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Resumes 51 - 60 of 173 |
Morristown, NJ
... variables based on industry demography by performing EDA § Tested an algorithm in R for statistical models such as Random Forest, Decision Trees, K-Nearest Neighbors, and Artificial Neural Networks to predict customers satisfaction, produced in an ...
- 2020 Dec 09
Edison, NJ
... Heart Disease Prediction and Analysis (https://github.com/saran1209/Heart-Dieases-Prediction-) Predicted the chances of Heart disease using Machine Learning algorithms like KNN, Decision Tree, Random Forest. Achieved the accuracy of 87% using Random ...
- 2020 Dec 08
Bridgewater Township, NJ
... be brought to the Scottish Parliament ●Broadening knowledge of wildlife conservation and climate change mitigation through forest preservation ●Working with a team to bring a sufficient brief to allow full legal protection of woodlands before COP26 ...
- 2020 Nov 30
Princeton Junction, NJ
... Management DATA SCIENCE FOR BUSINESS PROJECTS Developing a Model to Reduce Hiring and Training Costs of Employees • Random Forest and Logistic Regression Classifier Models • Artificial Neural Network (ANN) Classifier Model Developing Models to ...
- 2020 Nov 25
Somerset, NJ
... R ML Techniques: Decision Trees, Support Vector Machines, Predictive and Text Analytics, Clustering, Linear Regression, Random Forest, XgBoost, Unsupervised Techniques, NLP PROFESSIONAL EXPERIENCE Tegger - Data Science Intern - Remote, NJ Aug 2020 - ...
- 2020 Nov 16
Princeton, NJ
... Implemented decision tree as predictive model (forest cover prediction) in Python for Kaggle Competition. Environment: Python (NumPy, SciPy, Panda, Matplotlib), Machine Learning (Scikit Learn, ML-Lib), AWS, Docker, Restful APIs, Django, SAS, PySpark ...
- 2020 Oct 29
Somerset, NJ
... VMWARE AND WINTEL ENGINEER 07/2014 to 09/2015 Hospira - Lake Forest, IL Planned upgrade drive for existing ESXi hosts to version 5.5, this included upgrading few of the virtual machine hardware versions as well. Upgraded vCenter from 5.0 to 5.5, ...
- 2020 Oct 10
Edison, NJ
... •Computaional: SageMakers and S3 Buckets for computational purpose •ML Model: Random Forest, Ensembling Techniques, LightGBM, XGBoost, Python, OCR. •Target: Finally built a highly dynamic model for predicting the Exact Principle Diagnosis ICD with ...
- 2020 Aug 22
Somerset, NJ
... Mathematics Lake Forest College Lake Forest, IL
- 2020 Jul 31
Plainfield, NJ
... This analysis helps the investors in decision making for granting loans • Predicted the rate of defaulters using the data from 2007-2019 classifying borrowers using Random Forest & Decision Tree algorithms • Implemented an industry specific keystone ...
- 2020 Jul 20