I will do predictive modeling, regression, statistical analysis, and machine learning
Dashboard and BI, Power BI, Tableau, Kibana, Grafana, Looker, Data, Automation
About this Gig
Predictive Modeling - Build predictive models to forecast outcomes, identify trends, estimate risks, and support data-driven decisions.
Regression Analysis - Develop Linear, Multiple, Logistic, Polynomial, Ridge, Lasso, and other regression models.
Statistical Analysis - Perform descriptive statistics, correlation, hypothesis testing, ANOVA, statistical inference, and significance testing.
Machine Learning - Develop supervised and unsupervised ML models for classification, regression, clustering, and prediction.
Model Evaluation - Evaluate models using R², RMSE, MAE, MSE, accuracy, precision, recall, F1-score, ROC-AUC, and cross-validation.
Model Optimization - Perform hyperparameter tuning, model comparison, validation, and performance optimization.
Deliverables: Cleaned dataset, statistical analysis, predictive/ML models, evaluation metrics, visualizations, insights, predictions, and technical documentation.
Skills: Python, R, SQL, Pandas, NumPy, Scikit-learn, SciPy, Statsmodels, XGBoost, LightGBM, Random Forest, Regression, Classification, Clustering, Predictive Analytics, Machine Learning, Statistical Modeling, Data Science.
Programming language:
Python
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R
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SQL
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MLflow
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Amazon SageMaker
Frameworks:
Scikit-learn
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Google ML Kit
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Keras
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PyTorch
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Panda

