Machine Learning @ Allcargo

A hands-on skill building program for senior managers

Faculty: Sujit Bhattacharyya Language: English

Workshop @ Allcargo Logistics, Mumbai

A four day Machine Learning Bootcamp was conducted in All Cargo Logistics, Mumbai for the leadership and senior managers of the organization. At the end of the 30 hour program every participant became eligible for a Green Belt certification , to be awarded after submission of all project work

The objective of the workshop was:

  • To create the awareness of data analytics and application of machine learning processes to enhance the decision making ability of the organization.
  • Basics of Python and Machine Learning algorithms - including advanced topics like Recommender systems, Artificial Neural networks, Natural language processing and Time Series Analysis
  • Exposure to a range of Business problems - with coding examples of solving problems using Machine Learning algorithms

In addition to the learning sessions, the participants brought their own problems and datasets to solve and came through with great results and insights.

A team from CL Educate, led by Mr Sujit Bhattacharyya (Chief Innovation Officer, CL Educate) conducted the sessions. Dr Subhrajit Bhattacharyya and Mr Ayush Joshi were co-faculty of the program.

In total, 23 participants, comprising top management personnel from a number of different verticals attended the workshop.

Session Details - Four Day Plan

DAY 1

  • Introduction to Machine Learning
  • Introduction to Python and the Jupyter environment
  • Handling data with Pandas
  • Data visualization with Matplotlib
  • Regression: Theory & Demo
  • Hands-on linear regression
  • Homework on regression

DAY 2

  • Polynomial regression
  • Overfitting and underfitting
  • Classification: Theory & Demo
  • Hands-on classification
  • Recommendation systems: Theory & Demo
  • Hands-on recommendation systems
  • Design thinking - How to Frame Problems
  • Assignment on design thinking

DAY 3

  • Innovation and design thinking approach to solve problems
  • K-Means clustering: Theory and demo
  • Hands on K-Means clustering
  • Natural language processing
  • Facial recognition, personality and sentiment detection
  • Assignment work time
  • Artificial Neural Networks: theory and demo

DAY 4

  • Voice bots: Alexa skill development
  • Time series: theory and demo of Stock price Prediction
  • Support vector Machines - Classifying Geo locations
  • Project work time
  • Presentations for projects
  • Closure

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