#MLDSDAY

#MLDSday is Agile Testing Alliance’s community initiative part of its Meetups to help everyone in the technology spectrum to pick up practical basics of Machine Learning and Data Science

Machine Learning and Data Science is on it’s way for being mainstream. It is one of the most sought-after skills in today’s fast changing Information Technology landscape.

The need cannot be more profoundly understood unless by going through the following article on Harvard Business Review, as Nokia is getting their entire team understand Machine learning,

“The Chairman of Nokia on Ensuring Every Employee Has a Basic Understanding of Machine Learning — Including Him”

It is really high time for all of us to also learn, understand and experience Machine Learning and Data Science and hence our community initiative #MLDSday.

#MLDSday is designed to be fully hands on and it is recommended that participants carry their own laptops. The day will begin with a small introduction about ATA Meetup followed by a detailed lab session covering basics of Python and the important libraries to cover the machine learning and data science basics.

#MLDSday PROGRAM COVERAGE

1. Introduction to Machine Learning and Data Science
2. Getting Started for MLDS DAY and lab preparation/Setup
   1. Anaconda
   2. Jupyter Notebook
   3. Google Colaborative Tool in the cloud
3. Introduction to python – Basic concepts, programming constructs and data structures and functions
   1. Data types – Int, float, bool, complex, str
   2. Modules and Packages
   3. Operators
   4. Conditional and Loops
   5. Data structures – i) List ii) Tuples iii) Set iv)Dictionary
   6. Functions
4. Pythonic Operations relevant for Machine Learning
   1. Comprehensions
   2. Lambda
   3. Map
   4. Reduce
   5. Filter
5. Understanding NumPy Library and its usage in ML/DS
6. Understanding Pandas Library and usage in ML/DS
7. Understanding Matplotlib + Seaborn Libraries and its usage in Data Visualization
8. Demo for following
   1. Exploratory Data Analysis (EDA)
   2. NLP-Text Analysis with Gensim

HARDWARE AND SYSTEM REQUIREMENTS

1. Machine with minimum 4 GB RAM on any of the following OS
2. Getting Started for MLDS DAY and lab preparation/Setup
   1. Windows
   2. MacOS
   3. Linux (Ubuntu)
3. Kindly download Anaconda 5.x with Python 3.6 or higher version from the URL as per the respective OS

https://www.anaconda.com/download/