Akash6700882/CodeAlpha_breast-cancer-prediction

Breast cancer prediction using machine learning models on the UCI dataset

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KefaMensch/IMDB_Prediction

IMDB Prediction Model Using Machine Learning

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udityamerit/Machine-Learning-For-Beginners

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sozelfist/handson-ml3 Fork of ageron/handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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ikosmidis/brglm2

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

Language: R - Size: 2.52 MB - Last synced at: 5 days ago - Pushed at: 9 months ago - Stars: 31 - Forks: 11

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: 11 days ago - Pushed at: almost 3 years ago - Stars: 27 - Forks: 5

ua-datalab/MLWorkshops

UArizona DataLab Workshops

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w-jamil/ola

Online Learning Algorithms

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0xMrMasry/Weather-Data-Regression-Analysis-Project

This project applies and compares 3 different regression algorithms on a Weather History dataset to predict temperature values. It demonstrates how different regression techniques perform on the same dataset, with visualizations to aid in understanding model behavior and performance.

Language: Python - Size: 2.19 MB - Last synced at: 7 days ago - Pushed at: 29 days ago - Stars: 1 - Forks: 0

ooples/AiDotNet

A new library for all of the newest ai algorithms

Language: C# - Size: 7.26 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 29 - Forks: 7

lalvim/PartialLeastSquaresRegressor.jl

Implementation of a Partial Least Squares Regressor

Language: Julia - Size: 172 KB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 41 - Forks: 6

xinglab-ai/genomap

Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)

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kbzh2558/Food_Combo_Optimization

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dmavani25/discopula

Discrete checkerboard copula modeling and implementation of new scoring methods pertaining to ordinal and categorical discrete data.

Language: Python - Size: 3.33 MB - Last synced at: 24 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

linesd/SSGPR

Sparse Spectrum Gaussian Process Regression

Language: Python - Size: 2.73 MB - Last synced at: 16 days ago - Pushed at: over 5 years ago - Stars: 23 - Forks: 6

annarsama/PropertyValues-Prediction

Prediction of property values using machine learning algorithms and about 3 million data

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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: 11 days ago - Pushed at: over 1 year ago - Stars: 333 - Forks: 35

alessandroragano/scoreq

SCOREQ: Speech COntrastive REgression for Quality Assessment (NeurIPS 2024)

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cyber220/car-price-prediction

A machine learning-powered web application that predicts the price of used cars based on essential input features such as brand, model, year of purchase, fuel type, and kilometers driven. This project utilizes a Linear Regression model and provides a responsive web interface built with Flask.

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hsynadguzel/AAPL_Stock_Regression_Analysis

This repo includes regression analysis on AAPL stock. Basic statistics, visualization, outlier detection and regression modeling steps are included.

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jespb/Python-StdGP

An easy-to-use scikit-learn inspired implementation of the Standard Genetic Programming (StdGP) algorithm.

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closest-git/LiteMORT

A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.

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siddhant4srivastava/Linear-Model-Regression-and-Classification-

Biulding a real scenario Regression and Classification Algorithms.

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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: 1 day ago - Pushed at: almost 6 years ago - Stars: 19 - Forks: 6

Nouran246/House-Pricing-Prediction Fork of Yahia-Elshobokshy/Task1-Machine-Learning

Housing Prices Prediction using Machine Learning Developed a regression model to predict housing prices using data preprocessing, feature engineering, and various regression algorithms. Tuned hyperparameters and evaluated performance with key metrics (RMSE, MAE, R²).

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O2sa/dimaond_price_predication

Diamond Price Prediction with jupyter

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kahlmeyer94/DAG_search

UDFS: Systematically searching the space of small directed, acyclic graphs (DAGs).

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ahmetozlu/nonlinear_regression_keras

Training of a neural network for nonlinear regression prediction with TensorFlow and Keras API.

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arkapatra31/ML

Learning and Implementation of my Machine Learning Journey

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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: 25 days ago - Pushed at: about 6 years ago - Stars: 41 - Forks: 31

saeedahmadicp/numerical_optimization_of_ai

Numerical techniques for optimization of artificial Intelligence

Language: Python - Size: 3.87 MB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 9 - Forks: 4

MuindiStephen/Agri-Sasa

Agritech App - (Agri-Sasa) project digitizes farm quality control by automating farming processes.

Language: Kotlin - Size: 79.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 5 - Forks: 1

Snigdho8869/Regression-Analysis-Projects

Repository showcasing a collection of diverse regression analysis projects including salary prediction and more.

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ali-Eskandarian/Semester_1_Fuzzy_Logic

Projects of Fuzzy course

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pieropls/ML-ENSAE

This repository contains tutorials and exercises from the course Theoretical Foundations of Machine Learning at ENSAE Paris.

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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.

