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Mutual Fund Performance - Return Regression model
Mutual Fund Performance Regression Analysis
Dataset is of different mutual fund schemes in India:
Dependent Variable
1YearReturn - Annual Return by scheme
Independent Variables
Investment Style
Market Cap
Turnover
Net Assets (Cr)
Standard Deviation
Sharpe Ratio
Sortino Ratio
Beta
Alpha
R-Squared
Expense Ratio
Tenure
Mutual Fund Performance Analysis - Anova of Returns according to Market Cap
Mutual Fund performance analysis through Anova
Is there any significant difference between returns of Small, Mid & Large Market Cap Funds.
House Price Model
House Price Regression
Bank Loan Default Prediction
Bank Loan Default Prediction
Trade Recommendation
Trade Recommendation
Competition_I
Competition
Spam Email Prediction using Random Forest
The "spam" concept is diverse: advertisements for products/web sites, make money fast schemes, chain letters, pornography...
Our collection of spam e-mails came from our postmaster and individuals who had filed spam. Our collection of non-spam e-mails came from filed work and personal e-mails, and hence the word 'george' and the area code '650' are indicators of non-spam. These are useful when constructing a personalized spam filter. One would either have to blind such non-spam indicators or get a very wide collection of non-spam to generate a general purpose spam filter.
So Our Problem Statement is-
To create the model to predict the mail is Spam or Not.
Test the model on test dataset
Check the accuracy.
Spam Emails Check through Random Forest Method
The "spam" concept is diverse: advertisements for products/web sites, make money fast schemes, chain letters, pornography...
Our collection of spam e-mails came from our postmaster and individuals who had filed spam. Our collection of non-spam e-mails came from filed work and personal e-mails, and hence the word 'george' and the area code '650' are indicators of non-spam. These are useful when constructing a personalized spam filter. One would either have to blind such non-spam indicators or get a very wide collection of non-spam to generate a general purpose spam filter.
So Our Problem Statement is-
To create the model to predict the mail is Spam or Not.
Test the model on test dataset
Check the accuracy.
Credit_Loans_Cluster_Analysis
Credit_Loans_Cluster_Analysis
Hotel Room Price Regression Model
Hotel Room Prices in Indian Market Regression Model
Time Series ARIMA model
Time Series ARIMA model
Hotel Prices Model
Hotel Prices Model
MBA Salaries Logistic Model
MBA Salaries Logistic Model
MBA Salaries Regression Model
MBA Salaries Regression Model
Airline Price Analysis
Airline price analysis of Economy and Premium Class
Multi Logistic Model
This is Multi logistic Model for Diabetes Data.
ML Regression Model Without Outliers
This is Multi Linear Regression model after removing the outliers.
This analysis is done on House data .
Multi Linear Regression Model With Outliers
This model is for House Data without removing the outliers in the data.
Simple Linear Regression Model
Simple Linear regression Analysis and Creation of Model to predict the value of dependent variable
Sentiment Analysis_Monesh
Business Analytics Using R – Project – Sentiment Analysis
a4_Monesh_RMD
Provide R code to read the activity.csv file and do imputation
- Read the data file
- Data Cleaning and Imputation
- Writing a file
a3_Monesh_RMD
Provide R code to read the Patient.csv file and do data Preparation & Reporting
- Add two new columns BMI Value and BMI Lebel
- Data Cleaning
- Report Preparation