There are no reviews yet. Be the first to send feedback to the community and the maintainers!
Diabetes-Prediction-App
Stocks-Price-EDA-Time-Series-Project-
## Tasks: 1) Analyze closing price of all the stocks. 2) Analyze the total volume of stocks being traded each day. 3) Analyze daily price change in stock. 4) Analyze monthly mean of close feature. 5) Analyze whether Stock prices of these tech companies are correlated or not. 6) Analyze Daily return of each stock and how they are co-related. 7) Value at risk analysis for Tech Companies.Airline-Price-Prediction-with-Deployment-
Feature-Engineering---Real-World-Dataset
Zomato-Restaurant-Rating-Prediction
Zomato-Spatial-Analysis
Data-Cleaning---Movie-Dataset
Car-Price-Prediction
Data-Cleaning---Melbourne-Housing-Dataset
YouTube-Text-Analysis
Exploratory-Data-Analysis---Terrorism
● Perform ‘Exploratory Data Analysis’ on dataset ‘Global Terrorism’ using Tableau ● As a security/defense analyst, try to find out the hot zone of terrorism. ● What all security issues and insights you can derive by EDA?DogeCoin-Price-Prediction
Loan-Status-Prediction
Bank-Note-Authenticator
Car-Selling-Price-Prediction
Data-Visualization
Chronic-Kidney-Disease-Prediction
Imputing-missing-Values-in-FIFA-Dataset
Data-Processing
Bike-Rental-Demand-Prediction
Data-Cleaning---Naukri-Dataset
Computer-Price-Prediction
Task is to create a machine learning model which can predict the price of a computer based on its specs.PyCaret
Finding-and-Handling-Outliers
Feature-Engineering-
Diamond-Price-Prediction
Business Scenario: A diamond merchant has come to you for help. They want to create an automated system to predict the apt price of a diamond based on its shape/size/color etc.Data-Cleaning---BigMart-Dataset
Prediction-using-Unsupervised-ML-K-Means-Clustering-
From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.Exploratory-Data-Analysis---Sports
● Perform ‘Exploratory Data Analysis’ on dataset ‘Indian Premier League’ ● As a sports analysts, find out the most successful teams, players and factors contributing win or loss of a team. ● Suggest teams or players a company should endorse for its products.Love Open Source and this site? Check out how you can help us