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

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.

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

Higher Diploma in Science in Computing (Data Analytics) - Programme Module: Programming and Scripting (COMP08049)

Python- Data Visualization

Used libraries and functions as follows:

Performing the K-Nearest-Neighbor Algorithm.

Visualization using Matplotlib and Seaborn

This project analyses different clustering methods over three different datasets

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.

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 describin…

Used libraries and functions as follows:

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

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.

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

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

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