Topic: "regression-algorithms"
anish-lakkapragada/SeaLion
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
Language: Python - Size: 37.9 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 337 - Forks: 37
harunurrashid97/100-Days-Of-ML-Code
A day to day plan for this challenge. Covers both theoritical and practical aspects
Language: Jupyter Notebook - Size: 11.8 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 228 - Forks: 111
yacineMahdid/artificial-intelligence-and-machine-learning
A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm
Language: Jupyter Notebook - Size: 35.9 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 164 - Forks: 91
alessandroragano/scoreq
SCOREQ: Speech COntrastive REgression for Quality Assessment (NeurIPS 2024)
Language: Python - Size: 1.48 MB - Last synced at: 11 days ago - Pushed at: 2 months ago - Stars: 90 - Forks: 7
closest-git/LiteMORT
A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.
Language: C++ - Size: 1.47 MB - Last synced at: 16 days ago - Pushed at: over 5 years ago - Stars: 56 - Forks: 9
egaoharu-kensei/ML-algorithms-from-scratch.-Course-for-beginners
ML-algorithms from scratch using Python. Classic Machine Learning course.
Language: Jupyter Notebook - Size: 21 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 48 - Forks: 14
lalvim/PartialLeastSquaresRegressor.jl
Implementation of a Partial Least Squares Regressor
Language: Julia - Size: 172 KB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 41 - Forks: 6
codophobia/CricketScorePredictor
Using machine learning algorithms to predict first innings score in limited overs cricket matches
Language: Python - Size: 5.03 MB - Last synced at: 5 months ago - Pushed at: over 6 years ago - Stars: 41 - Forks: 31
SanikaVT/Real-Estate
Machine learning Regression problem with easy understandable solutions
Language: Jupyter Notebook - Size: 17 MB - Last synced at: 4 months ago - Pushed at: about 7 years ago - Stars: 36 - Forks: 28
vikrantarora25/Car-Price-Prediction-Highly-Comprehensive-Linear-Regression-Project-
A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions validity.
Language: Jupyter Notebook - Size: 3.39 MB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 32 - Forks: 18
ikosmidis/brglm2
Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction
Language: R - Size: 4.63 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 31 - Forks: 11
Ooples-Finance-LLC/AiDotNet
A new library for all of the newest ai algorithms
Language: C# - Size: 10.9 MB - Last synced at: 13 days ago - Pushed at: 18 days ago - Stars: 30 - Forks: 7
gregorLen/S-ANFIS-PyTorch
An Implementation of the State-Adaptive Neuro-Fuzzy Inference System (S-ANFIS) based on Pytorch. Also Repository to my package "sanfis".
Language: Python - Size: 1.94 MB - Last synced at: 17 days ago - Pushed at: about 3 years ago - Stars: 28 - Forks: 6
DannyVanpoucke/LSSVMlib
This repository provides a Python3 Library with implementations of the Least-Squares Support Vector Machine (LS-SVM) machine learning model. The Classes are designed to integrate smoothly with the scikit-learn library.
Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 26 - Forks: 13
Bhardwaj-Saurabh/Machine_Learning_Specialization_AndrewNG_Coursera
This repository contains all the Lab and Assignments from Andrew NG Machine Learning Specialization Course on Coursera.
Language: Jupyter Notebook - Size: 23.2 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 25 - Forks: 8
tonio73/data-science
Notebooks and Python about data science
Language: Jupyter Notebook - Size: 128 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 24 - Forks: 5
linesd/SSGPR
Sparse Spectrum Gaussian Process Regression
Language: Python - Size: 2.73 MB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 23 - Forks: 6
bulentsiyah/My-Studies-on-Kaggle
It is the repo I listed my kernels in Kaggle. You can access it in detail from my Kaggle address https://www.kaggle.com/bulentsiyah.
Language: Jupyter Notebook - Size: 20.4 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 20 - Forks: 0
xinglab-ai/genomap
Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)
Language: Python - Size: 43.7 MB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 19 - Forks: 4
chicago-joe/Python-ML-for-Financial-Applications
Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling
Language: Python - Size: 7.06 MB - Last synced at: 8 days ago - Pushed at: over 6 years ago - Stars: 19 - Forks: 6
ahmetozlu/nonlinear_regression_keras
Training of a neural network for nonlinear regression prediction with TensorFlow and Keras API.
