In recent years, Data Analytics and Machine learning has emerged as powerful techniques for solving problems involving huge loads of data. Machine Learning algorithms help towards taking a better decision. We will walk you step-by-step into the world of Machine Learning. With every lecture, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Artificial Intelligence. The whole data analysis process is a cycle of trial and error: design features and clean and normalize the data, reduce input dimensionality if necessary, build the model, evaluate it, and go back to the start.

This Machine Learning online course offers an in-depth overview of Machine Learning topics including working with real-time data, developing algorithms using supervised & unsupervised learning, regression, classification, and time series modeling. Learn how to use Python in this Machine Learning certification training to draw predictions from data.

Data Scientist has been named the best job – Forbes.

 

Exclusive Benefits of the Course:

  • One to One live interaction with the instructor.
  • A digital toolkit of PPTs/software packages and study material for all participants.
  • Learn from the best faculties of the industry.
  • An opportunity to exchange ideas and thoughts with other participants from PAN India IIT’s, NIT’s, and reputed universities.
  • One free session (1.5 Hrs.) on Personality Development and Placement Preparation.
  • One additional session (1 Hr.) on Project Discussion in between the project duration.
  • Complete Recording of the Classes on daily basis.

Curriculum

Introduction Of Machine Learning and Data Mining

  • Introduction of Artificial Intelligence, Machine Learning and Data Mining.
  • Brief introduction to Machine Learning for AI.
  • Classification of Machine Learning.
  • Difference between Machine Learning and Artificial Intelligence.
  • Machine Learning and Data Mining Techniques.
  • Types of Learning.
  • Machine Learning System Design.
  • Supervised Learning- Regression Classification.
  • Future scope of Machine Learning and Artificial Intelligence.

Data Mining Algorithms

  • Naive Bayes Classification
  • Back-propagation
  • Logistic Regression
  • Support Vector Machines (SVM)
  • Random Forest
  • Decision Tree
  • k-Nearest Neighbors (KNN)
  • K-Means Clustering

Python/Anaconda

  • Introduction to python and anaconda
  • Conditional Statements
  • Looping, Control Statements
  • Lists, Tuple ,Dictionaries
  • String Manipulation
  • Functions
  • Installing Packages
  • Introduction of Various Tool
  • Introduction of Anaconda
  • Working on spyder ,Jupyter notebook

Working on Various Python Library

  • Installing library and packages for machine
  • learning and data science
  • Matplotlib
  • Scipy and Numpy
  • Pandas
  • IPython toolkit
  • scikit-learn

Introduction of OpenCv

  • Installing Opencv library
  • Introduction of Opencv and its function
  • Reading and Writing Image and Video
  • Creating Different Shape
  • Introduction of Haar-Casecade Classifier
  • Working with images and videos

Projects

Projects

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  1. This is a basic + advanced level course. All the tools and techniques required will be taught in the course itself.
  2. Participants need to have a laptop/PC (with a minimum of 4 GB RAM, 100 GB HDD, Intel i3+
  3.  
  4. The course and curriculum of this program are more inclined towards engineering streams, however, anybody can join this training even from a different department.
  5. Any B.Tech/BE/BCA/BSc/M.Tech/ME/MCA /MSc or any UG or PG/PhD student, faculty member or working professional from any college/institute/company can join this course to enhance his/her skills.
  6. processor) and proper internet/Wi-Fi connection.

 

  • Certificate of Training (for 3 Weeks) from Diginique TechLabs, An IIT Roorkee Alumni Venture.
  • Separate Certificate for Project Completion (for 3 Weeks).
  • Certificate of Internship (for 45 Days) from Diginique TechLabs, An IIT Roorkee Alumni Venture.
  • Recommendation Letter for Campus Placements.
  • Microsoft(MTA) / HPE certificate upon clearance of elementary level exam based on the course content taught.

Total Fee: Rs.6,499/- (including GST 18 % and other taxes) 
Fee is to be paid in three instalments (Registration Fee (1000/-), First (3000/-) & Second Instalment (2499/-) 

Registration Process

Step 1

Book your seat by paying registration fee

Step 2

You will receive a confirmation email within 24 hrs.

Step 3

Pay your first instalment after receiving confirmation email.

Step 4

Join the internship program.

Step 5

Pay the second installment

Batch Details

  Batch Training Duration - 3 Weeks
(2.5 Hrs. Session Each Day,
Except Sat - Sun) Project Duration - 3 Weeks
(Self-Paced)     Start Date End Date Start Date Submission Date   A Sept 21, 2020 Oct 11, 2020 Oct 12, 2020 Nov 04, 2020   B Oct 05, 2020 Oct 25, 2020 Oct 26, 2020 Nov 18, 2020   C Oct 19, 2020 Nov 08, 2020 Nov 09, 2020 Dec 02, 2020   D Nov 02, 2020 Nov 22, 2020 Nov 23, 2020 Dec 16, 2020   E Nov 16, 2020 Dec 06, 2020 Dec 07, 2020 Dec 30, 2020