Objective of Program

How to dig deep into the world of data with hands-on using machine learning ?

The main objective of the 5 days workshop on Practical Hands on Machine Learning will provide real life hands-on sessions. The workshop will touch upon real world problem solving code and working examples for the most common machine learning techniques used by developers and technical professionals worldwide.

These session contains a breakdown of some Machine Learning variant, explaining how it works and how it is used in industries. The workshop will rotate around Machine Learning concepts using Python code with IPython console, Jupyter Notebook tools. The workshop will start with focus on data preparation, handling and manipulation using Pandas, visualizing statistical data with Seaborn, Fitting statistical models with statsmodels.

The workshop will be more problem solving than digging into Theory. Training the model developed is an essential part of the Machine Learning therefore techniques like supervised and unsupervised learning will be used. A full exploration of the various types of learning algorithms illustrates how the proper tools can help any developer extract information and insights from existing data.

At its core, machine learning is a mathematical, algorithm-based technology that forms the basis of historical data mining and modern big data science. Scientific analysis of big data requires a working knowledge of machine learning, which forms predictions based on known properties learned from training data.

Workshop will also Introduce audience with Data Analytics, Linear Regression, Logistic Regression with different case studies to explain the deeper level concepts.

  • video recording of the 5 days session at an additional cost of Rs 500/-
  • online notebooks, so that you can still access your work/source code you have practiced in the sessions. For 1 year
  • free stay in our hostel for 5 days with free lunch. You have to pay for breakfast and dinner only[Approx cost Rs. 500/- for five days].
  • course material to help you

Who can participate

The program is open to faculty members, Research Scholars and Industry Professionals.


Participation certificate shall be awarded to all the participants on the concluding day.


Attendance is mandatory for all 5 days

Resource Persons:

Mr. Jaidev Deshpande

An engineer from university of Pune. Presently working with Juxt Smart Mandate as Practice Lead- Data Science. Worked with organizations like Cube26, iDataLabs, Enthought as a Data Scientist.

Mr. Puneet Jain

An engineer from NIT Kurukshetra and Masters from Stanford Centre for Professional Development, USA. Presently working as Product Manager at Myoperator. Worked with Facebook as a Junior Research Scholar, 1mg.com and many more.

For more information please contact

Vivek Saxena 

Mob: 99996 78616 

E: vivek.saxena@inmantec.edu 

Neelam Yadav

Mob: 99905 10707 

E: neelam.yadav@inmantec.edu E:

Meenu Sharma

Mob: 98186 80986

E: meenu.sharma@inmantec.edu


This is advisable to read the following resources before attending the workshop. This will make understanding deeper and better.
  • List of Resources to walkthrough Dear Participants, Please go through the following links for better understanding of the FDP:1. http://www.scipy-lectures.org/2. https://github.com/jaidevd/theano_nn_tutorial3. https ...
    Posted Apr 17, 2017, 5:02 AM by Inmantec Institutions
  • An Introduction to Statistical Learning Ebook  The book An Introduction to Statistical Learning is one of classical texts freely available on internet to learn basics of statistics.
    Posted Apr 1, 2017, 7:55 AM by Inmantec Institutions
  • Making Games with Python Making Games with Python & Pygame covers the Pygame library with the source code for 11 games. Making Games was written as a sequel for the same age range as Invent ...
    Posted Mar 4, 2017, 9:38 AM by Inmantec Institutions
  • Python Book A Byte of Python Online book. You can access it online. It is recommended to go through chapter 5,4, and 6.
    Posted Mar 4, 2017, 9:30 AM by Inmantec Institutions
Showing posts 1 - 4 of 4. View more »

Registration for the event

Online Payment

Accommodation will be free of cost but you have to pay for Breakfast and Dinner.

Pay Fee via Paytm

  1. Enter URL : https://paytm.com/

  2. Click Fee

  3. Select New Registration

  4. In Institute . Enter INMANTEC

  5. In Select Location: INMANTEC Business School

  6. Select Course: Course Fee for MCA

  7. Student Name: Enter your name

  8. Enter your Student Email ID

  9. Enter your Contact number

  10. Amount : Enter 2000 Rs

  11. Click Proceed for payment

Another Payment Option

How to reach venue?

Inmantec Institutions

Earlier Events

Year 2010 - Open Source seminar

Post event report-2010

Subpages (1): Resources
Inmantec Institutions,
Mar 4, 2017, 9:12 AM