Skip to content
/ ml-introduction Public

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

0 stars 2 forks Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

ksatola/ml-introduction

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

49 Commits
.gitattributes
.gitattributes
 
 
01_NaiveBayes.html
01_NaiveBayes.html
 
 
01_NaiveBayes.ipynb
01_NaiveBayes.ipynb
 
 
01_NaiveBayes.model
01_NaiveBayes.model
 
 
02_NaiveBayes2.html
02_NaiveBayes2.html
 
 
02_NaiveBayes2.ipynb
02_NaiveBayes2.ipynb
 
 
02_NaiveBayes2.model
02_NaiveBayes2.model
 
 
02_NaiveBayes2.png
02_NaiveBayes2.png
 
 
03_SVM.html
03_SVM.html
 
 
03_SVM.ipynb
03_SVM.ipynb
 
 
04_SVM2.html
04_SVM2.html
 
 
04_SVM2.ipynb
04_SVM2.ipynb
 
 
04_SVM2.model
04_SVM2.model
 
 
04_SVM2.png
04_SVM2.png
 
 
05_DecisionTree.html
05_DecisionTree.html
 
 
05_DecisionTree.ipynb
05_DecisionTree.ipynb
 
 
05_DecisionTree.model
05_DecisionTree.model
 
 
05_DecissionTree.html
05_DecissionTree.html
 
 
05_DecissionTree.ipynb
05_DecissionTree.ipynb
 
 
06_DecisionTree2.html
06_DecisionTree2.html
 
 
06_DecisionTree2.ipynb
06_DecisionTree2.ipynb
 
 
06_DecisionTree2.model
06_DecisionTree2.model
 
 
06_DecisionTree2.png
06_DecisionTree2.png
 
 
08_KNN2.html
08_KNN2.html
 
 
08_KNN2.ipynb
08_KNN2.ipynb
 
 
08_KNN2.png
08_KNN2.png
 
 
10_EnronDataset.html
10_EnronDataset.html
 
 
10_EnronDataset.ipynb
10_EnronDataset.ipynb
 
 
11_SimpleLinearRegression.html
11_SimpleLinearRegression.html
 
 
11_SimpleLinearRegression.ipynb
11_SimpleLinearRegression.ipynb
 
 
11_SimpleLinearRegression.model
11_SimpleLinearRegression.model
 
 
11_SimpleLinearRegression1.png
11_SimpleLinearRegression1.png
 
 
11_SimpleLinearRegression2.png
11_SimpleLinearRegression2.png
 
 
11_SimpleLinearRegression3.png
11_SimpleLinearRegression3.png
 
 
12_OutliersRemovalRegression.html
12_OutliersRemovalRegression.html
 
 
12_OutliersRemovalRegression.ipynb
12_OutliersRemovalRegression.ipynb
 
 
12_OutliersRemovalRegression1.png
12_OutliersRemovalRegression1.png
 
 
12_OutliersRemovalRegression2.png
12_OutliersRemovalRegression2.png
 
 
13_K-MeansClustering.html
13_K-MeansClustering.html
 
 
13_K-MeansClustering.ipynb
13_K-MeansClustering.ipynb
 
 
13_K-MeansClustering1a.png
13_K-MeansClustering1a.png
 
 
13_K-MeansClustering1b.png
13_K-MeansClustering1b.png
 
 
13_K-MeansClustering2a.png
13_K-MeansClustering2a.png
 
 
13_K-MeansClustering2b.png
13_K-MeansClustering2b.png
 
 
14_EnronEmailsPreprocessing.html
14_EnronEmailsPreprocessing.html
 
 
14_EnronEmailsPreprocessing.ipynb
14_EnronEmailsPreprocessing.ipynb
 
 
15_PCA.html
15_PCA.html
 
 
15_PCA.ipynb
15_PCA.ipynb
 
 
16_EvaluationMetrics.html
16_EvaluationMetrics.html
 
 
16_EvaluationMetrics.ipynb
16_EvaluationMetrics.ipynb
 
 
README.md
README.md
 
 
class_vis.py
class_vis.py
 
 
email_authors.pkl
email_authors.pkl
 
 
email_preprocess.py
email_preprocess.py
 
 
feature_format.py
feature_format.py
 
 
final_project_dataset.pkl
final_project_dataset.pkl
 
 
final_project_dataset_modified.pkl
final_project_dataset_modified.pkl
 
 
from_chris.txt
from_chris.txt
 
 
from_sara.txt
from_sara.txt
 
 
practice_outliers_ages.pkl
practice_outliers_ages.pkl
 
 
practice_outliers_net_worths.pkl
practice_outliers_net_worths.pkl
 
 
prep_terrain_data.py
prep_terrain_data.py
 
 
python2_lesson13_keys.pkl
python2_lesson13_keys.pkl
 
 
python2_lesson14_keys.pkl
python2_lesson14_keys.pkl
 
 
test_email.txt
test_email.txt
 
 
word_data.pkl
word_data.pkl
 
 
your_email_authors.pkl
your_email_authors.pkl
 
 
your_word_data.pkl
your_word_data.pkl
 
 

Repository files navigation

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

About

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

Topics

python machine-learning naive-bayes

Resources

Readme
Activity

Stars

0 stars

Watchers

2 watching

Forks

2 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages