.github

EddieHub Org

car-prices-one-hot-encoding

car-prices-prediction-with-train-and-test-split

global-superstore-visualization

PowerBi-Project

insurance-premium-prediction-using-multiple-linear-regression

mohitbhadauria02

movies-recommender-system

nlp-spam-ham-classifier

A Machine learning classifier to predict whether the SMS is Spam or Ham by using Natural Language Processing(NLP)

red-wine-quality-prediction

Introduction For this project, we will do exploratory data analysis with the data we got from UCI Machine Learning, then we will try to find the ML model that will best predict the quality of our wine based on the data.

salary-data-prediction-using-simple-linear-regression

sms-spam-classification

A Machine learning classifier to predict whether the SMS is Spam or Ham by using Natural Language Processing(NLP)

spam-ham-classifier-ineuron-internship

Config files for my GitHub profile.

tokyo-olympic-2021-using-sql

tsf-internship-task1

Prediction on student scores depending on study hours.

tsf-internship-task2

To predict optimum number of clusters and represent it visually using Unsupervised Machine Learning.

tsf-internship-task3

We have tried to find out the weak areas where we can work to make more profit.

tsf-internship-task4

Data Science and Business Analysis Internship at The spark Foundation

tsf-internship-task5

Exploratory Data Analysis - Sports

zomato-dataset-using-exploratory-data-analysis

Zomato is an Indian Multinational restaurant aggregator and food delivery company founded by Deepinder Goyal and Pankaj Chaddah in 2008. Zomato provides information, menus and user-reviews of restaurants as well as food delivery options from partner restaurants in selected cities. This dataset containing information of food restaurants in bangalore who are working with Zomato. The data was scraped from Zomato in two phase. After going through the structure of the website I found for each neighborhood there are 6-7 category of restaurants viz. Buffet, Cafes, Delivery, Desserts, Dine-out, Drinks & nightlife, Pubs and bars. So, here we are trying to find the best restaurants for customer depends on their need.