GitHub topics: regression-algorithms
KefaMensch/IMDB_Prediction
IMDB Prediction Model Using Machine Learning
Language: Jupyter Notebook - Size: 8.96 MB - Last synced at: about 11 hours ago - Pushed at: about 13 hours ago - Stars: 1 - Forks: 0
johnnydelsage/Car-Price-Prediction
🚗 Predict used car prices accurately with machine learning models using various regression techniques and market data analysis for fair valuation.
Language: Jupyter Notebook - Size: 1.35 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1 - Forks: 0
ooples/AiDotNet
A new library for all of the newest ai algorithms
Language: C# - Size: 13.5 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 33 - Forks: 7
micahondiwa/applied-data-science
A collection of 8 Applied Data Science projects.
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Loesgar/mvsr
Library for Fast Segmented Regression
Language: Python - Size: 55.9 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 2 - Forks: 0
Renato4333/learn-artificial-intelligence
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broxdy/climate-predicton-model
🌍 Implement climate prediction models to transform global data into localized forecasts for effective water resource management and impact assessment.
Language: R - Size: 11.9 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0
cyrilvoyant/ARTU
ARTU Predictive Method // Statistical Reference Method // Direct Multi-Step Forecast Strategy
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alessandroragano/scoreq
SCOREQ: Speech COntrastive REgression for Quality Assessment (NeurIPS 2024)
Language: Python - Size: 1.48 MB - Last synced at: 16 days ago - Pushed at: 4 months ago - Stars: 94 - Forks: 7
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: 22 days ago - Pushed at: over 2 years ago - Stars: 17 - Forks: 7
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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jayarnim/M1-PJT_DL
Final Term Project, Deep Learning (Prof. Sungmahn Ahn), 1st Semester, Master’s Program
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ikosmidis/brglm2
Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction
Language: R - Size: 4.66 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 32 - Forks: 12
kelvinleandro/manim-animations
Animations exploring various concepts in computer science, with a special focus on machine learning and statistics
Language: Python - Size: 6.38 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 2 - Forks: 2
bejranonda/climate-predicton-model
Numerical Computational Research (2009–2015): Developed and validated a comprehensive suite of prediction and statistical downscaling methods for short- and long-term projections of climate, water resources, and their associated impacts.
Language: R - Size: 11.2 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
juliaathar/house-princing-mlops
Language: Jupyter Notebook - Size: 207 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
SarahiJLeura/Regression-Methods-Time-Series-Analysis
A concise introduction and Python implementation of various regression methods, including: Linear, Polynomial, Fourier, Splines, Kernel, GRNN
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chaffybird56/PixelWeave
reconstructs full‑color images from a sensor mosaic
Language: MATLAB - Size: 635 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
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: about 2 months ago - Pushed at: over 5 years ago - Stars: 56 - Forks: 9
kharitarun18/House-price-prediction-ML
Machine Learning project for predicting house prices using XGBoost with a Streamlit web app.
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CIDARLAB/knoxAI
Flask API for graph-based deep learning for Knox
Language: Python - Size: 19.5 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
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: 3 months ago - Pushed at: about 2 years ago - Stars: 337 - Forks: 37
w-jamil/proteus-eti
PROTEUS -- SOLMA -- ETI
Language: Python - Size: 87.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
clementetienam/Ultra-Fast-Mixture-of-Experts-Regression
Language: MATLAB - Size: 1.75 MB - Last synced at: 2 months ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 0
woctezuma/Classification-binaire
Modèles de classification binaire.
Language: Python - Size: 120 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 2 - Forks: 0
ua-datalab/MLWorkshops
UArizona DataLab Workshops
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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: about 2 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0
Ahmadjamil888/BITCOIN_Price_Predictor
An AI Bitcoin Price predicor made with node js and pytorch and trained on historical data of Bitcoin.
Language: Python - Size: 23.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
Jeffawe/ML-Models
A couple of python scripts implementing machine learning algorithms and Neural Networks
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ruslanpavliichuk/wine-classification
Wine Classifier
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mvarrone/machine-learning-specialization
Notes on Coursera's ML Specialization by Stanford University and DeepLearning.AI and taught by Dr. Andrew Ng
Language: Jupyter Notebook - Size: 251 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 0
desaiprasad1989/Regression-Analysis
Build a multiple linear regression model using the training dataset. Interpret the coefficients of the model. Build minimum of 3 different models.
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marianatiele/MLOps_Regressao
API desenvolvida com um modelo de Regressão Linear para prever preços de imóveis a partir de dados estruturados. Ideal para estudos práticos de ML e deploy em produção.
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zeynepcol/Data-Science-Cryptocurrencies-Data-Analysis-Forecasting
Cryptocurrency price analysis and prediction using regression models
Language: Python - Size: 8.88 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
nafanur/Student-Performance-Multiple-Linear-Regression-
Student Performance (Multiple Linear Regression)
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Saravanan9698/Saravanan.Github.io
Welcome to my Data Science Portfolio! I'm Saravanan — an IITM Pravartak Certified Data Science Professional with practical experience building end-to-end ML and Deep Learning solutions across healthcare, finance, e-commerce along with NLP and GEN AI Domains. This portfolio highlights my work on real-world data-driven projects.
