ºÝºÝߣshows by User: ShantanuDeshpande6 / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: ShantanuDeshpande6 / Tue, 19 May 2020 14:17:22 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: ShantanuDeshpande6 Prediction of Corporate Bankruptcy using Machine Learning Techniques /slideshow/prediction-of-corporate-bankruptcy-using-machine-learning-techniques/234274161 x18125514-thesis-report-200519141722
Aim is to build a classification model to predict whether company will become bankrupt or not using financial ratios of Polish companies. Applied various machine learning models like Random Forest, KNN, AdaBoost & Decision Tree with pre-processing techniques like SMOTE-ENN (to deal with class imbalance) & feature selection (for identifying ) and trained on Polish Bankruptcy dataset with prediction accuracy of 89%.]]>
Aim is to build a classification model to predict whether company will become bankrupt or not using financial ratios of Polish companies. Applied various machine learning models like Random Forest, KNN, AdaBoost & Decision Tree with pre-processing techniques like SMOTE-ENN (to deal with class imbalance) & feature selection (for identifying ) and trained on Polish Bankruptcy dataset with prediction accuracy of 89%.]]> Tue, 19 May 2020 14:17:22 GMT /slideshow/prediction-of-corporate-bankruptcy-using-machine-learning-techniques/234274161 ShantanuDeshpande6@slideshare.net(ShantanuDeshpande6) Prediction of Corporate Bankruptcy using Machine Learning Techniques ShantanuDeshpande6 Aim is to build a classification model to predict whether company will become bankrupt or not using financial ratios of Polish companies. Applied various machine learning models like Random Forest, KNN, AdaBoost & Decision Tree with pre-processing techniques like SMOTE-ENN (to deal with class imbalance) & feature selection (for identifying ) and trained on Polish Bankruptcy dataset with prediction accuracy of 89%. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/x18125514-thesis-report-200519141722-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Aim is to build a classification model to predict whether company will become bankrupt or not using financial ratios of Polish companies. Applied various machine learning models like Random Forest, KNN, AdaBoost &amp; Decision Tree with pre-processing techniques like SMOTE-ENN (to deal with class imbalance) &amp; feature selection (for identifying ) and trained on Polish Bankruptcy dataset with prediction accuracy of 89%.
Prediction of Corporate Bankruptcy using Machine Learning Techniques from Shantanu Deshpande
]]> 748 0 https://cdn.slidesharecdn.com/ss_thumbnails/x18125514-thesis-report-200519141722-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Corporate bankruptcy prediction using Deep learning techniques /slideshow/corporate-bankruptcy-prediction-using-deep-learning-techniques/185749606 x18125514-ric-proposal-191023105106
Corporate Bankruptcy prediction using Recurrent neural networks – Aim is to build a recurrent neural network-based model to predict whether company will become bankrupt or not using financial ratios of Polish companies. Methodologies & Tools: CRISP-DM, SMOTE-ENN, GA Algorithm, LSTM network (type of RNN) ]]>
Corporate Bankruptcy prediction using Recurrent neural networks – Aim is to build a recurrent neural network-based model to predict whether company will become bankrupt or not using financial ratios of Polish companies. Methodologies & Tools: CRISP-DM, SMOTE-ENN, GA Algorithm, LSTM network (type of RNN) ]]> Wed, 23 Oct 2019 10:51:06 GMT /slideshow/corporate-bankruptcy-prediction-using-deep-learning-techniques/185749606 ShantanuDeshpande6@slideshare.net(ShantanuDeshpande6) Corporate bankruptcy prediction using Deep learning techniques ShantanuDeshpande6 Corporate Bankruptcy prediction using Recurrent neural networks – Aim is to build a recurrent neural network-based model to predict whether company will become bankrupt or not using financial ratios of Polish companies. Methodologies & Tools: CRISP-DM, SMOTE-ENN, GA Algorithm, LSTM network (type of RNN) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/x18125514-ric-proposal-191023105106-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Corporate Bankruptcy prediction using Recurrent neural networks – Aim is to build a recurrent neural network-based model to predict whether company will become bankrupt or not using financial ratios of Polish companies. Methodologies &amp; Tools: CRISP-DM, SMOTE-ENN, GA Algorithm, LSTM network (type of RNN)
Corporate bankruptcy prediction using Deep learning techniques from Shantanu Deshpande
]]> 807 0 https://cdn.slidesharecdn.com/ss_thumbnails/x18125514-ric-proposal-191023105106-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Analyzing financial behavior of a person based on financial literacy /slideshow/analyzing-financial-behavior-of-a-person-based-on-financial-literacy/185744861 x18125514-crm-ca2-191023102525
