Machine learning Engineer Technologies
Machine learning Engineer Perspective
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Introduction to Data Science with Python
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Data Science Environment setup
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Basics of Python
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Data structures in Python
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Preprocessing Data using Pandas
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Group Manipulation & Data Reshaping
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Sklearn libraries for Data Science
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Linear and NonLinear Regression Models
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Model Diagnostics
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Classification & Clustering
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Matplotlib for Data Visualization
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Capstone Project - Industrial Usecases from Data Science
Course 2 : Natural Language Processing using Python
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Introduction to NLP using python
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NLP using python Environment setup, Anaconda, Jupyter
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Python Packages, Basics of NLP
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Word and Sentence Tokenization
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Stop word, stemming
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lemmatization, POS Tagging
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Chunking, Chinking
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Named Entity Recognition
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Preprocessing Corpus
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Text Classification, Clustering
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Text Summarization
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Capstone Project - Industrial Usecases for NLP using python
Course 3 : Deep Learning with Tensorflow Curriculum
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Introduction to Deep Learning with Tensorflow
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Deep Learning Environment Setup
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Tensorflow Packages, Basics of Deep Learning
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Data structures in Tensorflow
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Reading Data using Tensors, Tensorflow Functions
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Convolutional Neural Network Architectures
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Data sets using CNN based Tensorflow
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VGGNet, GoogleNet, Resnet
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Recurrent Neural Networks
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LSTM, GRU Models, Auto Encoder
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Transfer Learning using Tensorflow
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Capstone Project - Industrial Usecases for Deep Learning with Tensorflow
Course 4 : Recurrent Neural Networks for Text using PyTorch Curriculum
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Introduction to RNN for Text using PyTorch
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Deep Learning Environment Setup
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PyTorch Packages
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Basics of NLP and Deep Learning
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Python NLTK Packages for NLP
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Data structures in PyTorch
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Reading Data using Tensors
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PyTorch Functions
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Recurrent Neural Network Architectures
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LSTM and GRU Models, Auto Encoder
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Transfer Learning using PyTorch
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Capstone Project - Industrial Usecases for RNN for Text using PyTorch
Machine learning Engineer Project
- The environment setup for our Machine learning Developer Certification Training using Python will have all the necessary software that will be required to execute your practicals.
- You will do your Assignments/Case Studies using Jupyter Notebook
- 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 Engineer 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 Machine learning using Python
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 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, ChennaiAll topics were very well explained by the trainer. Trainer was excellent through in-depth knowledge and skills. It was really an awesome experience. Thanks so much Glosys learning for your excellent service.
Vijay Vignesh
Dell, ChennaiAll topics were very well explained by the trainer. Trainer was excellent through in-depth knowledge and skills. It was really an awesome experience. Thanks so much Glosys learning for your excellent service.
Akhil Krishnan
Software Engineer, TCS, HyderabadAll topics were very well explained by the trainer. Trainer was excellent through in-depth knowledge and skills. It was really an awesome experience. Thanks so much Glosys learning for your excellent service.
Machine learning Engineer
Online Classes
Weekend Batch
5 Months | SAT & SUN (20 WEEKS) | 8 hours per week | FILLING FAST
4 Courses | 120 Modules | 160 hrs | online
Course Price : Rs. 40000 ENROLL NOW
Weekday Batch
4 Months | 10 hours per week | FILLING FAST
Option 1: MON, WED & FRI (16 Weeks) OR Option 2 : TUE, THU & SAT (16 Weeks)
4 Courses | 120 Modules | 160 hrs | online
Course Price : Rs. 40000 ENROLL NOW