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Boston, MA
... 82.7% accuracy, higher than alternative models • Classified 551 players into 28 clusters based on play style from historical data • Cross-validated models using data from over 18,800 matches • Methods Used: PCA, K-Clustering, Logistic regression. ...
- 2021 Mar 03
Boston, MA
... • Achieved an accuracy of 89% practicing Counter Vectorizer to convert inputs into frequency of each words and Logistic regression for prediction. WORK EXPERIENCE Tata Consultancy Services (TCS), Pune, India Dec 2018 – Aug 2019 Assistant System ...
- 2021 Feb 27
Arlington, MA
... SKILLS Programming Languages and Database: Python, R, Java, C, MySQL, SQL Server, Oracle Business Intelligence: Tableau, R Shiny, PowerBI, MS Excel Machine Learning Algorithms: Regression (Linear and Logistic), Decision Tree, Random Forest, SVM, KNN ...
- 2021 Feb 22
Bedford, MA
... • Built three models (logistic regression, multilayer perceptron, and random forest) with well-tuned hyper-parameters to do sentiment classification and analyzed the results. Exploring Different Action-value Methods’ Performance for Non-stationary ...
- 2021 Feb 22
Boston, MA
... patterns via Tableau Data Mining Projects 03/2020 - 05/2020 ●Used predictive analytics to profile Covid-19 Patients using Logistic Regression & Random Forest as main models ●Analyzed the performance of various healthcare providers by using the 2016 ...
- 2021 Feb 01
Boston, MA
... (code 1, 2, paper 1, 2) 2019 • Employed ML to predict binding sites in a protein sequence to aid drug discovery • Applied feature extraction, feature reduction (PCA, RFE etc.) and classification algorithms such as SVM, Logistic Regression, MLP etc. ...
- 2021 Jan 26
Malden, MA
... o Calculated Logistic functions by using R applications to prove the various arguments. • Application of Machine Learning Models: 09/2019 to 12/2019 o Created data integration equation model to plot the multiple graphs in real time generation on ...
- 2021 Jan 25
Woburn, MA
... drug ratings based on patient reviews, compared the performance of various supervised machine learning techniques (Logistic Regression, Support Vector Machines, Recurrent Neural Networks, K Nearest Neighbors) and obtained an accuracy of 92% ...
- 2021 Jan 08
Boston, MA
... • Test machine learning algorithms(logistic regression, random forests, etc.) to identify high stroke risk patients. • Develop Natural Language Processing workflows to parse unstructured patient data. • Create data automation processes for large ...
- 2021 Jan 05
Dorchester, MA
... Investigated correlation patterns between multiple features and analyzed stroke is highly correlated with Hypertension • Applied Logistic Regression with an accuracy of 76.34%, formulated Random Forest accuracy restructured up to 98% Boston Property ...
- 2020 Dec 30