Toolkit for Data Science & Statistics
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Updated
May 20, 2024 - APL
Toolkit for Data Science & Statistics
Workspace for applied problems of probability theory & mathematical statistics class
Python package for early warning signals (EWS) of bifurcations in time series data.
Error propagation and statistical analysis for Markov chain Monte Carlo simulations in lattice QCD and statistical mechanics using autograd
Investment Analysis and Asset Mgmt, Time Series Analysis & Forecasting, Machine Learning in Finance & Causal Inference Methods
A simple web based tuner
This is a Streamlit web application for word correction and suggestions using natural language processing techniques
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
This notebook loads a time series of gas concentrations in the air to train a recurrent neural network to predict the next hour of data
Explore Python implementations of predictive modeling techniques like F-test, t-test, ANOVA, linear square estimation, autocorrelation, and least squares in this practical-driven GitHub repository
Forecasting
Basic methodologies of Empirical Research applied on various case studies (R language)
a Python package for unbiased estimation of timescales and hypothesis testing
Analysis of Skewness and Kurtosis in Stock Return data and their Transformations
Autocorrelator to evaluate ultrashort optical pulses
Labs of DSP2
Matlab GUIs to demo the original REPET and REPET-SIM.
REPeating Pattern Extraction Technique (REPET) in Python for audio source separation: original REPET, REPET extended, adaptive REPET, REPET-SIM, online REPET-SIM
Common vulnerabilities and exposure.
Data Science - Forecasting
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