pitaconsumer/pitaconsumer.github.io.

My portfolio website regarding data science projects. Some visualization and analysis projects reflect work for PITAPOLICY clients.

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easystats/parameters

:bar_chart: Computation and processing of models' parameters

Language: R - Size: 88.9 MB - Last synced: 1 day ago - Pushed: 3 days ago - Stars: 403 - Forks: 38

khetansarvesh/Tabular-Cross-Sectional-Modelling

Implementation of algorithms such as normal equations, gradient descent, stochastic gradient descent, lasso regularization and ridge regularization from scratch and done linear as well as polynomial regression analysis. Implementation of several classification algorithms from scratch i.e. not used any standard libraries like sklearn or tensorflow.

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Kushwanthchitipotu/ML_fundamentals

Some exercises codes on basics of machine learning built from scratch with basic libraries like numpy ,math.

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unslothai/hyperlearn

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

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ddsjoberg/gtsummary

Presentation-Ready Data Summary and Analytic Result Tables

Language: R - Size: 666 MB - Last synced: about 18 hours ago - Pushed: about 24 hours ago - Stars: 953 - Forks: 108

Shanmukhi1920/Energy_Efficiency_Prediction

Predicting building heating and cooling loads from it's architectural features using ML and utilizing MLflow for experiment tracking.

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giuliabrambilla/housing-regression-classification

🏠 Real estate-themed Python script using regression and classification models to predict houses' price and quality.

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giuliabrambilla/car-price-project

🚗 Python exercise using ML regression models to predict Toyota cars' sales price.

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IndrajeetPatil/ggstatsplot

Enhancing {ggplot2} plots with statistical analysis 📊📣

Language: R - Size: 2.14 GB - Last synced: about 21 hours ago - Pushed: 1 day ago - Stars: 1,934 - Forks: 179

matheussooares/kinematics-robotics

Implementação do Trabalho de conclusão de curso, com o tema definido "Aproximação da cinemática inversa de um robô manipulador didático através de algoritmos de aprendizado de máquina"

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rizquadnan/LinearRegression-Gradient-VS-Sklearn-

Comparison between sklearn regression model ( Ordinary Least Squares ) and gradient descent based linear regression

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Parin30/AI-ML-Projects

A collection of AI and ML projects demonstrating various techniques, algorithms, and applications.

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seconlon99/Data_Science_Portfolio

Demos of various data science projects I completed - August 2023 to present. Mostly Module Assignments from MIT Course. Will add personal projects in the future here as well.

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strengejacke/sjstats

Effect size measures and significance tests

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aka-gera/Regression

Exploring Regression Analysis with Publicly Available Datasets

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ds-pouya/Regression

Applied Regression Analysis on various datasets

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fernandezfran/galpynostatic

:zap::battery: A Python/C++ package with physics-based models to predict optimal conditions for fast-charging lithium-ion batteries

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kristianJW54/ML-Models-and-Projects

A list of MI-AI Projects and Model builds

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aml4td/website

Website sources for Applied Machine Learning for Tabular Data

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Kapshtyk/DS-ML

This repository contains examples of Data science / Data analysis projects.

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NishkarshRaj/100DaysofMLCode

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

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rohansattarapu18/chicago_crime_rate_prediction

Using R programming This repository includes data, scripts, and documentation for analyzing and predicting crime rates in Chicago using weather data, featuring models like Linear Regression and Random Forest, and ARIMA for time series analysis.

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config-i1/greybox

Regression model building and forecasting in R

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meiyulee/MathAI

免費數字驅動的數學模型人工智能 | 為你的數字規律建立數學模型 | C語言免安裝軟體

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ninadpatil09/Property-Insurance-Premium-Prediction

This project aims to predict property insurance premiums using machine learning techniques. The dataset consists of various features related to insurance policies and properties. The goal is to build models that can accurately predict the annual premium based on these features.

