GitHub / shridhar1504 / Sales-Forecasting-Datascience-Project
Develop a data science project using historical sales data to build a regression model that accurately predicts future sales. Preprocess the dataset, conduct exploratory analysis, select relevant features, and employ regression algorithms for model development. Evaluate model performance, optimize hyperparameters, and provide actionable insights.
Stars: 8
Forks: 5
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 1.48 MB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: about 2 months ago
Pushed at: almost 2 years ago
Last synced at: 21 days ago
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Commits: 4
Authors: 1
Mean commits per author: 4.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/shridhar1504/Sales-Forecasting-Datascience-Project
Topics: data-analytics, data-cleaning, data-science, data-testing, data-visualization, forecasting-models, machin, model-evaluation, model-fitting, prediction, predictive-modeling, python3, regression-algorithms, salesforecast, sklearn-library, supervised-learning