The main objective of this project is predicting rainfall for each day of the year. For this project i used pyspark, and Machine Learning
-
Updated
Jul 4, 2025 - Python
#
eda-analysis
Here are 4 public repositories matching this topic...
We use machine learning and data analysis to predict resale prices of Singapore flats. Our documentation covers data preprocessing, feature engineering, regression, and model selection. Discover how we improved predictions to optimize solutions.
python machine-learning numpy pandas-dataframe plotly cross-validation statistical-analysis outlier-detection data-preprocessing data-cleaning feature-scaling regression-algorithms streamlit-dashboard render-deployment category-encoder eda-analysis
-
Updated
Jun 19, 2024 - Python
We leverage machine learning and data analysis to address real-world challenges in the copper industry. Our documentation encompasses data preprocessing, feature engineering, classification, regression, and model selection. Explore how we've enhanced predictive capabilities to optimize manufacturing solutions.
python machine-learning numpy plotly cross-validation pandas statistical-analysis outlier-detection data-preprocessing dataframe data-cleaning feature-scaling smote classification-algorithm regression-algorithms category-encoder eda-analysis
-
Updated
Jun 11, 2024 - Python
This project helps user to perform trend analysis, pattern recognition, and deriving data insights through exploratory data analysis (EDA) for the Airbnb data. Created an interactive Powerbi dashboard to analyze Airbnb data.
python data-science pandas-dataframe plotly data-visualization powerbi data-cleaning data-scraping geo-visualization streamlit-dashboard eda-analysis
-
Updated
May 21, 2024 - Python
Improve this page
Add a description, image, and links to the eda-analysis topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the eda-analysis topic, visit your repo's landing page and select "manage topics."