pairplot

vaitybharati/Assignment-05-Multiple-Linear-Regression-2

Assignment-05-Multiple-Linear-Regression-2. Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in the past few years State -- states from which data is collected Profit -- profit of each state in the past few years.

jayeshbhandarkar/Iris-Dataset-Prediction-using-Unsupervised-ML

Iris-Dataset-Prediction-using-Unsupervised-ML This project involves the analysis of the Iris dataset using Python. It includes code to determine the optimum number of clusters using the K-means clustering algorithm, visualizations such as scatter plot, pair plots and hist plots, and other insights into the dataset.

lovpatel93/PIMA_Indian_Diabetes_DataSet

The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset

vaitybharati/Assignment-05-Multiple-Linear-Regression-1

Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.

siddarthkrishna10/Project_Zlatan

A simple analysis of Zlatan Ibrahimović's club career.

ankitapiu/Healthcare-Capstone

c-susan/datasci_3b_visualization

HHA507 / Data Science / Assignment 3b / Data Visualization with Seaborn and Plotly

d4rthm4ul/Data-imputation-and-visualization-intermediate

Imputation and Visualization of a dirty bank data with the help of NumPy, Pandas, Matplotlip and Seaborn libraries.

Saurav0129/Steel-Industry-Energy-Consumption-Prediction

The dataset used for this project is taken from the official UCI Machine Learning Repository.

ttariqaziz/python_plots_cheat_sheet

Python matplotlib, seaborn and plotly plots cheat sheet

vaitybharati/P05.-Seaborn-Visualization

Strip Plot, Grouping with Strip Plot, Swarm Plot, Box and Violin Plot, placing plots together, Combining the plots, Joint Plot, Density Plot, Pair Plot

vaitybharati/P06.-Seaborn-Visualization-Titanic

Seaborn Visualization on Titanic Dataset Visual exploration of different features on No. of people survived or otherwise Visualization using FacetGrid function, Lambda function and criterion function Visualization of subplots

vaitybharati/Visualization-Mat_Seaborn

Visualization using Matplotlib and Seaborn

andrewsunsanto/DSBAProject1

1st Project for the Post Graduate Programme in Data Science and Business Analytics at the University of Texas at Austin - Exploratory Data Analysis

Goww-99/TSF-GRIP_Task-3_Sol3-by-GV

Task-3 Completed as a DSBA Intern @ The Sparks Foundation

Goww-99/TSF-GRIP_Task-6_Solution-by-GV

This is the repository for Task-6 Completed as a DSBA Intern @ The Sparks Foundation

Kr1shna304/GRIP_Prediction_Using_Unupervised_ML

This repository contains the file for the task that was done as part of my internship in The Sparks Foundation with specialization - Data Science & Business Analytics.

kristiyamashita/MIT-ADSP---Diabetes-Analysis

This project involves analyzing different aspects of Diabetes in the Pima Indians tribe by doing Exploratory Data Analysis.

Mahamad-Jameer-Makandar/Data-Visualization-on-Honey-Production-dataset-using-seaborn-and-matplotlib-libraries

Explore honey production dynamics (1998-2012) in the U.S. amid declining bee populations using Python's seaborn and matplotlib. Visualize key attributes like colonies, yield, production, price, and stocks to draw insights into the impact on American honey agriculture.

MicheleNANA/Projet-8

DETECTER DES FAUX BILLETS AVEC PYTHON

muskans12/Seaborn-Visualization

Seaborn is a Python data visualization library based on matplotlib . It provides a high-level interface for drawing attractive and informative statistical graphics.

nikita-bachhas/A-Technical-Review-of-Clustering

This project analyses different clustering methods over three different datasets

PatilSukanya/Assignment-05.-Multiple-Linear-Regression-Q1

Used libraries and functions as follows:

PatilSukanya/Assignment-05.-Multiple-Linear-regression-Q2

Used libraries and functions as follows:

phancykemunto/Exploratory-Data-Analysis-EDA-

Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. In this exercise, iris data was visualized using box plots, pairplot, subplot, and scatter plots for better comprehension of the dataset.

princeAnalytics/Seaborn

In the particular notebook i have made some of the widely useful charts and graphs in the industry to visualize the data with the meaningful insights which will help stakeholders to get an better understanding of the current scenario of the company's infrastructure.

RakshaSaxena/Python-Data-Visualization

Python- Data Visualization

shwetapardhi/Assignment-05-Multiple-Linear-Regression-1

Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.p

ashishyadav24092000/KNN-Algorithm

Performing the K-Nearest-Neighbor Algorithm.

ashishyadav24092000/Seaborn_visualisations

Here we will be taking two dataset from the seaborn library itself i.e. the tip and iris dataset to perform continuous and categorical datapoint visualisations.

elsahsu/store_features_effect_on_sales

finding correlation between store features and sales

harmanveer-2546/Predicting-Schizophrenia-Disorder

The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase

PatilSukanya/P01.Matplotlib-Seaborn-Titanic-Dataset-Visualization

Used libraries and functions as follows:

Prem-98/Simple-Linear-Regression

simple linear regression assignment

PriyankaSett/obesity_multiclassification

Given a person's data, the task is to predict that in which category the person's weight should fit in. This is a Multiclassification project.