| Resume alert | Resumes 61 - 70 of 500 |
Data Analyst Python
San Mateo, CA
... & Python Silicon Valley, CA Apr 2019 – May 2019 • Trialed different Machine Learning algorithms, such as Logistic Regression (with Lasso & Ridge), Decision Tree, KNN Classifier and Random Forest Classifier to predict potential customer churn. ... - 2021 Mar 24
... & Python Silicon Valley, CA Apr 2019 – May 2019 • Trialed different Machine Learning algorithms, such as Logistic Regression (with Lasso & Ridge), Decision Tree, KNN Classifier and Random Forest Classifier to predict potential customer churn. ... - 2021 Mar 24
Data Analyst Social Media
Union City, CA
... into feature sets, perform sentiment analysis and future prediction using Neural Network Model, Linear Regression, Random Forest Regression, create dashboards to monitor progress of campaign • Prepared strategies to improve the competitive standing ... - 2021 Feb 22
... into feature sets, perform sentiment analysis and future prediction using Neural Network Model, Linear Regression, Random Forest Regression, create dashboards to monitor progress of campaign • Prepared strategies to improve the competitive standing ... - 2021 Feb 22
Data Scientist
San Jose, CA, 95132
... MySQL, Hive, Impala, Apache Spark, Hadoop, Big Query Machine Learning: Scikit-learn (Regressions, k-means, random forest, boosted decision tree, SVM), Deep Learning (PyTorch, Keras, Tensor flow), AWS Sagemaker EXPERIENCE 2019/09 - Present ... - 2021 Feb 22
... MySQL, Hive, Impala, Apache Spark, Hadoop, Big Query Machine Learning: Scikit-learn (Regressions, k-means, random forest, boosted decision tree, SVM), Deep Learning (PyTorch, Keras, Tensor flow), AWS Sagemaker EXPERIENCE 2019/09 - Present ... - 2021 Feb 22
SQL, R, Python, Java
Fremont, CA
... in Forest Science Sep 2011- Dec 2012 Colorado State University Fort Collins, CO, USA B.S. in Agriculture and Forest Economic Management Sep 2007- July 2011 Beijing Forestry University Beijing, China SKILLS Programming Languages: Python(Numpy, Pandas ... - 2021 Feb 22
... in Forest Science Sep 2011- Dec 2012 Colorado State University Fort Collins, CO, USA B.S. in Agriculture and Forest Economic Management Sep 2007- July 2011 Beijing Forestry University Beijing, China SKILLS Programming Languages: Python(Numpy, Pandas ... - 2021 Feb 22
Engineer Machine
San Bruno, CA
... • Gathered training data spanning 2015 – 2019, and utilized Support Vector Machine, Linear Regression, Random Forest, and LTSM to determine which tactic would deliver the best model, resulting in 92.4% accuracy within 30 days with LTSM through ... - 2021 Feb 22
... • Gathered training data spanning 2015 – 2019, and utilized Support Vector Machine, Linear Regression, Random Forest, and LTSM to determine which tactic would deliver the best model, resulting in 92.4% accuracy within 30 days with LTSM through ... - 2021 Feb 22
Data Analyst
Hayward, CA
... is expected to assist tourists on choosing the travel dates and travel on budget ● Tech Stack & Algorithm used: Random Forest Regressor, Python, Jupyter Notebook, Flask and Heroku Real life Healthcare Chatbot with IBM Watson assistant and IBM ... - 2021 Feb 21
... is expected to assist tourists on choosing the travel dates and travel on budget ● Tech Stack & Algorithm used: Random Forest Regressor, Python, Jupyter Notebook, Flask and Heroku Real life Healthcare Chatbot with IBM Watson assistant and IBM ... - 2021 Feb 21
Data Science, Machine Learning, Python, R, Java
San Jose, CA
... Integration and Delivery (CI/CD), Software development life cycle (SDLC), Scrum, Agile, Kanban PROJECTS Forest Fire prediction Aug 2020-Dec 2020 Integrated the wildfire event data and the weather data from different counties of California. ... - 2021 Feb 21
... Integration and Delivery (CI/CD), Software development life cycle (SDLC), Scrum, Agile, Kanban PROJECTS Forest Fire prediction Aug 2020-Dec 2020 Integrated the wildfire event data and the weather data from different counties of California. ... - 2021 Feb 21
Data Analyst Engineer
San Jose, CA
... Models Evaluated: Logistic Regression, Naïve Bayes, Random Forest Lending Club Loan Data Analysis (Technologies: Airflow, Python, Scikit-Learn) Jan 2019 - Feb 2019 Automated data collection, cleaning, and feature engineering by creating a pipeline, ... - 2021 Feb 20
... Models Evaluated: Logistic Regression, Naïve Bayes, Random Forest Lending Club Loan Data Analysis (Technologies: Airflow, Python, Scikit-Learn) Jan 2019 - Feb 2019 Automated data collection, cleaning, and feature engineering by creating a pipeline, ... - 2021 Feb 20
Software Developer Engineer
San Jose, CA
... The model selects the 25 most influential factors from 100 factors provided by the US Energy Department using a random forest classifier, then applies them by importance. https://github.com/Monkeyank/Residential_Electricity_Consuption_Mac ... - 2021 Feb 20
... The model selects the 25 most influential factors from 100 factors provided by the US Energy Department using a random forest classifier, then applies them by importance. https://github.com/Monkeyank/Residential_Electricity_Consuption_Mac ... - 2021 Feb 20
Data Assistant
Campbell, CA
... Using data mining method, developed and predicted the model based on random forest model with accuracy of 97.3% Software Product Process Enhancement (WonderCard): May 2020 Spearheaded Six Sigma Methodology, implementing the Water-Scrum-Fall Model to ... - 2021 Feb 02
... Using data mining method, developed and predicted the model based on random forest model with accuracy of 97.3% Software Product Process Enhancement (WonderCard): May 2020 Spearheaded Six Sigma Methodology, implementing the Water-Scrum-Fall Model to ... - 2021 Feb 02