🚩 Uncertainty-Quantified (Conformal) Anomaly Detection for PyOD.
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Updated
Jul 2, 2024 - Python
🚩 Uncertainty-Quantified (Conformal) Anomaly Detection for PyOD.
**Intro to Statistics**: Discover the fascinating world of statistics with this engaging and accessible guide. Perfect for beginners, this book covers everything from p-values and t-tests to machine-learning models like random forests. Learn through practical examples and R code snippets, and unlock the power of statistical analysis.
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
A spellchecker for statistics
Conducted statistical analysis on MechaCar, a new prototype suffering from production troubles, data to provide insights that may help the manufacturing team.
Independent Project - Kaggle Dataset-- I worked on the European Soccer Dataset, using SQL (SQLite) to read in the data and then data wrangling before running statistical analysis and hypothesis testing on questions of who helps earn the most points for their team.
This package provides functions to create descriptive statistics tables for continuous and categorical variables.
Assignment-04-Simple-Linear-Regression-1 Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Mod…
Executed Regression modelling, hypothesis testing and statistical analysis to predict factors affecting credit card balances in a firm. Tools & technologies: ANOVA, p-value, R square
This project attempted to analyze if race and age had any effects on the frequency of mental health issues in older adults.
Probability and Statistics for Machine Learning
Statistical data analysis of microarray data of Pyrococcus Furiosus exposed to gamma irradiation.
Analysis of p value sets submitted to NCBI GEO database as supplementary files
Eindhoven University of Technology (TU/e) course "Improving your statistical inferences" by Daniel Lakens on Coursera (completed Dec 2022).
Empirical Bayes factors for objective statistical evidence
Case study from UDACITY Data Scientist Nanodegree
In this project, the model is save and reused for prediction. Also, it is being containerize with docker to be ready for deployment.
project to predict smartphone sales based on the marketing budget spent on advertising using three platforms involves collecting data on marketing spending and smartphone sales, and using statistical and machine learning techniques to build a model that can predict future smartphone sales based on changes in marketing budget.
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