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GitHub topics: liner-regestion

Repositories

kuntal1461/Linear-Regression-

Here the basic of the the Linear regression problem .

Language: Jupyter Notebook - Size: 20.5 KB - Last synced: about 17 hours ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

AtheerAlzhrani/ML

ML projects, which I worked on utilising different machine learning algorithms.

Language: Jupyter Notebook - Size: 92.8 KB - Last synced: 20 days ago - Pushed: 21 days ago - Stars: 0 - Forks: 0

Anitatorki/LinRegression

Language: Jupyter Notebook - Size: 23.4 KB - Last synced: 25 days ago - Pushed: 25 days ago - Stars: 0 - Forks: 0

Manish-Sharma-1810/Diabetes-Detection-App-using-Machine-Learning

This classifier web app basically developed using Streamlit (Python - framework) and it classifies the categories of "Diabetic" or "Not Diabetic" based on certain input parameters. In this app, we can choose different classifiers like; SVM, RandomForest, GridSearch, Logistics Regression, for the classification.

Language: Jupyter Notebook - Size: 2.76 MB - Last synced: about 1 month ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 1

snghrsw/kikagaku-ml-learning

Pythonで単回帰分析と重回帰分析、ディープラーニングで回帰と分類

Language: Jupyter Notebook - Size: 163 KB - Last synced: 3 months ago - Pushed: almost 6 years ago - Stars: 0 - Forks: 1

shellylevy/Titanic_Survival_Prediction

Predicting Titanic survival using machine learning models with age, sex, ticket class, and fare. Tested linear regression, logistic regression, and KNN with cross-validation and metrics like accuracy and recall. The best-performing model is available on GitHub with code, data, and results.

Language: Jupyter Notebook - Size: 606 KB - Last synced: 6 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

fazelelham32/Machine-Learning-Workshop-python-mathlab-R

Codes and Project for Machine Learning

Language: Jupyter Notebook - Size: 6.84 KB - Last synced: 6 months ago - Pushed: 11 months ago - Stars: 1 - Forks: 0

meetgajjarx07/DASS-Prediction-IBM-SPSS-Modeler-main

DASS (Depression Anxiety Stress Scales) Prediction using IBM SPSS Modeler (Methodology - CRISP DM)

Size: 7.7 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

sindydanny/Prediction-with-Regression

The project aims to provide valuable insights for fair compensation strategies and improved logistical planning.

Language: Jupyter Notebook - Size: 2.36 MB - Last synced: 4 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

Prakash-Khatri/Nifty50_stock_price_preddiction_model

Stock price prediction is a crucial aspect of financial markets, involving the use of mathematical models and machine learning techniques to forecast the future price movements of stocks or financial assets.

Language: Jupyter Notebook - Size: 188 KB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

MissNeerajSharma/Linear-Regression-Multiple-Variables

<h1>Machine Learning With Python: Linear Regression Multiple Variables Sample problem of predicting home price in monroe, new jersey (USA)</h1> Below is the table containing home prices in monroe twp, NJ. Here price depends on area (square feet), bed rooms and age of the home (in years). Given these prices we have to predict prices of new homes based on area, bed rooms and age. Given these home prices find out price of a home that has, 3000 sqr ft area, 3 bedrooms, 40 year old 2500 sqr ft area, 4 bedrooms, 5 year old

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42proger/linear-regression-exchange-rates

:chart_with_upwards_trend: :currency_exchange: Linear Regression Forecasting Exchange Rates

Language: Python - Size: 11.7 KB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 1

HassaanSaleem/asymmetric-cost-functions

Demonstration of asymmetric cost functions in Linear Regression

Language: Jupyter Notebook - Size: 21.5 KB - Last synced: 9 months ago - Pushed: about 4 years ago - Stars: 0 - Forks: 0

norhanreda/Predict-Boston-House-Prices

🏠 this machine learning problem aims to predict the price of houses in Boston

Language: Python - Size: 3.91 KB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

hossain-sanowar/pyspark-python

Pysprak

Language: Jupyter Notebook - Size: 827 KB - Last synced: 11 months ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

Ch3ekiBr3eki/popular_videogames

EDA analysis and a couple of models from classical machine learning on actual data as of 12.07.2023 about video games. Dataset from kaggle link in readme.

Language: Jupyter Notebook - Size: 619 KB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

ejaj/diabetes-prediction

Diabetes prediction

Language: Jupyter Notebook - Size: 139 KB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

MukundAabha/Data_Science_ML_DL_NLP_Interview_Qus

Data Science, Machine Learning, Deep Learning, NLP, Python & Library's cheat Sheet - Interview Questions & Notes

Size: 76.7 MB - Last synced: 12 months ago - Pushed: over 3 years ago - Stars: 38 - Forks: 13

kunal-mallick/Data-Science-Assignments

This is all Data Science Assignments Files. I am currently working on it, so you may not find some files here.

Language: Jupyter Notebook - Size: 104 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

jaypatel00174/MachineLearning 📦

Tutorials of Machine Learning in Jupyter Notebooks

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AboNady/Simple_Linear_Regression_From_Scratch

I have applied the fundamental idea of Linear Regression with Single Variable input. I implemented the Gradian Descent algorithm simply from scratch with no libraries such as Scikit-Learn. I just used NumPy.

Language: Python - Size: 23.4 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

DheemanthBhat/ML-Concepts

Notebooks explaining various Machine Learning concepts.

Language: Jupyter Notebook - Size: 13.3 MB - Last synced: 11 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

PBPatil/Regression-Projects

Regression is one of the foundational techniques in Machine Learning. Being one of the most well-understood algorithms, beginners always struggle to understand some fundamental terminology related to regression. In this series of projects, I will try to give you basic ideas of underlying concepts with the help of practical examples. If you are starting your career or want to brush up on your knowledge of regression, this repo is made up for you. These projects begins by introducing some simple real-life examples for regression. From a brief introduction to most of the concepts used in regression to hands-on experience, these projects will give you enough understanding to apply those in real-world problems. With the help of the background developed, you will code your regression model in python.

Language: Jupyter Notebook - Size: 229 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0