Language: Jupyter Notebook - Size: 365 KB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 17 - Forks: 10
robotomize/regression-php 📦
My implementation of the regression algorithms
Language: PHP - Size: 49.8 KB - Last synced at: about 1 year ago - Pushed at: about 8 years ago - Stars: 16 - Forks: 3
alex-moreno/glitcherbot
Visual regression testing made easy. Automating the boring stuff
Language: PHP - Size: 298 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 10
SAG-KeLP/kelp-additional-algorithms
Language: Java - Size: 2.63 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 15 - Forks: 3
lucko515/regression-python
In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language
Language: Jupyter Notebook - Size: 2.16 MB - Last synced at: 6 months ago - Pushed at: about 8 years ago - Stars: 15 - Forks: 39
Yi-Chen-Lin2019/Predictive-maintenance-with-machine-learning
This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.
Language: Jupyter Notebook - Size: 104 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 14 - Forks: 3
Nishil07/Hands-on-Basics-of-Machine-Learning
This repository is for every beginner who just finished with the theoretical part of Machine Learning and wants to have a hands on experience of various kinds of algorithm and make predictions on a real time dataset.
Language: Jupyter Notebook - Size: 358 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 14 - Forks: 0
LaxmiChaudhary/Modeling-of-strength-of-high-performance-concrete-using-Machine-Learning
Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 13 - Forks: 10
farhad-pourkamali/machine-learning
Slides and Python code examples for undergraduate machine learning
Language: Jupyter Notebook - Size: 38.9 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 6
drwuHUST/MBGD_RDA
Matlab source code of the paper "D. Wu, Y. Yuan, J. Huang and Y. Tan*, Optimize TSK Fuzzy Systems for Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound (MBGD-RDA), IEEE Trans. on Fuzzy Systems, 28(5), pp. 1003-1015, 2020."
Language: MATLAB - Size: 1.16 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 12 - Forks: 3
anjanatiha/Movie-Revenue-Rating-Prediction-from-IMDB-Movie-Data
Movie Revenue & Ratings Prediction Using 5000 IMDB Movies [Python, Machine Learning, GitHub]
Language: Jupyter Notebook - Size: 3.58 MB - Last synced at: 4 months ago - Pushed at: almost 7 years ago - Stars: 11 - Forks: 8
rainij/polynomial-regression-js
Multivariate polynomial regression for javascript/typescript
Language: TypeScript - Size: 453 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 10 - Forks: 0
saeedahmadicp/numerical_optimization_of_ai
Numerical techniques for optimization of artificial Intelligence
Language: Python - Size: 3.87 MB - Last synced at: 11 days ago - Pushed at: 7 months ago - Stars: 9 - Forks: 4
akkoyun/Statistical
Descriptive statistics such as mean, geometric mean, maximum, minimum, sample standard deviation and standard error, median, mode, coefficient of variation, and linear regression. Written for various data type arrays
Language: C++ - Size: 951 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 3
jespb/Python-StdGP
An easy-to-use scikit-learn inspired implementation of the Standard Genetic Programming (StdGP) algorithm.
Language: Python - Size: 38.1 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 8 - Forks: 9
IvanVigor/Local-Fusion-Dynamic-Weighted-Ensemble
This repository contains an implementation for the Dynamic Weighted Ensemble (DWE) - Local Fusion method. Local Fusion is an ensemble techinque that could be used to improve predictions by weighing appropriately the single models contribution.
Language: Python - Size: 131 KB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 8 - Forks: 0
imharshag/Fake-news-Detection-using-ML
This project aims to tackle this problem by developing a system that can effectively detect fake news using machine learning techniques.
Language: Python - Size: 12.4 MB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 0
shridhar1504/Sales-Forecasting-Datascience-Project
Develop a data science project using historical sales data to build a regression model that accurately predicts future sales. Preprocess the dataset, conduct exploratory analysis, select relevant features, and employ regression algorithms for model development. Evaluate model performance, optimize hyperparameters, and provide actionable insights.
Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 5
nishitpatel01/predicting-age-of-abalone-using-regression
Predicting the age of abalone using multiple regression in R
Size: 24.4 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 8 - Forks: 10
UkiDLucas/MarketIndicators.jl
A set of Jupyther notebooks for processing Market Indicators from the Web for predicting market movements. Julia, Python, TuriCreate DNN
Language: Jupyter Notebook - Size: 45.6 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 1
matakshay/Air_quality_pred
Machine Learning model which uses closed-form solution of Locally Weighted Regression (LOWESS) Algorithm to predict the Quality of Air
Language: Python - Size: 112 KB - Last synced at: 3 months ago - Pushed at: about 6 years ago - Stars: 8 - Forks: 1
ua-datalab/MLWorkshops
UArizona DataLab Workshops
Language: Jupyter Notebook - Size: 106 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 7 - Forks: 0
AminAllahham/image-rotation-correction-model
Scanned Paper Rotation Correction using PyTorch to automatically correcting the orientation of scanned paper documents between -45° , 45°
Language: Python - Size: 96.1 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 0
ilhansevval/Machine_Learning
This repository includes machine learning algorithms which is classification, regression, clustering, NLP, PCA, model selection and recommendation systems
Language: Jupyter Notebook - Size: 17.1 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 1
dineshyadav3169/machine-learning
Machine Learning Projects in Python. Examples of popular machine learning algorithms with interactive Jupyter code explained
Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 0
SyedMuhammadHamza/Hybrid-recommendation-system-web-application
Regression-based Movie Recommender system that's a hybrid of content-based and collaborative filtering Recommender system Simply rate some movies and get immediate recommendations tailored for you
Language: Jupyter Notebook - Size: 46.2 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 8
rkshiyaniya/Data-Science-Machine-Learning-Projects
This Repository Contains different Machine Learning Projects on various dataset. From Exploratory Data Analysis - Visualization to Prediction and Classification..
Language: Jupyter Notebook - Size: 3.18 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 2
ibrahimcanerdogan/Machine-Learning-Tutorial
All Classification, Regression, Unsupervised Learning Algorithms
Language: Jupyter Notebook - Size: 810 KB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 2
clementetienam/Ultra-Fast-Mixture-of-Experts-Regression
Language: MATLAB - Size: 1.75 MB - Last synced at: 25 days ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 0
drmerlot/startml
R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.
Language: R - Size: 10.6 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 0
kahlmeyer94/DAG_search
UDFS: Systematically searching the space of small directed, acyclic graphs (DAGs).
Language: Jupyter Notebook - Size: 23.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 6 - Forks: 1
amiralimadadi/Regression_TheranHousing
Data analysis and comparing different regression algorithms on dataset about Tehran housing price.
Language: Jupyter Notebook - Size: 4.97 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 1
mukulsinghal001/USA-Housing-Price-Prediction
In this project I have implemented 14 different types of regression algorithms including Linear Regression, KNN Regressor, Decision Tree Regressor, RandomForest Regressor, XGBoost, CatBoost., LightGBM, etc. Along with it I have also performed Hyper Paramter Optimization & Cross Validation.
Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 0
saichandrareddy1/Machine_Learning_basics
This is repository about the MachineLaering Basics including all the Machine learning Algorithms
Language: Jupyter Notebook - Size: 59.6 KB - Last synced at: 6 months ago - Pushed at: almost 6 years ago - Stars: 6 - Forks: 5
ldv1/bbvi_spike_and_slab
Black-box spike and slab variational inference, example with linear models
Language: Python - Size: 653 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 1
KalyanM45/Diamond-Price-Prediction
Diamond Price Prediction with MLOps: A comprehensive end-to-end project for predicting diamond prices using machine learning and MLOps techniques.
Language: Jupyter Notebook - Size: 5.7 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 0
Sarvandani/Machine_learning-deep_learning_11_algorithms-of-regression
sklearn, tensorflow, random-forest, adaboost, decision-tress, polynomial-regression, g-boost, knn, extratrees, svr, ridge, bayesian-ridge
Language: Jupyter Notebook - Size: 7.45 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 1
CarlitosDev/nextDoor
Next Door neighbours Python implementation
Language: Python - Size: 376 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 1
lyraxvincent/Data-Science-Machine-Learning-Portfolio
Portfolio Projects through my Data Science and Machine Learning Course program.
Language: Jupyter Notebook - Size: 7.44 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 3
sharmaroshan/Black-Friday
This time I am doing it using R language. let's see the results. The solutions includes eda(exploratory data analysis), data visualizations, modelling with Machine learning Models such as XgBoost and AdaBooost etc and check the performance using rmse metrics etc to compare the results.
Language: R - Size: 9.4 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 1
harunurrashid97/Regression-with-python-and-R
Regression with Python & R.
