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.

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

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.

Scatterplot matrices with gnuplot using gretl

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

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

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

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.

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.

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

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

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.

Python- Data Visualization

finding correlation between store features and sales

Car Price Prediction

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

Used libraries and functions as follows:

Used libraries and functions as follows:

Used libraries and functions as follows:

This project analyses different clustering methods over three different datasets