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Machine Learning With Python - 18th & 19th August 2017

GENERAL EVENT
Location : CSI Mumbai Chapter
From Date : 18-8-2017 To Date : 19-8-2017
Event Time 9:30:AM    

Speakers

 

Computer Society of India, Mumbai Chapter

Presents

Two days hands on workshop

Machine Learning With Python

Date: 18th & 19th August 2017, 9:30 am to 5:30 pm, Mumbai

Introduction

In recent times, there has been a sudden rise in demand of Machine Learning. The prime reason behind this surge is the data driven and techno focused approaches that majority of organizations have willingly embraced. The Machine Learning Program is designed to impart an in-depth training in the concepts and techniques of learning algorithms. The module is designed to help participants learn machine learning techniques and algorithms which can be applied using Python. The training program will be entirely based on used cases which will give a hands-on learning experiment.

Course Contents

Python Introduction

  1. Python Introduction
  2. Python History
  3. Python Data types
  4. Operands

Conditional statements

    1. If condition
    2. if else conditions
    3. elif conditions
    4. Nested if conditions

Loops

    1. xrange function
    2. for loop
    3. while loop
    4. in clause in loops
    5. break statements
    6. continue statements

Functions

    1. Defining functions
    2. Function with return values
    3. Function with arguments
    4. Calling functions
    5. Recursion

Classes and Objects

    1. Creating classes
    2. Variables of class
    3. Methods of class
    4. Using classes

Modules and Packages

    1. Code reusabilty
    2. Import statements
    3. Packages
    4. Modules

Data Science Overview

    1. Introduction to Data Science
    2. Different Sectors Using Data Science
    3. Purpose and Components of Python
    4. Key Takeaways

Mathematical Computing with Python (Numpy) 

    1. Introduction to Numpy
    2. Creating and Printing an ndarray
    3. Class and Attributes of ndarray
    4. Basic Operations
    5. Copy and Views
    6. Mathematical Functions of Numpy
    7. Case Study

Scientific Computing with Python (Scipy)

    1. Introduction to SciPy
    2. SciPy - Integration and Optimization
    3. Case Study

Data Manipulation with Pandas

    1. Introduction to Pandas
    2. Understanding DataFrame
    3. View and Select Data Demo
    4. Missing Values
    5. Data Operations
    6. Case Study

Machine Learning Concepts

    1. Machine Learning Approach
    2. Supervised Learning Models
  1.                                                                i.      Linear Regression
  2.                                                              ii.      Logistic Regression
  3.                                                             iii.      SVM
  4.                                                                i.      Clustering
  5.                                                              ii.      Association
    1. Unsupervised Learning Models
    1. Case Study

Data Visualization in Python using Matplotlib

    1. Introduction to Data Visualization
    2. Knowledge Check
    3. Line Properties
    4. (x,y) Plot and Subplots
    5. Knowledge Check
    6. Types of Plots
    7. Case Study

Objectives

Packed with machine learning techniques and used cases, this course provides an in-depth knowledge of machine learning using python. After the program, you will be:

  • Have thorough knowledge on Python
  • Implement machine learning techniques on real life business problems
  • Build predictive models like Regression and Logistic Regression
  • Will be able to apply cluster algorithms

Pre-requisites

Who Should Attend

A prior knowledge of basic algebra and calculus may be helpful. (A refresher will be done on the same).

 

We would recommend this path strongly for professionals in the following roles:

  • IT professionals
  • Banking and Finance professionals
  • Marketing Managers
  • Supply Chain Network Managers
  • Beginners in in data analytics domain
  • Students in UG/ PG Analytics Programs
  • Professors

Faculty Profile

Mr. Amitendra Kumar

 

PERSONAL SUMMARY

Amitendra holds an MBA degree from ISCS, Pune. He has 10 years of rich corporate experience in training delivery and analytics product development. He has worked with HDFC bank, Redwood Associates and Analytics Training Institute. He is extremely passionate about analytics and statistical concepts. He has experience of more than 3000 Hrs in training corporate organisations and individuals on different analytical tools such as SAS, Hadoop, R etc. He has also delivered training on Analytics concepts such as forecasting methodologies and segmentation techniques.

