Pinned Repositories
Advanced-Statistics
Analysis of three datasets for count data analysis, survival analytics and missing value imputation .
Bankruptcy-prediction-in-Polish-Comapnies
Based on the certain measures (around 64) we predict the health of the company like whether it will go ahead or will it go Bankrupt
Big-Basket-Analysis
Analysing the big basket dataset and answering a few problems using Collaborative filtering and Association Rules
Big-Data-Management
Diabetic-Data-Readmission-Prediction-in-R
Diabetes is a chronic condition prevalent among more than 100 million people across the world. The chances of readmission of diabetic patients are quite high.The objective of this project is to predict whether the patient will be readmitted to the hospital or not. For predicting it most accurately I have used various prediction models like Logistic Regression, Decision Trees, Neural Networks, Random Forests, SVM and Naïve Bayes and seen their performance in order to get the best results.
DS-cheatsheets
Financial-Analytics
Marketing-Analytics
A simple segmentation and targeting analysis of few beer brands and identifying which segment will be more attracted if we launch a new brand with certain features.
Optimisation
Manpower Planning
Sentimental-Analysis-of-Demonetisation-Data-in-Python
swapnilvermani's Repositories
swapnilvermani/Marketing-Analytics
A simple segmentation and targeting analysis of few beer brands and identifying which segment will be more attracted if we launch a new brand with certain features.
swapnilvermani/Diabetic-Data-Readmission-Prediction-in-R
Diabetes is a chronic condition prevalent among more than 100 million people across the world. The chances of readmission of diabetic patients are quite high.The objective of this project is to predict whether the patient will be readmitted to the hospital or not. For predicting it most accurately I have used various prediction models like Logistic Regression, Decision Trees, Neural Networks, Random Forests, SVM and Naïve Bayes and seen their performance in order to get the best results.
swapnilvermani/Bankruptcy-prediction-in-Polish-Comapnies
Based on the certain measures (around 64) we predict the health of the company like whether it will go ahead or will it go Bankrupt
swapnilvermani/Advanced-Statistics
Analysis of three datasets for count data analysis, survival analytics and missing value imputation .
swapnilvermani/Big-Basket-Analysis
Analysing the big basket dataset and answering a few problems using Collaborative filtering and Association Rules
swapnilvermani/Big-Data-Management
swapnilvermani/DS-cheatsheets
swapnilvermani/Financial-Analytics
swapnilvermani/Optimisation
Manpower Planning
swapnilvermani/Sentimental-Analysis-of-Demonetisation-Data-in-Python
swapnilvermani/Text-Analytics
swapnilvermani/UPOSApp
swapnilvermani/WorldTrade-Data-Shiny-App