6. Analysed consumer behaviour and relationship using Financial literacy dataset. Identified patterns and predictor variables using logistic regression. Methodologies & Tools: IBM SPSS, RapidMiner, PowerBI]]>
6. Analysed consumer behaviour and relationship using Financial literacy dataset. Identified patterns and predictor variables using logistic regression. Methodologies & Tools: IBM SPSS, RapidMiner, PowerBI]]> Wed, 23 Oct 2019 10:25:25 GMT /slideshow/analyzing-financial-behavior-of-a-person-based-on-financial-literacy/185744861 ShantanuDeshpande6@slideshare.net(ShantanuDeshpande6) Analyzing financial behavior of a person based on financial literacy ShantanuDeshpande6 6. Analysed consumer behaviour and relationship using Financial literacy dataset. Identified patterns and predictor variables using logistic regression. Methodologies & Tools: IBM SPSS, RapidMiner, PowerBI <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/x18125514-crm-ca2-191023102525-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 6. Analysed consumer behaviour and relationship using Financial literacy dataset. Identified patterns and predictor variables using logistic regression. Methodologies &amp; Tools: IBM SPSS, RapidMiner, PowerBI
Analyzing financial behavior of a person based on financial literacy from Shantanu Deshpande
]]> 58 0 https://cdn.slidesharecdn.com/ss_thumbnails/x18125514-crm-ca2-191023102525-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Pneumonia detection using CNN /slideshow/pneumonia-detection-using-cnn-185739873/185739873 pneumoniadetectionreport-191023100300
Built a CNN based machine learning model to diagnose Pneumonia disease using chest x-rays. Methodologies & Tools: KDD, Python, VGG19 model, Convolutional Neural Network.]]>
Built a CNN based machine learning model to diagnose Pneumonia disease using chest x-rays. Methodologies & Tools: KDD, Python, VGG19 model, Convolutional Neural Network.]]> Wed, 23 Oct 2019 10:03:00 GMT /slideshow/pneumonia-detection-using-cnn-185739873/185739873 ShantanuDeshpande6@slideshare.net(ShantanuDeshpande6) Pneumonia detection using CNN ShantanuDeshpande6 Built a CNN based machine learning model to diagnose Pneumonia disease using chest x-rays. Methodologies & Tools: KDD, Python, VGG19 model, Convolutional Neural Network. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pneumoniadetectionreport-191023100300-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Built a CNN based machine learning model to diagnose Pneumonia disease using chest x-rays. Methodologies &amp; Tools: KDD, Python, VGG19 model, Convolutional Neural Network.
Pneumonia detection using CNN from Shantanu Deshpande
]]> 210 0 https://cdn.slidesharecdn.com/ss_thumbnails/pneumoniadetectionreport-191023100300-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 X18125514 ca2-statisticsfor dataanalytics /ShantanuDeshpande6/x18125514-ca2statisticsfor-dataanalytics x18125514-ca2-statisticsfordataanalytics-191023095105
4. Performed statistical analysis on a chosen data table and understood relationship amongst different data fields using IBM SPSS software. Methodologies: Multi linear regression, Logistic linear regression IBM SPSS]]>
4. Performed statistical analysis on a chosen data table and understood relationship amongst different data fields using IBM SPSS software. Methodologies: Multi linear regression, Logistic linear regression IBM SPSS]]> Wed, 23 Oct 2019 09:51:05 GMT /ShantanuDeshpande6/x18125514-ca2statisticsfor-dataanalytics ShantanuDeshpande6@slideshare.net(ShantanuDeshpande6) X18125514 ca2-statisticsfor dataanalytics ShantanuDeshpande6 4. Performed statistical analysis on a chosen data table and understood relationship amongst different data fields using IBM SPSS software. Methodologies: Multi linear regression, Logistic linear regression IBM SPSS <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/x18125514-ca2-statisticsfordataanalytics-191023095105-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 4. Performed statistical analysis on a chosen data table and understood relationship amongst different data fields using IBM SPSS software. Methodologies: Multi linear regression, Logistic linear regression IBM SPSS
X18125514 ca2-statisticsfor dataanalytics from Shantanu Deshpande
]]> 176 1 https://cdn.slidesharecdn.com/ss_thumbnails/x18125514-ca2-statisticsfordataanalytics-191023095105-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Pharmaceutical store management system /slideshow/pharmaceutical-store-management-system-185736164/185736164 pharmaceuticalstoremanagementsystem-191023094344
2. Developed a strategic management information system for a virtual organization while considering the analytical requirements for management dashboards. Tools: Salesforce Developer platform]]>
