Machine Learning using Python Course Perspective
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Module 1 - Data Science – An Overview
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Module 2 - Environment setup and Python libraries for Data Science
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Module 3 - Data Preprocessing – Operations, ETL
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Module 4 - Pandas Series, Dataframes, Reshaping, Grouping
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Module 5 - Descriptive Statistics, Reindexing, Sorting, Missing Data
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Module 6 - Data Modeling – Data Sets, Features, Training, Testing
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Module 7 - Regression – Linear, Non Linear Regression, sklearn
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Module 8 - Overfit, Underfit, Bias, Variance, Optimization, SGD
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Module 9 - Supervised Learning - Bayesian Classification
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Module 10 - Backpropagation Neural Network using python
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Module 11 - Decision Tree Algorithms, Entropy, Information Gain
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Module 12 - Support Vector Machines and Hyperplanes
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Module 13 - Hyperparameter Tuning in Classification
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Module 14 - Performance Parameters – Accuracy, Precision, Recall
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Module 15 - Ensembling – Boosting, Bagging, Rainforest, Adaboost
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Module 16 - Unsupervised Learning – Kmeans Clustering
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Module 17 - Different Clustering Algorithms
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Module 18 - Data Visualization – Plotting Lines, Curves
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Module 19 - Matplotlib, Seaborn Libraries
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Module 20 - Reinforcement Learning – Basics, Markov process
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Module 21 - Reinforcement Learning Scenarios
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Module 22 - Active and Passive Reinforcement Learning
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Module 23 - Different Reinforcement Algorithms
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Module 24 - Q-Learning Analysis
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Module 25 - Self Driving Cab using OpenAI Gym
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Module 26 - Training Bot using reward and Utility
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Module 27 - Capstone Project - Industrial Usecases for Machine Learning
Machine Learning using Python Course Project
- The environment setup for Machine Learning 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 using Python Training Features
On line Live Sessions
50 Hours of Online Live Classes
Weekend Class : 17 sessions of 3 hours each
Weekday Class : 25 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 50 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 Master in Machine Learning using Python
Machine Learning using Python
Online Classes
Weekend Batch [Sat & Sun]
3 Months | 10 WEEKS | 5 hours per week | FILLING FAST
1 Course | 27 Modules | 50 + 50 practice hrs | online
Course Price | Students : Rs. 10000 | Working Professionals : Rs. 20000
Weekday Batch [Mon, Wed & Fri (OR) Tue, Thu & Sat]
3 Months | 10 Weeks | 5 hours per week | FILLING FAST
1 Course | 27 Modules | 50 + 50 practice hrs | online
Course Price | Students : Rs. 10000 | Working Professionals : Rs. 20000