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Super1305/Machine_Learning

Python scripts with solutions for different Machine Learning tasks

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pavleen14/Machine-Learning-Lab

Experiments for machine learning lab (ETCS 402) have been added here.

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WaliMuhammadAhmad/RegressionModels

This repo contains various Regression Models

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LukaMatcharashvili/ML-Lib

Machine Learning Library for C++

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AtharvaKulkarniIT/ParkinsonsTelemonitoringInsights

This R-based data science project on the UCI Parkinson's dataset employs machine learning (Decision tree, Random Forest, SVM, XGBoost) with a focus on hyperparameter tuning and feature selection. This repository showcases insights into Parkinson's disease prediction using effective data science practices.

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amuraddd/project-portfolio

Portfolio containing projects on supervised and unsupervised learning, algorithms, as well as exploratory analysis and visualizations.

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SarthakRana/ML-Regressors

This repo contains 6 regression models of supervised learning under Machine Learning :)

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leylatulu/Evaluation-of-Regression-Model

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mmahdin/DM-Project2-Regression-AssociationRule

regression analysis and association rule mining

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Ashleshad/WalmartSales

Machine Learning Project to predict ratings.

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bambinos/bambi

BAyesian Model-Building Interface (Bambi) in Python.

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BlackSound1/Canadian-housing-prices-ML-pipeline

Mage-AI pipeline to estimate Canadian housing prices

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moderndive/ModernDive_book

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

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FAIZANTKHAN/Regression-Project-Bangalore-Property-Price-Prediction

🏠 Bangalore Property Price Prediction is a comprehensive project designed to accurately predict property prices in Bangalore. Leveraging advanced regression techniques and a dataset sourced from Kaggle, the model undergoes meticulous feature engineering, data cleaning, and parameter tuning to ensure high accuracy.

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UPstartDeveloper/samaj

Implementing classic machine learning algorithms from scratch with NumPy.

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tohid-yousefi/Predicting_Body_Fat_Using_Regression_MLA

In this section we will be predicting body fat using regression machine learning algorithms

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damianstone/ML-algorithms

From data preprocessing to deep learning

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gatonisa/from0to1

Some projects that I've worked on to harness the power of machine learning and data science 🙌🏻

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MusfiqDehan/ML-Algos-From-Scratch

Practice Implementation of All the Important ML Algorithms from Scratch as a Part of Master's Machine Learning Course.

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ayush-477/Bank_default_prediction_code

The objective of this project is to showcase the use of Machine Learning models to answer the question of loan default prediction based on certain parameters from the German bank dataset.

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Ishank-jn/START-GTD-Project

This project is an attempt to use START Global Terrorism Dataset to target a regression problem and identify region for probable terror attack. Predict number of casualties in a terrorist attack, based on a custom metric.

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KhaledAleikish/MasterThesis2020

Hybrid Machine Learning and Mechanistic Thermal Model of Synchronous Generator

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owenwienczkowski/StockMarketMachineLearningModel

Regression machine learning model to analayze past stock market history to form predictions on future stock market activity. Read more in README.

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sharmilathirumalai/Restaurant-Price-Forecaster

Predictive Modelling through Regression

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ararslan/BetaRegression.jl

Regression models for beta distributed responses in Julia

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kevinndungu-source/Machine_Learning_Project

Machine Learning.

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IlyesBB/predict_electric_consumption

Prédiction des consommations électriques de bâtiment pour la ville de Seattle.

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VivekPa/IntroNeuralNetworks

Introducing neural networks to predict stock prices

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Jacer7/python-streamlit_ML_prediction

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atse0612/busterposey

Analyzing regression to determine correlation on Buster Posey's season.

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your-lithium/projector-project

A project on predicting cars' prices on auto.ria.

