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- Installing Python and Anaconda
- Course Resources
- Opening Jupyter Notebook
- This is a milestone!
- Introduction to Jupyter
- Arithmetic operators in Python: Python Basics
- Strings in Python: Python Basics
- Lists, Tuples and Directories: Python Basics
- Working with Numpy Library of Python
- Working with Pandas Library of Python
- Working with Seaborn Library of Python
Quick Facts
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|---|---|---|---|---|
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course and certificate fees
Fees information
₹ 3,499
certificate availability
Yes
certificate providing authority
Udemy
The syllabus
Setting up Python and Python Crash Course
Machine Learning Basics
- Introduction to Machine Learning
- Building a Machine Learning Model
Maximum Margin Classifier
- Course flow
- The Concept of a Hyperplane
- Maximum Margin Classifier
- Limitations of Maximum Margin Classifier
Support Vector Classifier
- Support Vector classifiers
- Limitations of Support Vector Classifiers
- Quiz
Support Vector Machines
- Kernel Based Support Vector Machines
- Quiz
Creating Support Vector Machine Model in Python
- Regression and Classification Models
- The Data set for the Regression problem
- Importing data for regression model
- Missing value treatment
- Dummy Variable creation
- X-y Split
- Test-Train Split
- More about test-train split
- Standardizing the data
- SVM based Regression Model in Python
- The Data set for the Classification problem
- Classification model - Preprocessing
- Classification model - Standardizing the data
- SVM Based classification model
- Hyper Parameter Tuning
- Polynomial Kernel with Hyperparameter Tuning
- Radial Kernel with Hyperparameter Tuning
Appendix 1: Data Preprocessing
- Gathering Business Knowledge
- Data Exploration
- The Dataset and the Data Dictionary
- Importing Data in Python
- Univariate analysis and EDD
- EDD in Python
- Outlier Treatment
- Outlier Treatment in Python
- Missing Value Imputation
- Missing Value Imputation in Python
- Seasonality in Data
- Bi-variate analysis and Variable transformation
- Variable transformation and deletion in Python
- Non-usable variables
- Dummy variable creation: Handling qualitative data
- Dummy variable creation in Python
- Correlation Analysis
- Correlation Analysis in Python
- Quiz
Bonus Section
- The final milestone!
- Bonus Lecture
Articles
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