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Several mini machine learning projects related to Udacity's Intro to Machine Learning free course translated from Python 2 to Python 3

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Introduction to Machine Learning

This repo consists of several mini machine learning projects related to Udacity's Intro to Machine Learning free course. The projects are translated from Python 2 to Python 3.

Projects

Terrain Classification

  1. Naive Bayes (NB) HTML Preview / Jupyter Notebook
  2. Support Vector Machines (SVM) HTML Preview / Jupyter Notebook
  3. Decision Tree (DT) HTML Preview / Jupyter Notebook
  4. k-Nearest Neighbors (kNN) HTML Preview / Jupyter Notebook

Naive Bayes (NB) Support Vector Machines (SVM) Decision Tree (DT) k-Nearest Neighbors (kNN)

Email Classification

  1. Naive Bayes (NB) HTML Preview / Jupyter Notebook
  2. Support Vector Machines (SVM) HTML Preview / Jupyter Notebook
  3. Decision Tree (DT) HTML Preview / Jupyter Notebook
  4. Enron Emails Text Data Preprocessing HTML Preview / Jupyter Notebook

Regression

  1. Enron Dataset Investigation HTML Preview / Jupyter Notebook
  2. Simple Linear Regression (SLR) HTML Preview / Jupyter Notebook
  3. Outliers Removal HTML Preview / Jupyter Notebook

Simple Linear Regression (SLR) Simple Linear Regression (SLR)

Outliers Removal Outliers Removal

Clustering

  1. K-Means Clustering HTML Preview / Jupyter Notebook

K-Means Clustering K-Means Clustering

K-Means Clustering K-Means Clustering

Other

  1. Principal Components Analysis (PCA) HTML Preview / Jupyter Notebook
  2. Evaluation Metrics HTML Preview / Jupyter Notebook

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Several mini machine learning projects related to Udacity's Intro to Machine Learning free course translated from Python 2 to Python 3

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