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easystats/easystats

:milky_way: The R easystats-project

Language: R - Size: 522 MB - Last synced: 16 days ago - Pushed: 16 days ago - Stars: 1,023 - Forks: 76

dominance-analysis/dominance-analysis

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

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Ahmed-Naseer-01/ML-Chronicles-Mini-Projects-in-Machine-Learning

mini-projects in Machine Learning

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fsolt/dotwhisker

Dot-and-Whisker Plots of Regression Results

Language: R - Size: 10.2 MB - Last synced: 14 days ago - Pushed: 15 days ago - Stars: 56 - Forks: 10

JuliaAI/MLJLinearModels.jl

Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)

Language: Julia - Size: 583 KB - Last synced: 15 days ago - Pushed: 2 months ago - Stars: 80 - Forks: 12

KalyanM45/Student-Perfomance-Prediction

The primary objective of this project is to develop a predictive model that can forecast the performance of students in their academic projects. The model aims to help educators and institutions identify students who may need additional support or intervention early in the project development process, ultimately enhancing overall student success.

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lk-learner/Google-Advanced-Data-Analytics-Professional-Certificate

The Google Advanced Data Analytics Professional Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepare for jobs like Senior Data Analyst.

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codeperfectplus/BengaluruHousePriceRegression

Bengaluru House :house_with_garden: Price Using Regression

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zeeshanmulla/Machine-Learning-Algorithms

ML Algorithms notebook with dataset. Will keep on Updating this Repo.

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IntegerMan/HockeyPenaltyPrediction

A machine learning experiment to predict NHL penalty minutes based on matchups using Azure Machine Learning and automated machine learning

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lucastanger/realestate_investment_analysis

:chart_with_upwards_trend: Realestate price prediction using machine learning regression models

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Drinkler/Real-Estate-Analysis

:house: Real Estate Analysis and Price Prediction based on fictitious data

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iamrajee/Machine-Learning

ML code in of Jupiter notebook

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srajan-kiyotaka/Regression-Problem

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Ohara124c41/MLND-Finding_Donors

Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modified F-scoring metric, and algorithm efficiency.

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lowhung/regression-regularization

Algorithms for logistic regression, including regularization, soft-max loss and classifier

Language: Python - Size: 861 KB - Last synced: 16 days ago - Pushed: almost 7 years ago - Stars: 0 - Forks: 0

tobi303x/Machine-Learning-Projects

Hands-on machine learning projects covering various techniques and algorithms. Each project provides practical examples and exercises.

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shubham5027/Store-Item-Demand-Forcasting

The "Sales Demand Forecasting Regression Model" project aims to develop a predictive model that forecasts future sales demand based on historical data and relevant influencing factors. The project follows a structured approach, encompassing data collection, preprocessing, model selection, training, evaluation, and deployment.

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sofiasfunes/Business-Analytics-Maters-Projects

Business Analysis Masters Projects

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Drinkler/Yield-Prediction

:seedling: Crop Yield Prediction using Machine Learning

Language: Jupyter Notebook - Size: 11.2 MB - Last synced: 15 days ago - Pushed: about 3 years ago - Stars: 44 - Forks: 23

zoekelepiri/Statistical-Data-Analysis

Statistical Data Analysis of Ames housing dataset

Language: R - Size: 2.33 MB - Last synced: 18 days ago - Pushed: 18 days ago - Stars: 0 - Forks: 0

katreparitosh/Predictive-Analysis-Of-House-Prices-Kaggle

A solution for predicting sales prices using Regression Techniques.

Language: Jupyter Notebook - Size: 179 KB - Last synced: 19 days ago - Pushed: over 5 years ago - Stars: 1 - Forks: 0

uber/orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

Language: Python - Size: 160 MB - Last synced: 16 days ago - Pushed: about 2 months ago - Stars: 1,804 - Forks: 135

jonathan-pap/ML_Foundations

Course offered via Coursera.

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marceladoradomunoz/regresion_lineal

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DouglasVolcato/return-over-investment-regression-model

Return over investment machine learning regression model

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zavtech/morpheus-core

The foundational library of the Morpheus data science framework

Language: Java - Size: 56.1 MB - Last synced: 14 days ago - Pushed: 5 months ago - Stars: 235 - Forks: 22

otavioml/Chess-Data-Analysis

Analysis of thousands of games from the website Lichess to understand how every aspect of a game affects the result using Data Science principles.

