Pinned Repositories
Autoencoders-MBML-Project
Bayesian-Analysis
Benfords-Law-and-Adversarial-Images-DSA-Project
Data-Analysis
Performed data analysis for a fictional bike-share company - Cyclistic in order to help them attract more riders. Analyzed the Cyclistic bike trip data from May 2021 to April 2022 to identify how annual members and casual riders use Cyclistic bikes differently. Link to the Dataset: https://divvy-tripdata.s3.amazonaws.com/index.html
EE3900
Mathematical-Modelling-COVID19
Multivariate-Analysis
The objective of this project is to analyze the top 100 most streamed songs on Spotify using Factor Analysis, Principal Component Analysis (PCA), and cluster analysis, with the aim of identifying patterns and relationships between the songs based on their audio features.
Pattern-Separation
Implemented Logistic Regression using cvxpy. Performed binary classification on a set of randomly generated points and on a Real World Dataset.
Regression-Analysis
We are performing regression analysis on the World Happiness Index 2017 dataset to identify the key factors affecting happiness scores, and verify the model assumptions using diagnostic tests.
handwriting-generator-model
DL Project Sem-7
anitadash's Repositories
anitadash/Pattern-Separation
Implemented Logistic Regression using cvxpy. Performed binary classification on a set of randomly generated points and on a Real World Dataset.
anitadash/Autoencoders-MBML-Project
anitadash/Bayesian-Analysis
anitadash/Benfords-Law-and-Adversarial-Images-DSA-Project
anitadash/Data-Analysis
Performed data analysis for a fictional bike-share company - Cyclistic in order to help them attract more riders. Analyzed the Cyclistic bike trip data from May 2021 to April 2022 to identify how annual members and casual riders use Cyclistic bikes differently. Link to the Dataset: https://divvy-tripdata.s3.amazonaws.com/index.html
anitadash/EE3900
anitadash/Mathematical-Modelling-COVID19
anitadash/Multivariate-Analysis
The objective of this project is to analyze the top 100 most streamed songs on Spotify using Factor Analysis, Principal Component Analysis (PCA), and cluster analysis, with the aim of identifying patterns and relationships between the songs based on their audio features.
anitadash/Regression-Analysis
We are performing regression analysis on the World Happiness Index 2017 dataset to identify the key factors affecting happiness scores, and verify the model assumptions using diagnostic tests.
anitadash/Elliptic_Curves
This repository includes the implementation of DLP attacks on an elliptic curve over a finite field
anitadash/Statistical-Study
A Statistical Observational Study on the Factors affecting the typing speed of students studying in IITH.