GitHub - JaewonSon37/Programming_Machine_Learning

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 86 Commits
Apple Stock Data Quantile.ipynb		Apple Stock Data Quantile.ipynb
Classification with KNN Algorithm.ipynb		Classification with KNN Algorithm.ipynb
Clustering, PCA, and SVD using Term-Document Matrix.ipynb		Clustering, PCA, and SVD using Term-Document Matrix.ipynb
Distance Calculation.ipynb		Distance Calculation.ipynb
Distance and Similarity with KNN Algorithm.ipynb		Distance and Similarity with KNN Algorithm.ipynb
Ensemble Classifiers Example.ipynb		Ensemble Classifiers Example.ipynb
Ensemble Model Example - Voting, Stacking.ipynb		Ensemble Model Example - Voting, Stacking.ipynb
Example of Gradient Descent Optimization for Simple Linear Regression.ipynb		Example of Gradient Descent Optimization for Simple Linear Regression.ipynb
Handling Missing Value with Video Store Data.ipynb		Handling Missing Value with Video Store Data.ipynb
Homework 0101.ipynb		Homework 0101.ipynb
Homework 0301.ipynb		Homework 0301.ipynb
Homework 0701.ipynb		Homework 0701.ipynb
Homework 0901.ipynb		Homework 0901.ipynb
Hyperparameter Tuning of a Neural Network Model.ipynb		Hyperparameter Tuning of a Neural Network Model.ipynb
Intro - Pandas.ipynb		Intro - Pandas.ipynb
Intro - Python and Numpy.IPYNB		Intro - Python and Numpy.IPYNB
K-Means Clustering Stock Data with Silhouette Value.ipynb		K-Means Clustering Stock Data with Silhouette Value.ipynb
K-Means Clustering with Yahoo Finance.ipynb		K-Means Clustering with Yahoo Finance.ipynb
K-Means Clustering.ipynb		K-Means Clustering.ipynb
Manual Implementation of Linear and Ridge Regression.ipynb		Manual Implementation of Linear and Ridge Regression.ipynb
Matrix Factorization Used for Recommendation.ipynb		Matrix Factorization Used for Recommendation.ipynb
Multi-Layer Perceptron Model Example.ipynb		Multi-Layer Perceptron Model Example.ipynb
Newsgroup Classification with NB and SVM.IPYNB		Newsgroup Classification with NB and SVM.IPYNB
PCA Example.ipynb		PCA Example.ipynb
Pandas with Population Data.ipynb		Pandas with Population Data.ipynb
Pandas with Video Store Data.ipynb		Pandas with Video Store Data.ipynb
Python Intro with Population Data.ipynb		Python Intro with Population Data.ipynb
Regression Analysis with scikit-learn.ipynb		Regression Analysis with scikit-learn.ipynb
Regression via Stochastic Gradient Descent.ipynb		Regression via Stochastic Gradient Descent.ipynb
Rocchio Example.ipynb		Rocchio Example.ipynb
Singular Value Decomposition Example 1.ipynb		Singular Value Decomposition Example 1.ipynb
Singular Value Decomposition Example 2 - Recommendation.ipynb		Singular Value Decomposition Example 2 - Recommendation.ipynb
Stock's Percentage Change Against QQQ's Percentage Change.ipynb		Stock's Percentage Change Against QQQ's Percentage Change.ipynb
Support Vector Machine.ipynb		Support Vector Machine.ipynb
Techniques for Feature Selection and Parameter Optimization with Titanic Data.ipynb		Techniques for Feature Selection and Parameter Optimization with Titanic Data.ipynb
Transforming a Term-Document Matrix Using TF-IDF.ipynb		Transforming a Term-Document Matrix Using TF-IDF.ipynb
Various Classifiers from the Scikit-Learn Package.ipynb		Various Classifiers from the Scikit-Learn Package.ipynb
Video_Store.csv		Video_Store.csv
Visualizing the Decision Tree classifier.ipynb		Visualizing the Decision Tree classifier.ipynb
adult_demo_final_2022531.csv		adult_demo_final_2022531.csv
classes.txt		classes.txt
communities.csv		communities.csv
jokes.csv		jokes.csv
meet_or_beat_US.csv		meet_or_beat_US.csv
modified_jester_data.csv		modified_jester_data.csv
modifiedterms.txt		modifiedterms.txt
populations.txt		populations.txt
segmentation_classes.txt		segmentation_classes.txt
segmentation_data.txt		segmentation_data.txt
segmentation_names.txt		segmentation_names.txt
terms.txt		terms.txt
testClasses.txt		testClasses.txt
testMatrixModified.txt		testMatrixModified.txt
trainClasses.txt		trainClasses.txt
trainMatrixModified.txt		trainMatrixModified.txt