Topic: linearregression Goto Github
Some thing interesting about linearregression
Some thing interesting about linearregression
linearregression,Stock prediction model with data imported from quandl
User: 1pani
linearregression,This repository contains code for Machine Learning (beginner level) using Python.
User: adp-797
linearregression,Forcasting the volume of DATA 2G, 3G and 4G stream
User: aghezzafmohamed
linearregression,A set of projects I worked on as part of my PG Diploma in Data Science Program
User: alvinmark
linearregression,Predicted the output of each food processing farm over the next few years and analyzed further to increase the efficiency of their current supply chain management system.
User: amruthalgowda
linearregression,〰️PolyRegJS is for visualizing polynomial regression model training
User: ariapahlavan
Home Page: https://ariapahlavan.github.io/PolyRegJS/
linearregression,The idea of the project is to do a Data analysis in a Real Estate Investment Trust. The Trust would like to start investing in Residential real estate.
User: athari22
linearregression,This GitHub repository contains code for predicting the country destination of new Airbnb users using machine learning techniques on the "Airbnb New User Bookings" dataset from a Kaggle competition.
User: ayoub-etoullali
linearregression,This was my first step into machine learning, Its not new, I am just uploading it on Github now. Its a llinear regression model
User: beetrandahiya
linearregression,This project involves parsing bike-sharing data from the CityBikes API and merging it with location-based details from Foursquare and Yelp APIs, conducting data exploration, visualization, and regression modeling to examine the correlation between bike station characteristics and adjacent points of interest.
User: briggyx
linearregression,Machine Learning C++
User: coding-ai
linearregression,Stock Market Forecasting with CoreML in Swift
User: dickychengg
linearregression,This repository demonstrates how to use linear regression to predict prices based on sizes. Using the tips.csv dataset, it predicts the total bill from the size of the party. The project includes data preprocessing, model training, and evaluation steps.
User: ehtisham33
linearregression,Linear Regression From Scratch
User: feezyhendrix
Home Page: https://towardsdatascience.com/linear-regression-from-scratch-cd0dee067f72?gi=cc5d9a4a3af5
linearregression,Regression is a statistical method used to analyze the relationship between one or more independent variables (often referred to as predictors, features, or input variables) and a dependent variable (often referred to as the target, response, or output variable). Scaling is the process of transforming data so that it falls within a specific range.
User: hamzagulshad
linearregression,This project aims to solve the Vehicle Routing Problem (VRP) by addressing missing data using linear regression and predicting the time required for particular orders. Additionally, it predicts the optimal set of routes for a fleet of vehicles to traverse to deliver to a given set of customers efficiently.
User: iam-aishwaryajoy
linearregression,Linear Regression explained in non-coding terms
User: ismizu
linearregression,Easy statistical testing on the web
User: jhagelback
Home Page: http://aiguy.freecluster.eu/ez_statistics
linearregression,Northern Hemisphere Temperature prediction using RandomForest
User: jimschacko
linearregression,Real Estate Price Prediction
User: juliengan
linearregression,Machine learning Algorithms but the implementations done by me and no external libraries used
User: justinbenito
linearregression,A script to find the stock value of a company using semantic analysis and Machine Learning Algorithms
User: killswitchh
linearregression,Apache Spark machine learning project using pyspark
User: mahsashk
linearregression,Life Expectancy predictor using Linear Regression
User: mattshipmaker
linearregression,Continuous variable predictor using Scikit-Learn on avacado sales data set.
User: maxmatkovski
linearregression,In this project, I applied different regression models for rmse and mae on antenna dataset for predict signal strength.
User: mhassaanbutt
linearregression,This linearRegression.py file contains the codes to create a linear regression model based on some data which contain information about a student's study duration(in hrs per day) in relation with the marks stored by the student. At the end the model also predicts for a student whose study duration is 9.25 hr/day.
User: mishra99-pj
linearregression,Some simple machine learning algorithm
User: mlearing
linearregression,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.
User: mukulsinghal001
linearregression,Machine learning algorithms in Data Science
User: muntakim1
linearregression,Dummy variables can be really helpful while creating multiple linear regression models.
User: nipunmohindra
linearregression,Few linear regression models developed by me.
User: nipunmohindra
linearregression,Analyse OverFitting of data
User: niranjankumar-c
linearregression,Using Linear regression I predict the housing prices in Portland considering several features. Secondly I predict the profits that a food truck will generate for a restaurant franchise in a city.
User: pinaksawhney
linearregression,
User: pramodini18
linearregression,Medical Insurance Cost Prediction
User: prathamesh-rathi
linearregression,In this project, I have developed a Machine Learning model to predict whether users will click on ads. By analyzing various characteristics of users who click on ads, we can gain valuable insights and optimize ad campaigns for better engagement.
User: rahulg-101
linearregression,This is Flask integrated Machine Learning model which uses Linear Regression to Predict the CO2 Emission of Vehicle
User: rajiv8
linearregression,Score prediction in T20 cricket is based on CRR which is mostly inaccurate. This Machine Learning project considers various factors that can impact the score prediction and utilizes the available previous matches data to achieve a more accurate prediction. We have evaluated 6 different algorithms and found out that CatBoost gives the best results.
User: razhakhan
linearregression,The objective is to build a ML-based solution (linear regression model) to develop a dynamic pricing strategy for used and refurbished smartphones, identifying factors that significantly influence it.
User: rochitasundar
linearregression,Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford University, MIT, UC Berkeley. And an intent classifier which can classifies a query into one of the 21 given intents.
User: rohitrathore1
linearregression,
User: sethinik
linearregression,Machine Learning Lecture Notes
User: sevdanurgenc
linearregression,Stock Prediction using LSTM, Linear Regression, ARIMA and GARCH models. Hyperparameter Optimization using Optuna framework for LSTM variants.
User: sudipbishwakarma
linearregression,Implementation of Linear regression on Boston House Pricing and Diabetes data sets using python.
User: syamkakarla98
linearregression,Simple regression problem where by pre-loaded data I have shown different regression algorithm and their performance on data.
User: urvishp80
linearregression,This repository contains our project on Stock Market Price prediction Using Historical Data
User: vaibhavgaur05
linearregression,
User: vishalsurya
linearregression,project by team sudo-solve in kodekochikode hackathon
User: yadhuphilip
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