Instructor LED Online CP-MLDS (Certified Professional - Machine Learning and Data Science)

Learn Machine Learning and Data Science with DevOps++ Alliance.

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

Dates and Timing :  Following 4 days for ONLINE sessions

1.  Sat 4th May, 2019    (2 PM - 6 PM IST)
2.  Sun 5th May, 2019   (2 PM - 6 PM IST)
3.  Sat 11th May, 2019   (2 PM - 6 PM IST)
4.  Sun 12th May, 2019  (2 PM - 6 PM IST)

  Location: ONLINE

Time: 2:00 pm - 6:00 pm IST

CP-MLDS (Machine Learning and Data Science) program v1.3 released

Here are the summary of the New changes in CP-MLDS V1.3, Please refer below for further details

https://www.linkedin.com/pulse/cp-mlds-machine-learning-data-science-program-v13-alliance/

What's New in Version 1.3 of CP-MLDS

1. The CP-MLDS program has introduced now Instructor Led ONLINE training that allows participants can Join from any part of the GLOBE.
2. The Online training schedule is convenient for working professionals from any Geography.
3. The CP-MLDS learning structure is now extended learning structure with the motto – practice leads to perfection.

4. The CP-MLDS program has now increased the learning coverage by adding following modules:

a.    Regularisation Techniques to Linear Regression Module

b.    Decision Tree classification Technique

c.    Clustering techniques to Unsupervised Machine Learning

d.    Natural Language Processing (NLP)

5. CP-MLDS certification is now an open certification

6. The CP-MLDS certification exam can be taken up from anywhere in the world  

How is it useful?

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

Key Highlights of this program: 

• 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) 

• Supervised ML - Linear Regression
  (Solving a Regression problems Using scikit-learn for Machine Learning. Understanding basic concepts of linear regression,cost function, Gradient Descent Algorithm, its application on a data set, Performance Metrics for linear regression model, Regularisation Techniques using Lasso Regression and Ridge Regression)

• 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 )

• Classification Using Decision Trees
  (Understanding Decision tree technique for classification problems, Project by applying Decision Tree Techniques and comparing the performance with Logistic Regression techniques)

• 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 )

Pre requisite

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.

For more details please refer the following URL's

http://cpmldsf.devopsppalliance.org/

http://devopsppalliance.org/cp-mldsf.html

About DevOps++ Alliance

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

Cancellation and Refunds

In case of the event getting cancelled or participants deciding to cancel their registrations the refunds will be processed based on the following refund policy

http://ataevents.agiletestingalliance.org/refund-policy.html