Machine Learning Technologies
Machine Learning Developer Program Perspective
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Introduction to Machine Learning
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ML Environment setup
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Basics of Feature Enineering
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Overview of Data Analytics
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Real time Data sets and Balancing
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Data Preprocessing Techniques using Python
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Data Transformations Techniques using Python
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Data Visualization - charts, graphs
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Descriptive Data Analytics
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Left and Right Skewness, Kurtosis
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Exploratory Data Analysis Techniques using Python
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Capstone Project - Industrial Usecases from Feature Engineering
Course 2 : Supervised Learning (Regression, Classificatin) Curriculum
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Univariate and Multivariate Linear Regression
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Case studies of Linear Regression using Python
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Lasso, Ridge and Logistic Regression
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Regularization in various Regressions
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Bayesian Learning using Pyhton
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Decision Tree Induction -ID3
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Decision Tree Induction using Python -C4.5, CART
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Multilayer Backpropagation Neural Network - Part I
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Multilayer Backpropagation Neural Network using Python- Part II
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Linear and Nonlinear Support Vector Machines
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Performance Measures of Classification
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Capstone Project - Industrial Usecases from Supervised Learning
Course 3 : Unsupervised Learning (Clustering) Curriculum
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Introduction to Clustering using python
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Different Distance Measures
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K-Means Clustering
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K-Medoids Clustering
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DB SCAN Clustering
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Gaussian Mixture Models based Clustering using Python
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Self-organising Feature Map based Clustering
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Clustering using Unsupervised Neural Networks
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Hierarchical Clustering
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Performance Measures of Clustering - Part I
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Performance Measures of Clustering - Part II
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Capstone Project - Industrial Usecases for Unsupervised Learning using Python
Course 4 : Reinforcement Learning Curriculum
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Introduction to Reinforcement Learning using Python
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Reinforcement Learning Environment setup using Python
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Q-Learning introduction and Q Table
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Q Algorithm, Agent and Q-Learning Analysis
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Q-Learning In Our Own Custom Environment
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Self Driving Cab using OpenAI Gym
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Training and Evaluating the bot using reward and Utility functions in python
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Model Diagnostics in Reinforcement Learning
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Reinforcement Learning Scenarios - Part I
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Reinforcement Learning Scenarios - Part II
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Data Visualization for Reinforcement Learning using Python
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Capstone Project - Industrial Usecases for Reinforcement Learning using Python
Machine Learning Developer Program Project
- The environment setup for "Machine Learning Developer Course Certification Training will have all the necessary software that will be required to execute your practicals.
- You will do your Assignments/Case Studies using Machine Learning with Python
- This course comprises of 20 case studies that will enrich your learning experience.
- You also have 2 mini projects and 1 major project that will enhance your implementation skills.
- The progress of your programming assignments, case studies, mini projects and major project will be montiored in our cloud environment.
Machine Learning Developer Training Features
On line Live Sessions
36 Hours of Online Live Classes
Weekend Class : 12 sessions of 3 hours each
Weekday Class : 18 sessions of 2 hours each
Real-life Case Studies
Live project based on any of the selected use cases, involving implementation of Restful APIs using Flask
Assignments
Every class will be followed by practical assignments which aggregates to minimum 40 hours.
Lifetime Access
Lifetime access to Learning Management System (LMS) which has class presentations, quizzes, installation guide & class recordings.
24 x 7 Expert Support
Lifetime access to our 24x7 online support team who will resolve all your technical queries, through ticket based tracking system.
Certification
Towards the end of the course, you will be working on a project. Glosys Learning certifies you as a Machine Learning Developer
Testimonial Reviews
Sai Venkatesh
Software Engineer, Samsung, ChennaiAll topics were very well explained by the trainer. Trainer was excellent in showing different case studies of machine learning demos through in-depth knowledge and skills. It was really an awesome experience. Thanks so much Glosys learning for your excellent service.
Kiran
Software Engineer, Codaglobal, ChennaiAs someone new to the field, this machine learning course offered by glosys made complex concepts incredibly accessible. The step-by-step Python projects helped me build real-world skills quickly. I now feel confident building my own classification models from scratch!