Data Analysis
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About this service
Summary
Evaluated diverse regression models including CatBoost, XGBoost, SVM, and ensemble techniques, Linear regression, Random Forest, Neural Network, KNN, Decision Tree on the California Housing Dataset. Assessed model performance using metrics such as Mean Squared Error, Root Mean Squared Error, and R-squared. Visualized predictions against actual target values for comprehensive analysis.
What's included
Data Cleaning and Preprocessing
Deliver cleaned and preprocessed datasets that are ready for analysis.
Exploratory Data Analysis (EDA)
Share visualizations, summary statistics, and insights from your initial data exploration.
Statistical Analysis
Perform statistical tests or modeling as necessary to answer the project's research questions
Example projects
Skills and tools
Data Scientist
Data Analyst
Jupyter Notebook
Python
PyTorch
R
SQL