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This course introduces the fundamental techniques for data science engineering and machine learning.
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coursework-data-science-engineering-methods's Introduction
Coursework-Data-Science-Engineering-Methods
This course introduces the fundamental techniques for data science engineering and machine learning.
ASSIGNMENT 1 : ML DATA CLEANING AND FEATURE SELECTION
Open Project On Github
Concepts covered:
- Data cleaning
- Null Checks
- Imputation Methods
- Dealing with Outliers
- Feature Selection
- Normalization
- Data Modeling
- Training and Testing data
- Validating Model
- Evaluating Model
ASSIGNMENT 2 : H2O AutoML
Open Project On Github
Concepts covered:
- LIFE EXPECTANCY PREDICTION WITH H2O AUTOML
- CLEANING THE DATA COLUMNS NAMES
- EXPLORATORY DATA ANALYSIS (EDA)
- DATA PREPROCESSING
- DATA VISUALIZATION WITH DATAPREP
- MODEL EVALUATION
- MODEL EXPLAINABILITY IN AUTOML H2O
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