Anoop E R's repositories
Intern-Savy
Task 1: Use classification technique for prediction of Graduate Admissions from an Indian perspective. Task 2: Customer Segmentation Analysis with Python. Task 3: Cricket Player Performance Prediction using machine learning.
Travego-Travellers----MySQL
The focus of this project is to learn how to write different types of SQL statements to insert and retrieve data from a database. For database storage, we will use MySQL.
Mobile-Price-Prediction--Python
The goal of this project is to predict the missing prices of the mobile phones by performing EDA and data cleaning on the given dataset and fitting it into the right regression model.
Bank-Personal-Loan-Modelling----Logistic-Regression
Objective: The department wants to build a model that will help them identify the potential customers who have a higher probability of purchasing the loan. This will increase the success ratio while at the same time reducing the cost of the campaign.
Titanic-Dataset----Logistic-Regression
In this challenge, we ask you to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).
Film---Rental---SQL
There is a film rental store that provides DVDs on a rental basis. The owner of this store is your friend and he is not at all computer savvy. To manage his business he has software that helps him to manage the business.
Health-Insurance-claim----MS-Excel
“Finding out the health parameters that affect health insurance claims”
Boston-Condo----Tableau
Today many big organizations are sitting on large chunks of data, not knowing what to do with it. They invite consultants & business analysts to have a look at data and come up with insights that could help the organization run their business better.
Car-Insurance-Claim----Tableau
You have been given a task to explore the data, create different plots and interpret useful insights/findings. Your end goal here will be to create a storyboard that you have to present to the Senior Management.
Terro-Real-Estate-Agency-MS-Excel-
“Finding out the most relevant features for pricing of a house” and fitting it into Linear regression to predict the price of the house.
Car-Price-Prediction-Linear-Regression-Python-
The goal here is to develop an application which can predict the price of a refurbished car based on the variables provided in the dataset. You are required to build a regression model to predict the price of a given car.
Youtube-Dislikes-Python
In a fairly recent move by Youtube, it announced the decision to hide the number of dislikes from users around November 2021. However, the official YouTube Data API allowed you to get information about dislikes until December 13, 2021. Doing an EDA-exercise can help to draw some unseen insights from this dataset.
Melbourne_housing_FULL
Fitting a Linear Regression model to the cleaned dataset.