Data Science

A course repo for projects related to data science. In this course I had the opportunity to learn more about:

Introduction to big data analytics, machine learning, understanding data type, tabular data and unstructured data, Python and visualization techniques
Introduction to popular techniques to handle complex high-dimensional data, including categorical data, time-series data, text data, and image data.
Introduce machine learning models including linear models, Kernel methods, Tree-based models, bagging and boosting and how it balances the bias/variance and controls the model complexity.
Modern computation architecture for big data, introduction to distributed computing, data parallelism, model parallelism, design parallel algorithms for machine learning applications, brief tutorial of Apache spark.
How to use the model for decision analysis and support with the statistical Decision Theory by including the Minimax or Bayesian decision rule. Introduce model Agnostic interpretation techniques such as SHAP values for better model interpretation.

A list projects we completed in this course and can be found in this repo are as follows :

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
Airline Tweet classification.ipynb		Airline Tweet classification.ipynb
Click-Through Rate prediction.ipynb		Click-Through Rate prediction.ipynb
Heart_Disease_Classification.ipynb		Heart_Disease_Classification.ipynb
Intro to Numpy and Data Science.ipynb		Intro to Numpy and Data Science.ipynb
Introduction to Python.ipynb		Introduction to Python.ipynb
Kernel Regression.ipynb		Kernel Regression.ipynb
README.md		README.md
Regression and cross validation.ipynb		Regression and cross validation.ipynb
Ridge and Lasso Regression.ipynb		Ridge and Lasso Regression.ipynb
Small MNIST Data classification.ipynb		Small MNIST Data classification.ipynb
Tweets.csv		Tweets.csv
Weighted Ridge Regression Optimization and Gradient Descent.ipynb		Weighted Ridge Regression Optimization and Gradient Descent.ipynb
heart_disease.csv		heart_disease.csv
test.csv		test.csv
train.csv		train.csv

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