Language: Jupyter Notebook - Size: 1.83 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 3
Tugbars/RLS-Driven-Peak-Analyzer
Microcontroller-friendly C implementation of Recursive Least Squares (RLS) for running gradient analysis, including linear, cubic, and quadratic trends, optimized for real-time trend and peak detection
Language: C - Size: 379 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 4 - Forks: 0
Hamid-Rezaei/Data-Mining
This repository contains code and solutions for the Data Mining project, which applies various techniques and methods to different datasets. The project covers data preprocessing, dimensionality reduction, regression, classification, and association rule mining.
Language: Jupyter Notebook - Size: 1.55 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0
WojciechMigda/Tsetlini
Efficient parallelized implementation of Multilabel Classifier and Regressor Tsetlin Machines
Language: C++ - Size: 4.12 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 0
Pegah-Ardehkhani/Flight-Price-EDA-and-Prediction
Analyze and Predict the Flight Price Using Machine Learning Models and Plotly Library
Size: 3.49 MB - Last synced at: 1 day ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 3
Baltazar-Ortega/regression
Linear, ridge, lasso and elastic net regression in Julia using a videogames sales dataset
Language: Jupyter Notebook - Size: 5.76 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 1
rudrajit1729/Machine-Learning-Codes-And-Templates
Codes and templates for ML algorithms created, modified and optimized in Python and R.
Language: Python - Size: 21 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 3
Escapist-007/ML_Projects
The projects are part of the graduate-level course CSE-574 : Introduction to Machine Learning [Spring 2019 @ UB_SUNY] . . . Course Instructor : Mingchen Gao (https://cse.buffalo.edu/~mgao8/)
Language: Jupyter Notebook - Size: 84 MB - Last synced at: 4 months ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 6
aydinnyunus/KidemMaas
Basit Regresyon: Python ile Uygulama
Language: Python - Size: 1.95 KB - Last synced at: 5 months ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 2
DMilmont/RedditStockPredictions
Textual analysis of Investment themed subreddits to predict future stock returns
Language: HTML - Size: 78.5 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 5
Amaan-developpeur/WeatherPredictionAPI
WeatherPredictionAPI : A full-stack machine learning system that predicts temperature using historical and real-time weather data. The project includes data collection, feature engineering, model training, API deployment with FastAPI, Docker containerization, logging, CI/CD integration, and a responsive web UI.
Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: 16 days ago - Pushed at: 2 months ago - Stars: 3 - Forks: 0
shubhamsawant0601/Data_Science_Projects
Data Science Projects
Language: Jupyter Notebook - Size: 144 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1
m0h1t98/Predict-Car-Price
This is a predictive analysis of a dataset from CAR DEKHO. This is an end to end machine learning model.
Language: Jupyter Notebook - Size: 9.51 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 3
luuisotorres/Predicting-Apple-Stock-Prices-Using-PyCaret
Using PyCaret to Predict Apple Stock Prices
Language: HTML - Size: 6.6 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0
WISSAL-MN/Regression-Lineaire-Numpy
Language: Jupyter Notebook - Size: 163 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1
srikhetramohanty/Data-Science-Portfolio
This is a repository created in line with my understanding & implementation of the major complex ideas in Machine Learning & Inferential Statistics while working as a data science professional in the industry.
Language: Jupyter Notebook - Size: 3.37 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 2
mannasoumya/grnn
basic and simple General Regression Neural Network for NodeJS
Language: JavaScript - Size: 51.8 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0
SandeshGhi/Real-Estate-Housing-Price-Predictor
RandomForest Regressor Model ML for predicting Price of House.
Language: Jupyter Notebook - Size: 151 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 2
Aishwarya2795/Investment-portfolio-validation-analysis-for-post-trade-financial-services-firm
Stock Market Behavior Analysis and Forecasting of prices to better understand the seemingly arbitrary nature of stock movements, using Deep Learning, Natural Language Processing, and other Data modeling techniques.
