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1. machine-learning-regression machine-learning-regression Public

   Built house price prediction model by using linear regression and k nearest neighbors algorithm. Applied machine learning techniques like ridge, lasso, and gradient descent for optimization in Python

   Jupyter Notebook 1

2. Enron-Emails Enron-Emails Public

   Built fraud detection classifiers using gaussian naive bayes and decision tress to identify POIs (persons of interests) and applied machine learning techniques such as features selection, precision…

   Python 1

3. machine-learning-classification machine-learning-classification Public

   Built classifiers using logistic regression and decision trees to classify product reviews and used machine learning techniques such as boosting, precision and recall, and stochastic gradient desce…

   Jupyter Notebook

4. openstreetmap openstreetmap Public

   Applied data munging techniques, such as assessing the quality of the data for validity, accuracy, completeness, consistency and uniformity for OpenStreetMap(OSM) data of San Jose Metro in Python. …

   Jupyter Notebook 1

5. machine-learning-case-study machine-learning-case-study Public

   Collection of machine learning application cases, such as movie recommendation system, naive bayes spam detecting models, text classification, time series prediction for stock markets etc.

   Jupyter Notebook

6. wine-quality wine-quality Public

   Using exploration data analysis (EDA) techniques to predict wine quality rating from their chemical properties. Created multivariate plots to illustrate relationships between attributes and quality…

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