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princebunkcy/Predictive-analysis

Supervised Machine Learning - Regression

Language: Python - Size: 869 KB - Last synced: 21 days ago - Pushed: 21 days ago - Stars: 0 - Forks: 0

chunche95/IntroMachineLearning

Introduccion a Machine Learning: Sistemas de regresión & clasificación, algoritmos de clusterización, sistemas de recomendación, Machine Learning. Autor: Paulino Esteban Bermúdez R.

Language: Jupyter Notebook - Size: 467 MB - Last synced: 21 days ago - Pushed: 21 days ago - Stars: 0 - Forks: 0

kamal-dev/diamond-price-prediction

This is a regression ML project related to diamond prediction.

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HoldenCole/Commodities-Analysis

Trying to build a repository that can be used to analyze & forecast commodities prices

Language: Python - Size: 126 KB - Last synced: 22 days ago - Pushed: 22 days ago - Stars: 0 - Forks: 0

hongooi73/glmnetUtils

Utilities for glmnet

Language: R - Size: 318 KB - Last synced: 20 days ago - Pushed: 8 months ago - Stars: 63 - Forks: 18

StatisticalRethinkingJulia/StatisticalRethinking.jl

Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.

Language: Julia - Size: 1.23 GB - Last synced: 17 days ago - Pushed: 3 months ago - Stars: 383 - Forks: 33

omarr-gamal/Taxi-Demand-Regression-with-Machine-Learning

Machine Learning Model built with Python and trained on a dataset of NYC's Year 2015 Taxi demands in order to predict demands on Taxies in different times of day and year.

Language: Python - Size: 2.43 MB - Last synced: 22 days ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

samuelleach/miramare

Miramare healpix analysis tools and a composable maximum likelihood component separation technique.

Language: FORTRAN - Size: 922 KB - Last synced: 23 days ago - Pushed: almost 10 years ago - Stars: 2 - Forks: 0

Netanelshoshan/freqAI-LSTM

TensorFlow LSTM model for freqtrade

Language: Python - Size: 58.6 KB - Last synced: 23 days ago - Pushed: 23 days ago - Stars: 28 - Forks: 8

stuartnankai/MasterThesis

Language: Python - Size: 72.1 MB - Last synced: 23 days ago - Pushed: about 6 years ago - Stars: 0 - Forks: 0

vitordeoliveira/MachineLearning_Regression

Boiler Templates of Machine Learning Regressions. For Python and R

Language: Jupyter Notebook - Size: 109 KB - Last synced: 23 days ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

Himanshu-Barange/Multiple-Regression-Student-Performance

Predicting Student Performance based on multiple factors.

Language: Jupyter Notebook - Size: 1.46 MB - Last synced: 23 days ago - Pushed: 23 days ago - Stars: 0 - Forks: 0

Altron01/Credit-Card-Fraud-Detection

A machine learning credit card fraud detection model for the kaggle challenge: https://www.kaggle.com/mlg-ulb/creditcardfraud

Language: Jupyter Notebook - Size: 2.62 MB - Last synced: 23 days ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

Muhammad-Sheraz-ds/Predicting-Insurance-Claim

In this comprehensive machine learning project, I executed the entire machine learning life cycle. Designed a streamlined and visually appealing interface using Streamlit. Ensuring a user-friendly experience for individuals to input their relevant information effortlessly. Handed off well-documented and easily modifiable code.

Language: Jupyter Notebook - Size: 74.3 MB - Last synced: 23 days ago - Pushed: 3 months ago - Stars: 1 - Forks: 1

margorczynski/okkam

Using GA to search polynomials that fit a given dataset

Language: Rust - Size: 326 KB - Last synced: 23 days ago - Pushed: 23 days ago - Stars: 2 - Forks: 0