Keerthana-singupuram
Hey,welcome! I work on data, love to gather insights and deliver predictions! :)
Pinned Repositories
-Prediction-of-Student-Performances-from-Game-Play.
Data exploration done using students performance dataset that involves while playing an educational game.
120-years-of-Olympic-History-Athletes-and-Results.
This is a historical dataset on the modern Olympic Games, including all the Games from Athens 1896 to Rio 2016.
Advanced-House-Sales-Prediction
Advanced House Sales Prediction Dashboard that gives analysis of best houses depending on various factors.
Bike-Sales-Analysis
This is a bike sales dashboard created using Microsoft Excel that gives analysis depending on various factors.
Global-Covid---19-Analysis
This is data analysis of the recent pandemic - Covid 19. A dashboard created using Google sheets.
GTD
Global Terrorism Data Analysis consists information that includes terrorist attacks around the world from 1970 through 2017. As a Security/ Defense Analyst, the main objective of the project is to find out hot zone of terrorism, security issues and key insights through Exploratory Data Analysis.
Hotel-suppliers-SQL-Project1
This project is a MySQL-based DB for managing hotel suppliers. It provides a comprehensive solution for hotels to efficiently manage their supplier information, orders, and inventory.
IMDb-Top-250-Movies.
Exploratory data analysis of top 250 IMDb films with different genres and other factors.
Indian-Premier-League-Analysis-Cricket
About IPL stands for Indian Premier League and this is an exploratory data analysis of sport Cricket based on various factors. As a Sport Analyst, the objective is to find the most successful teams, players and the factors contributing to win or to loose the game.
MLflow---Machine-Learning-Life-Cycle.
To use mlflow for logging and querying machine learning experiments. The task is to build, log, and track multiple versions of a classification model that aims to predict the passengers who survived the titanic shipwreck.
Keerthana-singupuram's Repositories
Keerthana-singupuram/Provide-Insights-To-Telangana-Government-Tourism-Department.
Telangana is one of India’s leading states and has published its tourism data under its open data policy. This is a presentation of analysis done to provide insights for tourism growth in the data, finding patterns and providing recommendations to the government for increased growth rate.
Keerthana-singupuram/-Prediction-of-Student-Performances-from-Game-Play.
Data exploration done using students performance dataset that involves while playing an educational game.
Keerthana-singupuram/120-years-of-Olympic-History-Athletes-and-Results.
This is a historical dataset on the modern Olympic Games, including all the Games from Athens 1896 to Rio 2016.
Keerthana-singupuram/Advanced-House-Sales-Prediction
Advanced House Sales Prediction Dashboard that gives analysis of best houses depending on various factors.
Keerthana-singupuram/Bike-Sales-Analysis
This is a bike sales dashboard created using Microsoft Excel that gives analysis depending on various factors.
Keerthana-singupuram/Global-Covid---19-Analysis
This is data analysis of the recent pandemic - Covid 19. A dashboard created using Google sheets.
Keerthana-singupuram/GTD
Global Terrorism Data Analysis consists information that includes terrorist attacks around the world from 1970 through 2017. As a Security/ Defense Analyst, the main objective of the project is to find out hot zone of terrorism, security issues and key insights through Exploratory Data Analysis.
Keerthana-singupuram/Hotel-suppliers-SQL-Project1
This project is a MySQL-based DB for managing hotel suppliers. It provides a comprehensive solution for hotels to efficiently manage their supplier information, orders, and inventory.
Keerthana-singupuram/IMDb-Top-250-Movies.
Exploratory data analysis of top 250 IMDb films with different genres and other factors.
Keerthana-singupuram/Indian-Premier-League-Analysis-Cricket
About IPL stands for Indian Premier League and this is an exploratory data analysis of sport Cricket based on various factors. As a Sport Analyst, the objective is to find the most successful teams, players and the factors contributing to win or to loose the game.
Keerthana-singupuram/MLflow---Machine-Learning-Life-Cycle.
To use mlflow for logging and querying machine learning experiments. The task is to build, log, and track multiple versions of a classification model that aims to predict the passengers who survived the titanic shipwreck.
Keerthana-singupuram/PCA-LDA
Visualizing high dimensional data using PCA and doing dimensionality reduction to check the explained variance using the PCA model. Training a Linear Discriminant Analysis(LDA) model to check if the product has been shipped or canceled.
Keerthana-singupuram/Spaceship-Titanic-Project-using-Machine-Learning.
The Spaceship Titanic Project done using some Machine Learning Algorithm as well.
Keerthana-singupuram/Spotify---Top-100-Streamed-Songs
A project that provides Exploratory Data Analysis of 'Top 100 Streaming Spotify Songs'. This data is collected from Spotify API of the year 2021.
Keerthana-singupuram/SQL_Music-Store-Analysis.
Data Analysis of Digital Music Store using SQL. The dataset contains various factors to consider in order to analyse such as music genre to music director etc.
Keerthana-singupuram/SQL_Student-Marks-Anlaysis
This is a self created small size database used to perform data analysis and extract insights of various objectives mentioned.
Keerthana-singupuram/World-Happiness-Report-2005---2021.
Analysis of World Happiness Report from 2005-2021.