LAMA - automatic model creation framework
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Updated
Apr 14, 2022 - Python
LAMA - automatic model creation framework
Basic exercises of chinese information processing
Detect whether a social media comment is insulting or derogatory
A demo showcasing linear regression, reduced-rank regression and a linear system identification algorithm for modelling time series -- and when to apply them.
Kernel Localized Linear Regression (KLLR)
MLJ.jl interface for GLM.jl models
A statistics package with a variety of bootstrap and other resampling tools
This Model is used to Predict Emails data. Either emails are Spam or Normal (Ham) Mail.
Practical Extension of Introductory Statistics in Psychology using R
Tool demonstrating building credit risk models
This repository contains the notes, codes, assignments, quizzes and other additional materials about the course "AI for Medical Prognosis" from DeepLearning.AI Coursera.
TensorFlow2 digits classification - Linear Classifier and MLP
This is a mini project based on two pre-trained models Linear and Convolutional neural networks, and perform predictions in real time according to a draw area where you can draw the digit using the mouse.
Using the logistic regression model to solve some real-world problems, we can explorer different possibilities and outcomes from it.
Assignment-06-Logistic-Regression. Output variable -> y y -> Whether the client has subscribed a term deposit or not Binomial ("yes" or "no") Attribute information For bank dataset Input variables: # bank client data: 1 - age (numeric) 2 - job : type of job (categorical: "admin.","unknown","unemployed","management","housemaid","entrepreneur","st…
A statistics package with a variety of bootstrap and other resampling tools. This repository is synced to the same-named repository owned by GNU-Octave. It exists to facilitate publication of the developmental version of the statistics-resampling toolbox at MathWorks FileExchange.
A wrapped package to linearize the nonlinear continuous/discrete model. Including **numerical** and **symbolic** calculations.
find the chance of admission of a candidate based on his/her GRE Score (out of 340), TOEFL Score (out of 120), rating of the University (out of 5) in which he/she is trying to get admission, Strength of the SOP (out of 5), strength of the Letter Of Recommendation (out of 5), CGPA (out of 10) and the research experience (0 or 1) deployed on GCP
A free and open-source toolkit has been developed using an anthropomorphic arm model, allowing any data set containing joint angles over time to be implemented to visualise motion for kinematic analysis.
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