Language: Jupyter Notebook - Size: 3.39 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 1
m0h1t98/Cab-Fare-Prediction
This is a prediction machine learning model. In this project, my objective was to predict the fare of a cab based on time and daytime variance. I applied data cleaning, calculating the distance between the source and the destination. I implemented some ML regression algorithms and tested the score of the model
Language: Jupyter Notebook - Size: 474 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 1
ldv1/kstar-NN
Implementation of the k*-Nearest Neighbors method in Python
Language: Python - Size: 1.67 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 2
DelSquared/signal-frequency-filter-classifier
The application of machine learning techniques (such as linear regression) to classify a frequency filter from its spectrum
Language: Python - Size: 79.4 MB - Last synced at: 4 months ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 1
sjchoi86/deep-robust-regression
Deep Robust Regression Methods
Language: Jupyter Notebook - Size: 318 MB - Last synced at: 2 months ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 0
ibodumas/linear_basis_function
Machaine learning algorithm for regression using regularized linear basis function.
Language: Python - Size: 17.6 KB - Last synced at: 3 months ago - Pushed at: about 8 years ago - Stars: 3 - Forks: 0
micahondiwa/applied-data-science
A collection of 8 Applied Data Science projects.
Language: Jupyter Notebook - Size: 46 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 2 - Forks: 2
woctezuma/Classification-binaire
Modèles de classification binaire.
Language: Python - Size: 120 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0
margorczynski/okkam
Using GA to search polynomials that fit a given dataset
Language: Rust - Size: 326 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
SubhangiSati/Machine-Learning
This consists of various machine learning algorithms like Linear regression, logistic regression, SVM, Decision tree, kNN etc. This will provide you basic knowledge of Machine learning algorithms using python. You'll learn PyTorch, pandas, numpy, matplotlib, seaborn, and various libraries.
Language: Python - Size: 17.6 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
KhushiBhadange/Regression-Model-Flight-Dataset
Explore predictive modeling with this repository, featuring regression-based models applied to a comprehensive dataset on flight delays and cancellations. Gain insights into factors influencing air travel disruptions and leverage regression techniques to enhance predictions.
Language: Jupyter Notebook - Size: 3.38 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
RogerioLS/Scikit-Learn
:mortar_board: Curso com os criadores do Scikit-Learn
Language: Jupyter Notebook - Size: 7.2 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
shridhar1504/Boston-House-Price-Prediction-Datascience-Project
The Boston House Price Prediction project utilizes data science methodologies and machine learning algorithms to provide accurate predictions for housing prices in the Boston area.
Language: Jupyter Notebook - Size: 2.45 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2
shridhar1504/Price-Prediction-for-Used-Cars-Datascience-Project
This project uses machine learning to predict the price of a used car. The model is trained on a dataset of historical car sales data, and it can then be used to predict the price of a car based on its features.
Language: Jupyter Notebook - Size: 708 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
benjamin-milhet/F1_Machine_Learning
Dans ce projet, nous allons explorer différents algorithmes de Machine Learning pour prédire le nombre de points qu’un pilote de Formule 1 peut gagner lors d’un Grand-Prix. Nous allons utiliser des données de Formule 1 depuis 1950 pour entraîner nos modèles de prédiction.
Language: Jupyter Notebook - Size: 3.21 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
SNAILGROUP-AI/STUDY-ML
머신러닝 알고리즘 학습 내용 정리
Size: 85.9 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
dhvl15/Backorder-Prediction
Backorder Prediction in R | Visualization | Regression
Size: 1.04 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
JoKoum/stochastic-gradient-trees-python
Stochastic Gradient Trees implementation in Python
Language: Python - Size: 85 KB - Last synced at: 20 days ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1
ADVAIT135/Global_AI_ML
Notebooks for Global AI Hub ML course in Aug 2022
Language: Jupyter Notebook - Size: 160 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0
paulinamoskwa/GLMs
Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈
Language: HTML - Size: 3.48 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 2
fitushar/Image_pixel_recovery_with_lesso_regression
The objective of this mini-project is to Recover a full image from a small number of sampled pixels (compressed sensing). Although the primary goal of this project is to understand and explore the application of regularized. In the process of recovering image pixel using regularized regression, we will explore different concepts and their understanding as following: Understanding how regression can be applied in 2D image analysis domain. Understanding of the discrete cosine transforms (DCT) to define an image in a frequency domain. Explore the importance and application of cross validation in model tunning and hyper-parameter selections. Understanding the impact of applying filtering approach such as median filter on reconstructed image Finally, quantitively evaluating the quality of removed image.
Language: Python - Size: 2.94 MB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
mbidu/Machine-Learning-Projects
Machine Learning Projects
Language: Python - Size: 22.5 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
