kalyanidhanwada Goto Github PK

bigmart-sales-data

The big mart sales data is about how the sales of a big mart which is spread across various cities with a wide variety of products, weights, and sizes are present. The idea behind it was to work on cleaning the data and predicting future sales.

boston-housing-prices

This repository is an analysis of the Boston housing price where the data is taken from the UCI website. There are 506 samples and 13 feature variables in this dataset. The objective is to predict the value of prices of the house using the given features.

data-science-portfolio

eda-haberman-s-data

I have taken the Haber man's Data set to perform basic exploratory data analysis on the data.

face-recognition

It is a face, eyes, and smile recognition project for detecting the features of a face in an image.

githubintro

A basic introduction to teaching Git and GitHub

k-means-clustering-on-iris-data

I performed K-Means clustering on the Iris dataset to form the species of flowers into various clusters.

restaurant-sales-data-analysis

This analysis is about how the various data collected in a restaurant can be used to analyze day-to-day sales, top-selling products, customer preferences etc.

spark-grip-task

It is a regression problem wherein we predict the percentage of marks a student will obtain based upon the number of hours they study.

stroke-prediction

The aim of this analysis is to understand what are the important features in predicting heart stroke and applying various classification models to find the best one. The data set was imbalanced and had to be balanced by oversampling. The analysis reveals which is the best classifier algorithm to be used to make the accurate classification.