can collaborate with adaptive AI engine
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Updated
Feb 4, 2026 - C
can collaborate with adaptive AI engine
QBI-Observer Lite+ is an open-source cognitive self-observation module derived from QBI-Core. It detects mental loops, internal questions, and metacognitive patterns. Not AGI. Not autonomous. It’s a transparent, ethical entry point into a new class of AI: Artificial Integrated Cognition (AIC).
End to End Time Series Analysis and Forcasting
Notes on statistical learning. Currently contains probability based models, parametric and non-parametric statistical tests.
Shiny interface for growth model fit
MUSA 5000 Assignment 3
The second mission after intergration.
This aim of this project is to analyze globular star clusters in the Milky Way, in order to understand their dynamics. The conducted study examined the properties that affect the central velocity dispersion, their impact and the correlations between them.
The main goal of this project is to use various Clustering Methods for Bank Customer Segmentation.
Simple Linear Regression
Statistics-Projects done in R involving basic R Function, analyzing US Election, boxplot and confidence interval for HeartBeat using finger-arm method, analysis of voicedata to classify instrument v/s Singer data, Linear Regression, Anova Analysis and AIC For cancer data and BootStrap Analysis on CPU Time. These are projects done by Akhilesh Kum…
Supervised-ML---Multiple-Linear-Regression---Cars-dataset. Model MPG of a car based on other variables. EDA, Correlation Analysis, Model Building, Model Testing, Model Validation Techniques, Collinearity Problem Check, Residual Analysis, Model Deletion Diagnostics (checking Outliers or Influencers) Two Techniques : 1. Cook's Distance & 2. Levera…
Intro to model selection in R lecture
The solution for running AIC through other devices/OS.
GMM vs KMeans Wine Clustering with Auto Selection, PCA, t-SNE, and Evaluation
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