Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence. Lot of opportunities is out there in field of ml and AI in India. People already using ml in field of image processing, pattern analysis, marketing, data analysis having pretty good future in India. The Machine Learning workshop provides the participants technical training on the concepts and Machine Learning algorithms to develop the code. Participants will also learn to use different Python libraries. Instruction cum aided with live projects which will allow students to grasp concepts of the complete machine learning development life-cycle.
Upon successful completion of the program, the candidate will
- Have definite knowledge on accessing the Open Source Cloud platforms
- Gain a deep thrust to the Machine Learning Algorithms – Program-specific & from the coding point
- Work on the Projects – Acquire Practical Knowledge and Industry Demands
What’s more? The Candidate will be Industry Ready!
- MACHINE LEARNING PROCESS AND TYPES OF LEARNING
Introduction to the Concept of Machine Learning, participants come to the machine learning process and know the types of machine Learnings with suitable examples.
|1||Introduction to Machine Learning|
|2||Overview of Machine Learning|
|3||Real time uses of machine learning|
|4||Machine learning process|
|5||Supervised learning with example|
|6||Unsupervised learning with example|
- Python Programming
Python a Powerful language and user friendly and its mostly used for most of the applications like Machine Learning, Deep Learning, Internet of Things, Block Chain. This session helps the participants to completely work on Python Programming and python libraries/ packages which are mainly used in the machine learning.
|1||Basics of python programming|
- Machine Learning Algorithms
Machine learning (ML) is the study of computer algorithms that improve automatically through experience. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as “training data”, in order to make predictions or decisions without being explicitly programmed to do so.
|1||Decision Tree classifier, Support vector machine classifier|
|2||Random forest classifier, Logistic Regression classifier|
|3||Working with Unlabeled Data (Unsupervised Learning)|
|4||Usage Unstructured data Predicting Elbow Method and K -means Algorithm|
Projects & Assignments
Practical 1: Data collection.
Practical 2: Data analysis.
Practical 3: Use of python libraries
Practical 4: Use of algorithms
Practical 5: how to predict the result
The Program is a mix of Theory sessions, Quizzes, Hands-on Sessions, Liver Interaction with Experts, Assignments, and Practical Exercises. Maximum Impetus is given to Hands-on Sessions so as to enable the participants with the maximum knowledge transfer and satisfaction.
The ratio of the theory, practical sessions will be 30:70.
- Project-Based Learning Experience
- Certificate of PANTECH
- Proctored Assignments & Tasks validated by Instructor
- Interactive Live Session
- Mentor Access to Clarify your Queries
- Access to Recorded Video of the Sessions, Codes & PPTs at any instance of time
- Access to Knowledge FORUM – PANTECH