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KrishNayak421/ML-Algorithms-from-Scratch

Implementation of fundamental ML algorithms from scratch

Language: Python - Size: 94.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

kelvinleandro/manim-animations

Animations exploring various concepts in computer science, with a special focus on machine learning and statistics

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rainij/polynomial-regression-js

Multivariate polynomial regression for javascript/typescript

Language: TypeScript - Size: 453 KB - Last synced at: 9 days ago - Pushed at: 9 months ago - Stars: 10 - Forks: 0

mituskillologies/cdac-ai-drdo-jan25

Programs of certificate course on Artificial Intelligence and Machine Learning conducted for DRDO officials at CDAC Headquarters, Pune in January 2025.

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LamiaaElOuatili/Predicting_social_media_performance_metrics

This project aims to explore the relationships between various input features and target variables in a social media dataset. By leveraging regression techniques, we aim to identify the most predictive variables for user engagement metrics.

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kkirogod/Energy-Efficiency-Dataset

Data mining project carried out on the Energy Efficiency Dataset (UCI).

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carlosgutierrez1412/Concrete-Comprehensive-Strength-Regression

FIU Machine Learning Course Final Project

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Mike014/Streamlit_ML_Web-Apps

A series of apps developed with the streamlit framework that leverage ML algorithms.

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niyas6161/ML-PROJECTS

ML Projects

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Radhikareddy-chintareddy/Predictive-Churn-Modeling-Machine-Learning-for-Customer-Retention

This project employs machine learning algorithms to predict customer churn by analyzing historical customer data. It provides actionable insights to enhance customer retention. The models were fine-tuned using hyperparameter optimization and tackled data imbalance with SMOTE, achieving high F1-scores to drive targeted business strategies.

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chaffybird56/Digital-Camera-Bayes-Filter-Colour-Demosaic

Report+Codes+Results

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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: about 2 months ago - Pushed at: 10 months ago - Stars: 8 - Forks: 0

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.

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TRAORE-07/Supervised-Learning-Models

Supervised learning is a machine learning technique where the algorithm is trained on a dataset with both input features (independent variables) and corresponding output labels (dependent variables). It uses labeled datasets to train algorithms to predict outcomes and recognize patterns.

Language: Python - Size: 76.2 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

AryaR-06/linear-regression

A Python project demonstrating basic linear regression with gradient descent and matrix operations, alongside scikit-learn comparison.

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I11KNOW/Guided_Python_Projects

Welcome to the Guided ML Projects repository! This repository is a collection of guided machine learning projects aimed at providing practical examples and tutorials for individuals interested in learning and implementing machine learning techniques in various domains.

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syang76/machine_learning_algorithms

This code demonstrates how to construct pipelines to perform grid search to compare various supervised machine learning algorithms.

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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

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: 5 months ago - Pushed at: 5 months ago - Stars: 4 - Forks: 0

diegodemiranda/linear_regression_models

Repository for linear regression models implemented in machine learning.

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SriNeogi/AutoML-Regressor

AutoML regression

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diegodemiranda/machine_learning_algorithms

Repository to store studies of machine learning algorithms implemented in artificial intelligence.

Language: Python - Size: 244 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

LukeMercouris/Bike_Rental_Predictor

Bike Rental Demand Prediction: Built regression model to forecast hourly bike rentals in DC using time-based features and Gradient Boosting Regressor. Achieved R² of 0.965, RMSE of 33.94, and MAE of 22.49. Created Streamlit web app for real-time rental predictions.

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

LukeMercouris/Loan_Prediction

Loan Approval Prediction: Built binary classification model to predict loan approvals using financial and demographic data. Applied preprocessing and StandardScaler normalization. Used Gaussian Naive Bayes model achieving 92% recall for approvals, 74% accuracy, and 82% F1-score. Deployed via Flask web application.

Language: Jupyter Notebook - Size: 952 KB - Last synced at: 6 days ago - Pushed at: 5 months ago - Stars: 0 - 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: 3 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 2

micahondiwa/applied-data-science

A collection of 8 Applied Data Science projects.

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bs-tech-project/student-score-prediction

Utilizes linear regression to predict student math scores based on features such as weekly self-study hours and the number of absence days.

Language: Python - Size: 2.93 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

muhzinkhan/Machine-Learning-Algorithms-from-Scratch

Machine Learning algorithm implementations from scratch.

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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.

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akankshaaa013/Practice-Machine-Learning-Projects

A ML repository that contains several practice notebooks of different Machine Learning Algorithm such as Multiple Linear Regression, KNN Classification, SVM, etc.

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vishanth10/Airbnb_RDD_AB_test

RDD Design (A/B Test) on Casual Impact Analysis of Super-host Catergory in Airbnb

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vishal-verma-96/Pre-Owned-Car-Price-prediction-using-Streamlit-App

Capstone Project by skill Academy- Exploratory Analysis, Visualization and Prediction of Used Car Prices. Deploying the highest-scoring model with Streamlit web app

Language: Jupyter Notebook - Size: 4.75 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 1

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: about 2 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 2

SanikaVT/Real-Estate

Machine learning Regression problem with easy understandable solutions

Language: Jupyter Notebook - Size: 17 MB - Last synced at: 3 days ago - Pushed at: almost 7 years ago - Stars: 36 - Forks: 28

AbhishekTungala/ML-Weather-Forecasting-Prediction

ML Weather Prediction using Python

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spoortimorabad/House-Price-Prediction-With-advanced-Regression-Techniques

house price prediction

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egaoharu-kensei/ML-algorithms-from-scratch.-Course-for-beginners

ML-algorithms from scratch using Python. Classic Machine Learning course.

