CP-ML & DS Foundation stands for “Certified Professional – Machine Learning and Data Science Foundation” certification prepared and honored by “Agile Testing Alliance”.
The course is applicable for all roles and knowledge, experience & certification is consciously designed for all those who want to learning practical Machine learning and Data Science
Details of the Program
Date: 14th - 16th December 2018
Location: Bangalore
Time: 9:30 a.m to 6:00 p.m
Here are the summary of the New changes in CP-MLDS V1.1, Please refer below for further details
https://www.linkedin.com/pulse/cp-mlds-machine-learning-data-science-program-v11-alliance/
The CP-MLDS program has now increased the learning coverage by adding two modules, the added modules are:
a. Clustering
b. Natural Language Processing (NLP)
The CP-MLDS learning structure is now extended learning structure with the motto – practice leads to perfection.
The CP-MLDS exam now can be taken up within 15 working days after the training is completed.
CP-MLDS certification is now an open certification
The CP-MLDS certification exam can be taken up from anywhere in the world
Machine learning is based on algorithms that can learn from data without relying on rules-based programming
Machine learning and Data science need has increased multifold in past few years and would keep on increasing. At the same time there is a dearth of experienced professionals who know Machine learning and Data Science.
This program addresses two basic needs
a) Practical tool based Machine learning and Data Science exposure for every working professional
b) Allow working professionals to acquire this knowledge in the most agile manner
The World of Machine Learning
(ML application in various industries, Types of ML, Maths refresher : advanced stats, probability, calculus and algebra)
Setting up Environment for Machine Learning
(Anaconda, Jupyter Notebook, Python introduction, Numpy, Pandas, Matpotlib, seaborn and relevant exercises)
Exploratory Data Analysis
(Types of Data, pre-processing of data, Handling missing data and outliers, , boxplot to visualize data, visualizing correlation between features)
Simple and Multiple Linear Regression
(Understand maths and relevant concepts for Linear Regression, cost function, Gradient Descent Algorithm, performance measures for Regression, Hands on Exercises Using scikit-learn for linear regression on a data set)
Classification using Logistic Regression (LR)
(understand difference between classification and regression, Understanding Sigmoid function and maths for Logistic Regression, Hands on Exercise for classification problem with Logistic Regression using scikit-learn, Performance measures for classification like confusion matrix, precision, Recall etc )
Introduction to Clustering (Unsupervised Learning)
(understand unsupervised ML problem, Understanding Clustering techique, Types of clustering, understanding k-means clustering algorithm and its implementation using sklearn )
Introduction to NLP (Natural Language Processing)
(understand NLP, Application areas of NLP, Understand preprocessing and terminology used for NLP using NLTK library )
There are no pre-requisites for this certification program except having some prior knowledge of any programming language and basics of mathematics and statistics. Program is Python driven and having prior knowledge of Python would be an advantage.
http://cpmldsf.devopsppalliance.org/
http://devopsppalliance.org/cp-mldsf.html
DevOps++ is an alliance of thought leaders from Agile, DevOps, IoT, Machine Learning, Industry 4.0, Big Data etc. The intent is to keep up with continuously evolving technology spectrum and setting an enterprise grade learning and certification roadmap.
Agile Testing Alliance which is a non-profit community and was formed by industry thought leaders in 2013 to grow agile and agile testing awareness is force behind this agility driven idea.
Read more at : http://devopsppalliance.org/