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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: 25 days ago - Pushed at: over 3 years ago - Stars: 28 - Forks: 6
harunurrashid97/100-Days-Of-ML-Code
A day to day plan for this challenge. Covers both theoritical and practical aspects
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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: 81.1 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
malika-n/Data-Science-Cryptocurrencies-Data-Analysis-Forecasting
Analyze and forecast prices of 10 cryptocurrencies using historical data from Binance API. Visualize predictions with a Flask web interface. 🐙📊
Language: Python - Size: 7.56 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - 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: 5 months ago - Pushed at: 5 months 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: 4 months ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 0
Marta-Barea/mlp-boston-house-regression
A simple project to train and evaluate a multilayer perceptron model on the Boston House Prices data using TensorFlow, SciKeras, and Scikit-Learn
Language: Python - Size: 142 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
Akash6700882/CodeAlpha_breast-cancer-prediction
Breast cancer prediction using machine learning models on the UCI dataset
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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: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
lalvim/PartialLeastSquaresRegressor.jl
Implementation of a Partial Least Squares Regressor
Language: Julia - Size: 172 KB - Last synced at: 6 days ago - Pushed at: almost 3 years ago - Stars: 41 - Forks: 6
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: about 2 months ago - Pushed at: over 1 year ago - Stars: 19 - Forks: 4
kbzh2558/Food_Combo_Optimization
Language: Jupyter Notebook - Size: 12.5 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
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: 6 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0
linesd/SSGPR
Sparse Spectrum Gaussian Process Regression
Language: Python - Size: 2.73 MB - Last synced at: 5 months 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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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.
Language: Jupyter Notebook - Size: 112 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
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.
Language: Python - Size: 38.1 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 8 - Forks: 9
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: about 2 months ago - Pushed at: over 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).
Language: Jupyter Notebook - Size: 2.66 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
O2sa/dimaond_price_predication
Diamond Price Prediction with jupyter
Language: Jupyter Notebook - Size: 7.71 MB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
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: 6 months ago - Pushed at: almost 5 years ago - Stars: 17 - Forks: 10
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: 5 months ago - Pushed at: over 5 years ago - Stars: 32 - Forks: 18
arkapatra31/ML
Learning and Implementation of my Machine Learning Journey
Language: Jupyter Notebook - Size: 1.84 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0
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: 6 months ago - Pushed at: over 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: about 1 month ago - Pushed at: 9 months ago - Stars: 9 - Forks: 4
Snigdho8869/Regression-Analysis-Projects
Repository showcasing a collection of diverse regression analysis projects including salary prediction and more.
Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: 8 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
ali-Eskandarian/Semester_1_Fuzzy_Logic
Projects of Fuzzy course
Language: Python - Size: 0 Bytes - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
pieropls/ML-ENSAE
This repository contains tutorials and exercises from the course Theoretical Foundations of Machine Learning at ENSAE Paris.
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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: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
rainij/polynomial-regression-js
Multivariate polynomial regression for javascript/typescript
Language: TypeScript - Size: 453 KB - Last synced at: 3 months ago - Pushed at: about 1 year 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.
Language: Jupyter Notebook - Size: 27.6 MB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
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).
Language: Jupyter Notebook - Size: 816 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
carlosgutierrez1412/Concrete-Comprehensive-Strength-Regression
FIU Machine Learning Course Final Project
Language: Jupyter Notebook - Size: 546 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
vishal-verma-96/Pre-Owned-Car-Price-prediction-using-Streamlit-App
In this project, I had performed exploratory analysis, visualization and prediction of used car prices and deployed the model with streamlit web app.
Language: Jupyter Notebook - Size: 6.77 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
Mike014/Streamlit_ML_Web-Apps
A series of apps developed with the streamlit framework that leverage ML algorithms.
Language: Jupyter Notebook - Size: 3.62 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 3.02 MB - Last synced at: 8 months ago - Pushed at: 10 months ago - Stars: 1 - 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: 7 months ago - Pushed at: over 1 year 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.
Language: Jupyter Notebook - Size: 708 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
AryaR-06/linear-regression
A Python project demonstrating basic linear regression with gradient descent and matrix operations, alongside scikit-learn comparison.
Language: Jupyter Notebook - Size: 87.9 KB - Last synced at: 26 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 1
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.
Size: 1.39 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
syang76/machine_learning_algorithms
This code demonstrates how to construct pipelines to perform grid search to compare various supervised machine learning algorithms.
Language: Python - Size: 0 Bytes - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
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: 5 months ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 6
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: 5 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: 11 months ago - Pushed at: 11 months ago - Stars: 4 - Forks: 0
diegodemiranda/linear_regression_models
Repository for linear regression models implemented in machine learning.
Language: Jupyter Notebook - Size: 980 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
SriNeogi/AutoML-Regressor
AutoML regression
Language: Jupyter Notebook - Size: 98.6 KB - Last synced at: 9 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
diegodemiranda/machine_learning_algorithms
Repository to store studies of machine learning algorithms implemented in artificial intelligence.
Language: Python - Size: 244 KB - Last synced at: 11 months ago - Pushed at: 11 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 days ago - Pushed at: 11 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 months ago - Pushed at: 11 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: about 1 month ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 3
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: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
muhzinkhan/Machine-Learning-Algorithms-from-Scratch
Machine Learning algorithm implementations from scratch.
Language: Jupyter Notebook - Size: 255 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - 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: 5 months ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0
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.
Language: Jupyter Notebook - Size: 236 KB - Last synced at: 8 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
vishanth10/Airbnb_RDD_AB_test
RDD Design (A/B Test) on Casual Impact Analysis of Super-host Catergory in Airbnb
Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - 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: 8 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2
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: 5 months ago - Pushed at: about 6 years ago - Stars: 8 - Forks: 1
SanikaVT/Real-Estate
Machine learning Regression problem with easy understandable solutions
Language: Jupyter Notebook - Size: 17 MB - Last synced at: 6 months ago - Pushed at: over 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
Language: Jupyter Notebook - Size: 2.26 MB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
