
  • Major Classes of Learning Algorithms -Supervised vs Unsupervised Learning
  • Different Phases of Predictive Modelling (Data Pre-processing, Sampling, Model Building, Validation)
  • Concept of Overfitting and Under fitting (Bias-Variance Trade off) & Performance Metrics
  • Types of Cross validation(Train & Test, Bootstrapping, K-Fold validation etc)
  • Introduction to CARET package
  • Introduction to H2O package

Supervised Learning

  • Linear Regression
  • Logistic regression
  • Generalization & Non Linearity
  • Recursive Partitioning(Decision Trees)
  • Ensemble Models(Random Forest, Bagging & Boosting(ada, gbm etc))
  • Artificial Neural Networks(ANN)
  • Support Vector Machines(SVM)
  • K-Nearest neighbours
  • Naive Bayes

Unsupervised Learning

  • K-means clustering
  • Challenges of unsupervised learning and beyond K-means

Recommendation Engine

  • Market Basket Analysis
  • Collaborative Filtering

Social Media and Text Analytics using R

  • Social Media – Characteristics of Social Media
  • Applications of Social Media Analytics
  • Metrics(Measures Actions) in social media analytics
    Examples & Actionable Insights using Social Media Analytics
  • Text Analytics – Sentiment Analysis using R
  • Text Analytics – Word cloud analysis using R
  • Text Analytics - K-Means Clustering

Text Mining, Social Network Analysis and NLP

  • Taming big text, Unstructured vs. Semi-structured Data; Fundamentals of information retrieval, Properties of words; Vector space models; Creating Term-Document (TxD);Matrices; Similarity measures, Low-level processes (Sentence Splitting; Tokenization; Part-of-Speech Tagging; Stemming; Chunking)
  • Handling big graphs
  • The purpose of it all: Finding patterns in data
  • Finding patterns in text: text mining, text as a graph
  • Natural Language processing (NLP)

Access to 24 hours of video classes along with doubt-clearing support

Refernce codes and study material in PDF format

Module wise case studies/ projects

Career guidance and career support post the completion of some selected assignments and case studies

For how long are the recordings available to me?

One year from the date of your registration.

Virtually the recordings are available to you for lifetime, but for judicious use of IT resources, the access to these recordings get deactivated post one year which can be extended upon requests.

Can I download the recordings?

No. Our recordings can be accessed through your account on LMS or stream them live online at any point of time though.

Recordings are integral part of AnalytixLabs intellectual property by Suo Jure. The downloading/distribution of these recordings in anyway is strictly prohibited and illegal as they are protected under copyright act. Incase a student is found doing the same, it will lead to an immediate and permanent suspension in the services, access to all the learning resources will be blocked, course fee will be forfeited and the institute will have all the rights to take strict legal action against the individual.

What if I share my LMS login details with a friend?

The sharing of LMS login credentials is unauthorized, and as a security measure, if the LMS is accessed by multiple places, it will flag in the system and your access to LMS can be terminated.

Will I get a certificate in the end?

Yes. All our course are certified. As part of the course, students get weekly assignments and module-wise case studies. Once all your submissions are received and evaluated, the certificate shall be awarded.

Do you help in placements?

We follow a comprehensive and a self-sustaining system to help our students with placements. This is a win-win situation for our candidates and corporate clients. As a pre-requisite for learning validation, candidates are required to submit the case studies and project work provided as a part of the course (flexible deadline). Support from our side is continuous and encompasses help in profile building, CV referrals (as and when applicable) through our ex-students, HR consultants and companies directly reaching out to us.

We will provide guidance to you in terms of what are the right profiles for you based on your education and experience, interview preparation and conducting mock interviews, if required. The placement process for us doesn’t end at a definite time post your course completion, but is a long relationship that we will like to build.

Do you guarantee placements?

No institute can guarantee placements, unless they are doing so as a marketing gimmick! It is on a best effort basis.

In professional environment, it is not feasible for any institute to do so, except for a marketing gimmick. For us, it is on a best effort basis but not time – bound – in some cases students reach out to us even after 3 years for career support.

How do I attend the online classes? Are they interactive or self-paced?

We provide both the options and for instructor led live online classes we use the gold standard platform used by the top universities across the globe. These video sessions are fully interactive and students can chat or even ask their questions verbally over the VoIP in real time to get their doubts cleared.

How can I reach out to someone if I have doubts post class?

Through the LMS, students can always connect with the trainer or even schedule one-to-one time over the phone or online. During the course we also schedule periodic doubts-clearing classes though students can also ask doubts of a class in the subsequent class.

LMS also has a discussion forum where a lot of your doubts might get easily answered.

Incase you are having a problem still, repeat the class and schedule one-to-one time with the trainer.

I am having difficulty coping up with my classes. What can I do?

For all the courses, we also provide the recordings of each class for their self-reference as well as revision in case you miss any concept in the class. In case you still have doubts after revising through the recordings, you can also take one-to-one time with the faculty outside classes during.

What is your refund policy?

  • Video-based - 2 days

Can I pay in instalments?

Not for this course. The instalment options are available only for our courses which are atleast 3 months long or live classes.

What are the system requirements for the software?

There is no particular system requirement for this course since R can be easily installed on almost every laptop with basic configuration available these days. However, if possible, it is recommended to have 64-bit operating system.

Faculties are technically very sound. Great place to learn and grow!

- Vivek Srivastava (Database Engineer, BioXcel Corporation)

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