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Advance Mathematical Statistics Fall 2023

Posted on December 10, 2023

Project 3 Report- Time Series Prediction for Hotel Price Prediction

Posted on December 9, 2023

Analysis of the ACF and PACF Plot

Posted on December 9, 2023

Preference of MA model over the Random Walk Model

Posted on December 9, 2023

Differencing the time series- Removing trend and seasonality

Posted on December 8, 2023

Importance of AIC Score in Evaluating Model Performance

Posted on December 8, 2023

Choosing the Right Time Series Model Using ACF and PACF Plots

Posted on December 8, 2023

Analysis of ACF and PACF Plot

Posted on December 4, 2023

Project 2 (corrected report)

Posted on December 4, 2023

Analyzing Police Shooting Statistics with Regression

Posted on December 4, 2023

Visualizing Police Shooting Hot Spots through Spatial Modeling

Posted on December 4, 2023

Usage of K-means for the model evaluation

Posted on November 12, 2023

Analysis of Factors Responsible for Police Shooting

Posted on November 9, 2023

Project 1 (Corrected Version)

Posted on November 9, 2023

Decision tree on Washington police shooting dataset

Posted on October 30, 2023

Finding what to do with the dataset

Posted on October 24, 2023

Learning about k-means clustering

Posted on October 9, 2023

Project 1 report- Analysis of Heart Disease Mortality Using Diabetes Data

Posted on October 3, 2023

Starting stages of report writing

Posted on September 28, 2023

comparing the diabetes and heart rate data

Posted on September 26, 2023

Validating the diabetes data

Posted on September 21, 2023

Finalising the problem statement

Posted on September 17, 2023

Finding the problem statement!

Posted on September 14, 2023

Getting more closer with the dataset and problem statement!

Posted on September 12, 2023

Predicting the Future with Linear Regression!

Posted on September 6, 2023

September 6, 2023

Posted on September 6, 2023

Hello world!

Recent Posts

  • Project 3 Report- Time Series Prediction for Hotel Price Prediction
  • Analysis of the ACF and PACF Plot
  • Preference of MA model over the Random Walk Model
  • Differencing the time series- Removing trend and seasonality
  • Importance of AIC Score in Evaluating Model Performance

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