A wrapped package to linearize the nonlinear continuous/discrete model. Including **numerical** and **symbolic** calculations.

A linear model on NYMEX WTI Crude Oil weekly data that predicts the High and Low of each based on the Open, Close, and Volume.

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

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.

This is a R repository of studies that I made on some data sets. There are linear models, predicition models (boosting - bagging - RandomFlorest), clustering and dendograms.

This repo explores tweets and government data related to flu vaccination

Analyze data to see how Disney movies have changed in popularity since its first movie release. Also perform hypothesis testing to see what aspects of a movie contribute to its success.

Estudo de Regressão Linear efetivado a partir do Dataset disponível em <https://www.kaggle.com/marcospessotto/happiness-and-alcohol-consumption>

AHL expected goals linear model in tensorflow

Simple Linear Regression in Python using Scatter Plot. Update it with your dataset. This code will work for any dependency of form H:X->Y . I have attached a pdf document of my own notes for this model. Feel free to download. Note : The pdf is for help purpose. Any type of reuse or restructuring is subject to copyright.

Learned the fundamentals and applications in ML: Intro to Prob. & Linear algebra, Decision Theory, MLE & BE, Linear Model, Linear Discriminant function, Perceptron, FLD, PCA, Non-parametric Learning, Clustering, EM, GMM, EM and Latent Variable Model, Probabilistic Graphical Model, Bayesian Network, Neural Network, SVM, Decision Tree and Boosting

Splitting data into Linear Model, Exponential, Qaudratic, Additive seasonality , Additive Seasonality Quadratic , Multiplicative Seasonality, Multiplicative Additive Seasonality. Prediction for new time period

R programming and its application to data analysis and statistical methods

Feedback sentiment analysis (Positive, Neutral, Negative). Applied NLP to automatically identify and extract sentiment. Used Sequential and RNN model for analysis.

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 neural network that classifies handwritten digits

This repository contains the notes, codes, assignments, quizzes and other additional materials about the course "AI for Medical Prognosis" from DeepLearning.AI Coursera.

Predicting Used Car Price with Linear Model

Housing Prediction Kaggle competition https://www.kaggle.com/c/house-prices-advanced-regression-techniques