labrijisaad/Car-Price-Prediction

Car Price Prediction

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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.

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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.

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c-susan/datasci_3b_visualization

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

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ttariqaziz/python_plots_cheat_sheet

Python matplotlib, seaborn and plotly plots cheat sheet

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ankitapiu/Healthcare-Capstone

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d4rthm4ul/Data-imputation-and-visualization-intermediate

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

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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

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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

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vaitybharati/Visualization-Mat_Seaborn

Visualization using Matplotlib and Seaborn

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IsaacSantous/Marketing-Promotion-MLR-Model-Leveraging-Python

In this project, I will analyse a small business's historical marketing promotion data. Each row corresponds to an independent marketing promotion where the business uses TV, social media, radio, and influencer promotions to increase sales. The objective is to find variables that predict sales.

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atecon/PairPlot

Scatterplot matrices with gnuplot using gretl

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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

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

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

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

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

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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

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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.

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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.

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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.

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Saurav0129/Steel-Industry-Energy-Consumption-Prediction

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

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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.

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RakshaSaxena/Python-Data-Visualization

Python- Data Visualization

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

Used libraries and functions as follows:

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

Used libraries and functions as follows:

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

Used libraries and functions as follows:

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

This project analyses different clustering methods over three different datasets

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ashishyadav24092000/KNN-Algorithm

Performing the K-Nearest-Neighbor Algorithm.

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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.

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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.

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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.

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Prem-98/Simple-Linear-Regression

simple linear regression assignment

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Sumanmhalsank02/Correlation-in-Stock-Market

Correlation between 5 stock prices

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vpfahad/Housing-price-Advanced-regressionn

Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. But this playground competition's dataset proves that much more influences price negotiations than the number of bedrooms or a white-picket fence. With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.

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Develop-Packt/Exploring-and-Visualizing-Data-with-Python

Perform exploratory data analysis to visualize the distribution of values in a dataset, analyze relationships using correlation, and locate and fix data problems including missing values.

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