End-to-End Data Science Projects with Source Code

Learn about the workflow of practical applications of the Data Science field to improve the skills and create a portfolio. Projects that involve handling end-to-end projects give great insights into data pre-processing, analysis, modelling, and even on how to deploy the solution into production. Here are some exciting project ideas with source code.
House Price Prediction: Employ multiple line regression analysis in order to forecast property’s value depending on location, size, as well as amenities.
Customer Segmentation: Use clustering approach to sort out customers for appropriate marketing strategies.
Credit Card Fraud Detection: Propose a model of classification that can identify doubtful transactions.
Sentiment Analysis: Another advance is in applying natural language processing (NLP) performance to analyse public sentiment from social papers.
Sales Forecasting: Analyse sales data through time series analysis to make future sales forecasts.
All the projects entail data gathering, pre-processing, data exploration, data transformation, building, and evaluating models, and implementation. Having detailed source codes, you can comprehend what has been done and then practice it or apply it in practice.
Begin your data science experience with these exercises and demonstrate your talents. Open the door to data analysis for business problems now!