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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: 8 months ago - Pushed at: 8 months ago - Stars: 164 - Forks: 91

harunurrashid97/100-Days-Of-ML-Code

A day to day plan for this challenge. Covers both theoritical and practical aspects

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Ananth09/House-price-Advanced-regression

Advanced Regression models on Real Estate dataset

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abhaypaii/compare-ml-algo-app

I use the LazyPredict python library to compare the time and memory usage of every regressor/classifier algorithm for a user's dataset

Language: Python - Size: 27.3 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

G2Martins/EleicoesSP-2024-IA

Repositório criado para armazenar o projeto de previsão eleitoral de 2024, utilizando regressão logística multinomial. O modelo foi desenvolvido para prever a intenção de voto dos eleitores com base em características como idade, renda, escolaridade, região e gênero. Explorando dados fictícios, o projeto compara candidatos de diferentes espectros

Language: Python - Size: 75.2 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

LaxmiChaudhary/Modeling-of-strength-of-high-performance-concrete-using-Machine-Learning

Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: 9 months ago - Pushed at: over 5 years ago - Stars: 13 - Forks: 10

ha7890846/mental_fitness_tracker

The Mental Health Fitness Tracker project focuses on analyzing and predicting mental fitness levels of individuals from various countries with different mental disorders. It utilizes regression techniques to provide insights into mental health and make predictions based on the available data.

Language: Jupyter Notebook - Size: 2.81 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

nafanur/Student-Performance-Multiple-Linear-Regression-

Student Performance (Multiple Linear Regression)

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AliHaider5577/BikeSharing_Regression_MachineLearning

Bike Sharing (Rentals) machine learning regression to predict total rentals by considering features of dataset

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RogerioLS/Scikit-Learn

:mortar_board: Curso com os criadores do Scikit-Learn

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woctezuma/Classification-binaire

Modèles de classification binaire.

Language: Python - Size: 121 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 2 - Forks: 0

Candongo-Dev/Machine-Learning_Project-Heart-Disease-Dataset

Predicting Heart Disease with Python and Machine Learning. In this project, in the first part we will explore and prepare the data before starting the Machine Learning models. Let's try to predict which people have heart problems based on personal and health data. we use some Machine Learning models to make the predictions.

Language: Jupyter Notebook - Size: 403 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

aydinnyunus/KidemMaas

Basit Regresyon: Python ile Uygulama

Language: Python - Size: 1.95 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 2

shicoded/Mobile_price_perdiction

Mobile price perdiction with Linear Regression and Decision Tree

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ihalhashem/House-Prices-Prediction

Within this undertaking, a range of regression methodologies shall be explored in order to address a compelling conundrum.

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cymonyy/haptic-touch-dataset-analysis

This open source project is a notebook series for data collection, data pre-processing, exploratory data analysis, and machine learning processes on the haptic touch dataset collected from GetEmotion application.

Language: Jupyter Notebook - Size: 103 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

wlamirlima/regres-olinearempython

Criando modelo de regressão linear.

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adataschultz/UsedCars_Prices

Examine the features of used cars posted on CarGurus at different times and locations to predict the selling price

Language: HTML - Size: 741 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

ErenElagz/AMAZON-PRICE-PREDICTION-MACHINE_LEARNING

Future Price Prediction for Amazon Stocks usign Python and Polyninomal Reggression and Lineer Reggression

Language: Jupyter Notebook - Size: 250 KB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

rasmodev/Income-Prediction-Challenge-For-Azubian

This repository contains a model for predicting if an individual earns above or below an income threshold

Language: Jupyter Notebook - Size: 31.9 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

navkar/TensorFlow

machine learning algos

Size: 89.8 KB - Last synced at: 11 months ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

saibharath2/linear-regression

linear regression

Language: Jupyter Notebook - Size: 27.3 KB - Last synced at: 11 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

Jeffawe/ML-Models

A couple of python scripts implementing machine learning algorithms

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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: 6 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

mlk500/ML-Algorithms

In the project we built the following algorithms : Decision Tree Classifiier and Regressor, AdaBoost Classifiier , Gradient Boost Regressor

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allenw097/Springboard

Springboard Data Science Projects

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Gokulakkrizhna/singapore-resale-price

We use machine learning and data analysis to predict resale prices of Singapore flats. Our documentation covers data preprocessing, feature engineering, regression, and model selection. Discover how we improved predictions to optimize solutions.

Language: Python - Size: 29.3 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0