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Resumes 111 - 120 of 259 |
Boston, MA
... performed exploratory data analysis in SAS Built predictive models for loan status based on machine learning algorithms (logistic regression, KNN, SVM, decision tree and random forest model) in R and compared accuracy and interpretability of ...
- 2020 Sep 09
Boston, MA
... Built a Predictive model to detect the presence of Heart Disease in Patients Jan 2019 - April 2019 Implemented Classification using Decision Trees and Logistic Regression model using RStudio. Performance Evaluation measures such as Lift Charts, ...
- 2020 Aug 17
Boston, MA
... Feature Engineering, and Exploratory Data Analysis (EDA) to predict and develop statistical models (Logistic Regression, Decision Trees, Random Forest) • Implemented modeling and manipulated data to improve accuracy from 53.78% to approx. ...
- 2020 Jul 31
Boston, MA
... actionable insight from KPIs • Have a predictive analytics knowledge such as KNN, Decision Tree, Random Forest, linear/logistic regression, among others that can be utilized to measure KRIs Primary Skills Programming Language: R (DataExplorer, ...
- 2020 Jul 29
Boston, MA
... • Applied machined learning techniques like Naïve Bayes, Logistic Regression, K-NN and Random forest to classify the data into Access granted and Access revoked in Python. • Compared the accuracies using Confusion Matrix and Precision-Recall to ...
- 2020 Jul 16
Boston, MA
... R Shiny, MS PowerBI, MS Excel Data Mining Tools: Orange, Weka Machine Learning Algorithms: Regression (Linear and Logistic), Decision Tree, Random Forest, SVM, KNN, PCA, Forecasting, ANN, CNN, RNN, LSTM, XgBoost Design and Simulation Software ...
- 2020 Jul 16
Boston, MA
... success prediction of a startup by implementing a classification model by comparing the F-beta score, accuracy, AUC of Logistic Regression, XGBoost and SVM Data Analyst Pluralpoint Inc Boston, MA Sep 2019 – Dec 2019 • Designed a pipeline to derive ...
- 2020 Jul 09
Malden, MA
... @ Northeastern University Analysis • Leveraged algorithms on Student several to identify Performance machine the impact learning of different methods variables such as Logistic and to predict Regression, future Random success/Forest, failure Nov. ...
- 2020 Jul 09
Boston, MA
... take-privates during 2006-2007 using Bloomberg and CapitalIQ • Created logistic regression in R and determined quantitative and qualitative factors that affected deal success • Led team communications with Bain PE Group Founder and pitched findings; ...
- 2020 Jul 05
Boston, MA
... Firebase ML Libraries: NumPy, Pandas, TensorFlow, Matplotlib, Seaborn, Scikit-learn, statsmodels Statistical Techniques: Logistic Regression, K-Nearest Neighbors, Naïve Bayes, Neural Nets, Collaborative Filtering, PCA, Classification and Regression ...
- 2020 Jul 01