 

He has significant experience in developing cutting edge analytics solutions using statistical/ quantitative tools and techniques. The major clientele includes Standard Chartered Bank, MindTree, Genpact, HP, Creamline Dairy Pvt Ltd (Jersey), Jasper Technologies, ACT TV, Beam Tele, Orient Cements, Yash Technologies, GDF SUEZ, TATA Beverages, Doodla Dairy, Meenakshi Energies Pvt Ltd, NIT Warangal, Amex

 

TRAININGS CONDUCTED

Major clients include:

 

HDFC Bank, HP, Standard Chartered Bank, ACT TV, Beam, IBM, Genpact, Holy Merry Business School, Creamline Dairy Products Pvt Ltd, Dialuz Online Ad Services Private Limited, Orient Cements, HP, Mind Tree, GDF Suez, WaterHealth, Yash Technologies, Tata Beverages, Doodla Dairy, Cognizant

 

As part of Redwood Associates, He has conducted workshops at Redwood’s training lab for senior level management and personnel from different organisations like Genpact, Wipro, HP etc.

 

EDUCATIONAL QUALIFICATION

MBA (IT & Marketing): Has completed MBA in IT and Marketing from Indira School Of Career Studies, Pune. Has dual specialization in IT and Marketing.

BSC (Mathematics): Has done graduation from St Andrews College, Gorakhpur with 100% marks in Mathematics.

AREA OF EXPERTISE

Statistical Modeling

SAS OLE 9.4

Machine Learning

Python

R Programming

 

PERSONAL SKILLS

System Thinking

Problem Solving

Analytical Skills

 

Contact for Registration

Registration Fees /Terms and Conditions

Harsh Mane @

CSI Mumbai Chapter

E-217, 2nd Floor, Floral Deck Plaza, MIDC, Near Sunrise Tower, Andheri East, Mumbai – 400093

Tel:022 28235476 / 28235548 / 28235546

Mobile  9819089527,

Email: sunita@events-csi.com / harsh@csimumbai.org

info@csimumbai.org

http://www.csimumbai.org

-          CSI Members Rs. 10620/-Per Participant  including GST

-          Non CSI Member Rs. 12980/- Per Participant including GST

-          Group discount is available for minimum 5 number of registration.

-          The cheque / DD in favour of "CSI Mumbai Chapter" Payable at Mumbai.

-          The mentioned fees are inclusive of all taxes and charges.

-          Registration fees covers courseware, lunch, Tea/Coffee and CSI Certificate.

-          Non CSI Member can avail discount in fees by becoming member of the society for details visit http://www.csi-india.org

-          Payment is to be made in favour of “CSI Mumbai Chapter”, A/c No. 10606576641 payable at State Bank of India, MIDC, Andheri East, Branch, Mumbai-400 093, RTGS/NEFT Code: SBIN0007074, (All Major VISA / Master  Credit / Debit   cards will be accepted.

Participation only through advance registration, (Batch size 20 participants only)

Note – Out station participants need to confirm at least 5 days prior to the commencement of the training

Disclaimer:

This mail is not spam mail and is a genuine communication from Computer Society of India (CSI) Mumbai Chapter to its members and other IT Professionals to inform them about the forthcoming event. If you feel that this mail should not have been sent to you or you want similar communication to be sent to your different e-mail address, please reply to this mail and specify it in the message

     

 


Normal Event Charge : 12980 Rs/-
Event Charge For Early Bird : 12980 Rs/-
Event Charge for Student Member : 10620 Rs/-
Event Charge for CSI Member : 10620 Rs/-
Event Early Bird Days Date : 17-8-2017
Open For : All
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