2. Developed a strategic management information system for a virtual organization while considering the analytical requirements for management dashboards. Tools: Salesforce Developer platform]]> Wed, 23 Oct 2019 09:43:43 GMT /slideshow/pharmaceutical-store-management-system-185736164/185736164 ShantanuDeshpande6@slideshare.net(ShantanuDeshpande6) Pharmaceutical store management system ShantanuDeshpande6 2. Developed a strategic management information system for a virtual organization while considering the analytical requirements for management dashboards. Tools: Salesforce Developer platform <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pharmaceuticalstoremanagementsystem-191023094344-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 2. Developed a strategic management information system for a virtual organization while considering the analytical requirements for management dashboards. Tools: Salesforce Developer platform
Pharmaceutical store management system from Shantanu Deshpande
]]> 7593 1 https://cdn.slidesharecdn.com/ss_thumbnails/pharmaceuticalstoremanagementsystem-191023094344-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Data-Warehouse-and-Business-Intelligence /slideshow/datawarehouseandbusinessintelligence/185733502 x18125514-dwbi-shantanu-deshpande-191023093326
Built a data warehouse from multiple data sources and ETL methodologies and executed three non-trivial Business Intelligence queries. Technologies/Tools: R, SQL, Visual Studio, SQL Server Management, Tableau]]>
Built a data warehouse from multiple data sources and ETL methodologies and executed three non-trivial Business Intelligence queries. Technologies/Tools: R, SQL, Visual Studio, SQL Server Management, Tableau]]> Wed, 23 Oct 2019 09:33:26 GMT /slideshow/datawarehouseandbusinessintelligence/185733502 ShantanuDeshpande6@slideshare.net(ShantanuDeshpande6) Data-Warehouse-and-Business-Intelligence ShantanuDeshpande6 Built a data warehouse from multiple data sources and ETL methodologies and executed three non-trivial Business Intelligence queries. Technologies/Tools: R, SQL, Visual Studio, SQL Server Management, Tableau <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/x18125514-dwbi-shantanu-deshpande-191023093326-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Built a data warehouse from multiple data sources and ETL methodologies and executed three non-trivial Business Intelligence queries. Technologies/Tools: R, SQL, Visual Studio, SQL Server Management, Tableau
Data-Warehouse-and-Business-Intelligence from Shantanu Deshpande
]]> 131 2 https://cdn.slidesharecdn.com/ss_thumbnails/x18125514-dwbi-shantanu-deshpande-191023093326-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Dsm project-h base-cassandra /slideshow/dsm-projecth-basecassandra/184362224 dsm-project-hbase-cassandra-191020120827
I have examined the performance of two databases - HBase and Cassandra in terms of their scalability, security, performance and compared the results thus obtained through different operations on the Ubuntu interface.]]>
I have examined the performance of two databases - HBase and Cassandra in terms of their scalability, security, performance and compared the results thus obtained through different operations on the Ubuntu interface.]]> Sun, 20 Oct 2019 12:08:27 GMT /slideshow/dsm-projecth-basecassandra/184362224 ShantanuDeshpande6@slideshare.net(ShantanuDeshpande6) Dsm project-h base-cassandra ShantanuDeshpande6 I have examined the performance of two databases - HBase and Cassandra in terms of their scalability, security, performance and compared the results thus obtained through different operations on the Ubuntu interface. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dsm-project-hbase-cassandra-191020120827-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> I have examined the performance of two databases - HBase and Cassandra in terms of their scalability, security, performance and compared the results thus obtained through different operations on the Ubuntu interface.
Dsm project-h base-cassandra from Shantanu Deshpande
]]> 64 0 https://cdn.slidesharecdn.com/ss_thumbnails/dsm-project-hbase-cassandra-191020120827-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/x18125514-thesis-report-200519141722-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/prediction-of-corporate-bankruptcy-using-machine-learning-techniques/234274161 Prediction of Corporat... https://cdn.slidesharecdn.com/ss_thumbnails/x18125514-ric-proposal-191023105106-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/corporate-bankruptcy-prediction-using-deep-learning-techniques/185749606 Corporate bankruptcy p... https://cdn.slidesharecdn.com/ss_thumbnails/x18125514-crm-ca2-191023102525-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/analyzing-financial-behavior-of-a-person-based-on-financial-literacy/185744861 Analyzing financial be...