Forest resumes in Randallstown, MD

Halethorpe, MD
... categories given historic data of purchase amounts • Optimized Linear Regression, Ridge Regression, and Lasso Regression, Decision Tree Regression, Random Forest Regression, Gradient Boost Regression using GridsearchCV to reach the best model. ... - 2021 Jun 11

Baltimore, MD
... completing purchases Certified Nursing Assistant It Works Learning Center - Baltimore, MD June 2018 High school diploma Forest Park High School - Baltimore, MD September 2010 to August 2014 • Nursing (2 years) • Vital Signs (2 years) • Caregiving ... - 2021 Apr 20

Ellicott City, MD
... new structures to improve model performance • Implemented a Combined Weighted Ensemble of Gradient Boosting, Random Forest, and Extra Trees classifiers • Technical Stack: sklearn Pandas numpy matplotlib Random decision trees Gradient boosting ... - 2021 Apr 11

Halethorpe, MD
... • Created models like Random Forest, SVM, Logistic Regression, Naïve Bayes to predict rainfall for the next day. • Achieved the highest accuracy for Naïve Bayes Algorithm amongst all the methods. Course Scheduling System Fall 2019 • Developed ... - 2021 Apr 09

Catonsville, MD
... City- Capstone Project Google Colab Jan 2021 - May 2021 • Analysis and prediction of 911 calls by using Neural Network techniques and machine learning models like random forest, linear regression, logistic regression, decision tree, CNN and KNN. ... - 2021 Apr 03

Halethorpe, MD
... Data Mining : Aug 2020- Dec 2020 • Creating different Machine Learning models using algorithms like support Vector Machine, Logistic Regression, Naïve Bayes, Association Rule Mining, Random Forest, Decision Tree, K-Nearest Neighbour and evaluating ... - 2021 Feb 28

Elkridge, MD
... Wake Forest and Baptist Health, NC July’09–Nov’10 Role: PeopleSoft Techno/Functional and Upgrade Consultant. Project: Upgrade Project Responsibilities: Involved in Integrating PeopleSoft with, ADP using PeopleSoft Payroll Interface and Involved in ... - 2021 Feb 24

Odenton, MD
... PROJECTS Regression model to predict housing prices, Determining the spread of coronavirus using SIR Model: A case study of Tennessee In United States, Model to improve email spam detection based on random forest, Traffic sign recognition using ... - 2021 Feb 20

Baltimore, MD
... Machine Learning classification algorithms such as One-R, Naïve Bayes, KNN, Decision Tree, Random forest were applied to classify the stress or non- stress related data while performing stressful activities and listening to their favorite music. ... - 2021 Feb 19

Arbutus, MD
... Experienced with various supervised and unsupervised machine learning algorithms such as Linear Regression, Logistic Regression, SVM, Decision Tree, KNN, Naive Bayes, Random Forest, SVM, Boosting, K-means Clustering, Hierarchical clustering, PCA, ... - 2021 Jan 25