• Analytics Tools:R, Python
  • Duration = 3 Months
  • Certificate Program
  • Mode - Classroom / Online

This course provides a concise introduction to the fundamental concepts in machine learning and popular machine learning algorithms. We will cover the standard and most popular supervised learning algorithms including linear regression, logistic regression, decision trees, k-nearest neighborhood, an introduction to Bayesian learning and the naïve Bayes algorithm, support vector machines and kernels and neural networks with an introduction to Deep Learning. We will introduce the basics of computational learning theory. In the course we will discuss various issues related to the application of machine learning algorithms.  The course will be accompanied by hands-on problem solving with programming in Python and some tutorial sessions.

Module 1 Python programming fundamentals
Module 2 NumPy fundamentals
Module 3 Data manipulation, summarization and visualization using pandas and met leap
Module 4 Introduction to machine learning
Module 5 Linear & Multiple-Linear Regression
Module 6 Logistic Regression
Module 7 Decision Tree
Module 8 Support Vector Machine
Module 9 Ensemble learning
Module 10 Deep learning
Module 11 Text Mining
Module 12 Assessment
Module 1 Python programming fundamentals
Module 2 NumPy fundamentals
Module 3 Data manipulation, summarization and visualization using pandas and met leap
Module 4 Introduction to machine learning
Module 5 Linear & Multiple-Linear Regression
Module 6 Logistic Regression
Module 7 Decision Tree
Module 8 Support Vector Machine
Module 9 Ensemble learning
Module 10 Deep learning
Module 11 Text Mining
Module 12 Assessment

Upcoming Batches

Batch Code Start Date End Date Timings Venue Days in week
DMLP-01 Oct 25, 2018 Jan 25, 2019 10:00 AM TO 02:00 PM Defour Office, Mumbai Thursday - Friday

Training & Supervised Learning Programs Support: -

Faculty: -
Highly experienced industry practitioners
Case based learning model: -
Real industry problems and case studies with live data sets
Training methodology: -
Instructor-led, coupled with case studies, videos, management games and role plays.
Industry immersion session: -
Insights from business analytics practitioners from leading organizations.
Dedicated support: -
Additional 12 hours extended handholding to help in queries, assignments, project implementation *valid for 3 months
Opportunity to work on Live Industry Projects
90 days Internship for deserving candidates
Placement assistance: -
Placement opportunities, Premium packages from job portals, Interview FAQs, guidance for resume building
Chance to be the part of Defour community
Knowledge Sharing Platform through Yearly Membership
Best performer eligible for an accolade
Certification