Pinned Repositories
Data-Visualization-With-Tableau
Solve real industry problems using Tableau. Each problem contains some Business Scenario and solution is provided with a tableau file which contains visual and story.
EDA-Plotly-Express
Explanatory data Analysis with plotly Express
first-repo
this is the first repository
github-data-connector
A Tableau Web Data Connector for Github
Hands-on-Exploratory-Data-Analysis-with-Python
Hands-on Exploratory Data Analysis with Python, published by Packt
house-price-prediction
Predicting house prices using Linear Regression and GBR
LinearRegression
Linear Regression and polynomial regression using Python
Movie-Database-Analyisis
This project investigates various aspects of "The Movie Database" (TMDB). The project starts with a breif descibtion of the rationale behind the data wrangling done and the Python code for cleaning and trimming the dataset for the analysis of the project. Then, the analysis of the projected are presented in two sections: 1) Comparison between my favorite directors in terms of movie rating, runtime and profit; 2) How have the popularity, revenues and budgets of superhero movies change over the last 20 years?
new
python-HackerRank
aruna-pyt's Repositories
aruna-pyt/Data-Visualization-With-Tableau
Solve real industry problems using Tableau. Each problem contains some Business Scenario and solution is provided with a tableau file which contains visual and story.
aruna-pyt/Hands-on-Exploratory-Data-Analysis-with-Python
Hands-on Exploratory Data Analysis with Python, published by Packt
aruna-pyt/house-price-prediction
Predicting house prices using Linear Regression and GBR
aruna-pyt/EDA-Plotly-Express
Explanatory data Analysis with plotly Express
aruna-pyt/first-repo
this is the first repository
aruna-pyt/github-data-connector
A Tableau Web Data Connector for Github
aruna-pyt/LinearRegression
Linear Regression and polynomial regression using Python
aruna-pyt/Movie-Database-Analyisis
This project investigates various aspects of "The Movie Database" (TMDB). The project starts with a breif descibtion of the rationale behind the data wrangling done and the Python code for cleaning and trimming the dataset for the analysis of the project. Then, the analysis of the projected are presented in two sections: 1) Comparison between my favorite directors in terms of movie rating, runtime and profit; 2) How have the popularity, revenues and budgets of superhero movies change over the last 20 years?
aruna-pyt/new
aruna-pyt/python-HackerRank
aruna-pyt/second_repo
aruna-pyt/titanic_survival
In this project, I have created decision functions that attempt to predict survival outcomes from the 1912 Titanic disaster based on each passenger’s features, such as sex and age.