Supervised Machine Learning
Projects

UNDER CONSTRUCTION - COMPLETION DATE 5/1/22

Naive Bayes - Spam Filter for Email Text

3/21/22

Methods: Preprocessed raw test data, removed stop word, tokenized, and cleanded data. Exported cleaned data and created new dataframes with word frequencies, occurence, and probabilities. Hardcoded the calculations using Naive Bayes and based off of dataset was able to make predictions given tokenized word list whether the message was spam or not.
Packages: Pandas, numPy, collections, NTLK, random, math
Data Visualization: Word Cloud, matplotlib
Text Processing : re, string, nltk

Github: Naive Bayes Spam Filter

KNN Classification Algorithm:

Prediction for Benign or Malignant Mammographic Masses in Breast Tissue

3/15/22

Methods: Cleaned data, used Sklearn KNN packages.

Packages: Pandas, numPy, math, Sklearn

Results:

Recall : 53%

Precision: 76%

f_score = 73%

Accuracy = 78%

Prediction

Gihub: KNN Algorithm Classifier

Project 3

Under Construction

Currently Working on Revamping my Github with new and improved projects. I intend to have these polished up, with turtorial videos and presentations completed by 5/1/22. Thank you for your patience. Upon Request I can provide presentations of the uncompleted projects.

Get in Touch

Projects: Skills

Supervised Machine LearningProjects

Naive Bayes - Spam Filter for Email Text

KNN Classification Algorithm:

​Prediction for Benign or Malignant Mammographic Masses in Breast Tissue

Project 3

Supervised Machine Learning
Projects

Prediction for Benign or Malignant Mammographic Masses in Breast Tissue