Pinned Repositories
Ads-Clicked-Logistic-Regression
model that will predict whether or not user will click on an ad based off the features of that user
Breast-Cancer-PCA
Principal Component Analysis on breast cancer dataset from sklearn
Breast-Cancer-SVM
Support Vector Machine classifier on breast cancer dataset
Classified-Data-KNN
Using KNN to create a model that directly predicts a target class data points based off of the features. ( Given data set with hidden feature column names)
Computer-Activity-Monitor
Script that saves to the database the name of the program displayed on the screen and the time spent with it. Only for Windows operating system. Languages used: Python, SQL
Cplusplus
C++ training
Lending-Club
Random Forest and Decission Trees Classfiers models to classify and predict whether or not the borrower paid back their loan in full. Data from Lendingclub.com ( years 2007-2010)
Spam-Detector-NLP
training a machine learning model to learn to discriminate between spam and normal messages
Titanic-Logistic-Regression
Clasiffication model for predicting numbers of survived and deceased in Titanic crash.
University-Cluster
Using K Means Clustering to cluster Universities into to two groups, Private and Public.
michellibera's Repositories
michellibera/Ads-Clicked-Logistic-Regression
model that will predict whether or not user will click on an ad based off the features of that user
michellibera/Breast-Cancer-PCA
Principal Component Analysis on breast cancer dataset from sklearn
michellibera/Breast-Cancer-SVM
Support Vector Machine classifier on breast cancer dataset
michellibera/Classified-Data-KNN
Using KNN to create a model that directly predicts a target class data points based off of the features. ( Given data set with hidden feature column names)
michellibera/Computer-Activity-Monitor
Script that saves to the database the name of the program displayed on the screen and the time spent with it. Only for Windows operating system. Languages used: Python, SQL
michellibera/Cplusplus
C++ training
michellibera/Lending-Club
Random Forest and Decission Trees Classfiers models to classify and predict whether or not the borrower paid back their loan in full. Data from Lendingclub.com ( years 2007-2010)
michellibera/Spam-Detector-NLP
training a machine learning model to learn to discriminate between spam and normal messages
michellibera/Titanic-Logistic-Regression
Clasiffication model for predicting numbers of survived and deceased in Titanic crash.
michellibera/University-Cluster
Using K Means Clustering to cluster Universities into to two groups, Private and Public.
michellibera/Ecommrce-User-Time-Spent-Linear-Regression
Predicting amount of time spent on ecommerce website vs app with use of sklearn Linear Regression model.
michellibera/Housig-Prices-Linear-Regression
Predicting housing prices based on features from made up dataset.
michellibera/Iris-Flower-SVM
Creating Support Vector Machine classifier for Iris Flower data set
michellibera/K-Means-Clustering
K Means Clustering practice on made up data
michellibera/KNN-Classifier
Using KNN to create a classifier model
michellibera/Kyphosis
Simple Decission Tree and Random Forest Classifier
michellibera/Movie-Recommender-
implementing Model-Based Collaborative Fitering by using singular value decomposition (SVD) and Memory-Based Collaborative Filtering by computing cosine similarity
michellibera/Movies-Corelation
Basic movies recommendation system based on corelation
michellibera/Yelp-Review-NLP
NLP project in which I attempt to classify Yelp Reviews into 1 star or 5 star categories based off the text content in the reviews. Data used: Yelp Review Data Set from Kaggle.