📊 A financial correlations library for Elixir, fully compatible with the elixir Decimal library.
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Updated
Nov 2, 2020 - Elixir
📊 A financial correlations library for Elixir, fully compatible with the elixir Decimal library.
IU Lessons
A mini paper in machine learning which determines factors that affect Twitch stream views. Data obtained from Kaggle.
ТурбоХакатон на платформе codenrock.com (DBSCAN, seaborn, matplotlib)
There are implemented some data mining and data processing algorithms over the NYC yellow taxies dataset, which have been provided in Kaggle.
Find and Compute optimal submatrix of invalid correlation matrix
Repo where different methods for price regression are used (supervised machine learning)
it is a comprehensive collection of data analysis and visualizations. It cover a wide range of scenarios, from exploring employee productivity and landscaping job completion times to assessing the overall productivity of a business.
Data Analysis for Bellabeat, extracting valuable insights on consumer smart device usage. The findings informed impactful marketing strategies, showcasing expertise in data analysis, problem-solving, and effective communication of insights.
Cardiovascular Disease Prediction using NHANES dataset, leveraged (dk what not) classifiers such as SVM, LR, RF, XGBoost, KNN, C5, BaggedCART, etc. Shiny UI for showcasing predictions
Implementation of the paper https://arxiv.org/abs/1909.10140 proposed correlation function.
Instant Polychoric and Polyserial Correlation
Identify the most important variables that contribute to the level of sustainability of schools using supervised machine learning. Use the importance to assign a weight to each characteristic and calculate a sustainability index for each school.
This repository includes a small project that includes main ML topics as a reference.
R Shiny App to determine the factors that are most influential in patients’ survival of CHD. I created a Logistic Regression model in R using RStudio to predict the survival of CHD patients. Retrieved the data from the PHIS database using SQL & built tableau dashboards. The model predicted the survival of CHD with an AUC of over .90 and indicate…
PySpark for multiple linear regression on car horsepower using SMOTE for data augmentation.
This project involves analyzing different aspects of Diabetes in the Pima Indians tribe by doing Exploratory Data Analysis.
This repository contains codes, datasets, results, and reports of a machine learning project on air quality prediction.
NearestNeighbors and correlation matrix for book recommendation.
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