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Topic: "regression-model"

PushpitKumar/MarriagePrediction

End to End project using ML to predict the age of marriage. Click the Link: https://marriagepredictor99.herokuapp.com/

Language: Jupyter Notebook - Size: 3.95 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

SaiJeevanPuchakayala/Implement-ML

This repo contains all my implementations of Machine Learning Models.

Language: Jupyter Notebook - Size: 615 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

LinggarM/Simple-Salary-Prediction-using-Linear-Regression

Simple Salary Prediction using Linear Regression

Language: Jupyter Notebook - Size: 68.4 KB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Gonnuru/Admission_Prediction

In this project I have built a regression model to predict the chance of admission into a particular university based on the student's profile

Language: Jupyter Notebook - Size: 2.58 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

Joshmantova/Cars-Case-Study-In-R

EDA and basic machine learning implementation as well as simple evaluation in R. This is meant to be an introductory level learning resource for people to learn about predictive modeling in R.

Language: R - Size: 1.06 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

melinebel/movieSuccess-RegressionTree

A simple regression tree model to study the interplay between box office, critics and audiences in determining a movie's success.

Language: Python - Size: 163 KB - Last synced at: 2 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

Sampad-Hegde/PUBG-Data-Analysis

This Project tells about impact of gameplay on winning percentage

Language: Jupyter Notebook - Size: 302 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

luisteran5296/Regression-model-for-automobile-industry

This project consists on a regression model for analysis of a data collection of automobile industry. The main objectivo is to explore the relationship between a set of variables and miles per gallon (MPG)

Language: HTML - Size: 507 KB - Last synced at: 8 days ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

MichielvEldik/Digital_Marketing_Analytics

Two assignments from uni using R.

Language: R - Size: 20.5 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

LaurentVeyssier/Bike-sharing-Usage-Prediction-with-Neural-Network

Use a neural network to predict daily usage and capacity requirement for a bike sharing business

Language: Jupyter Notebook - Size: 784 KB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

devchoplife/Students-grades

Using Regression model to predict the final grade of students from two Portuguese high schools

Language: Jupyter Notebook - Size: 4.34 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

rachitamehta/Bay-Area-Housing-Market-Quantitative-Research

Impact of H1B visa workers on Bay Area Housing Prices

Size: 538 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

sakusuma/HousePricePrediction

A US-based housing company named Surprise Housing has decided to enter the Australian market. The company uses data analytics to purchase houses at a price below their actual values and flip them on at a higher price. For the same purpose, the company has collected a data set from the sale of houses in Australia. The data is provided in the CSV file below. The company is looking at prospective properties to buy to enter the market. You are required to build a regression model using regularisation in order to predict the actual value of the prospective properties and decide whether to invest in them or not. The company wants to know: Which variables are significant in predicting the price of a house, and How well those variables describe the price of a house.

Language: Jupyter Notebook - Size: 630 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 1

worldofsaad/Deep-Learning-KERAS

Building a regression model using the Keras library. Building a classification model using the Keras library. The difference between the shallow and deep neural networks. Convolutional networks and how to build them using the Keras library. Recurrent Neural Networks. Autoencoders and how to build them using the Keras library.

Language: Jupyter Notebook - Size: 64.5 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 1

Related Topics
machine-learning 40 python 25 data-science 17 regression 14 regression-analysis 12 regression-models 10 data-analysis 9 linear-regression 9 classification-model 9 flask 7 regression-algorithms 7 jupyter-notebook 7 heroku-deployment 6 data-visualization 6 sklearn 6 python3 6 deep-learning 6 scikit-learn 5 tensorflow 5 neural-network 5 supervised-learning 5 random-forest 5 pandas 5 streamlit 4 machine-learning-algorithms 4 keras 4 matplotlib 4 polynomial-regression 4 pytorch 4 seaborn 3 statistics 3 eda 3 decision-tree-regression 3 r 3 javascript 3 model-evaluation 3 exploratory-data-analysis 3 ridge-regression 3 data-cleaning 3 gunicorn 3 html 3 regression-testing 3 nlp-machine-learning 3 ai 3 polynomial-features 2 fine-tuning 2 pca 2 predictive-modeling 2 kaggle-dataset 2 datapreprocessing 2 python-3 2 clustering-model 2 random-forest-regression 2 xgboost-regression 2 salary-prediction 2 feature-selection 2 feature-engineering 2 statsmodels 2 flai 2 plotly 2 pipelines 2 gradient-boosting 2 computer-vision 2 numpy 2 whisper-model 2 dataset 2 supervised-machine-learning 2 school-project 2 tf-idf 2 text-preprocessing 2 submission-pipeline 2 classification 2 speech-recognition 2 linear-models 2 docker 2 predictive-analytics 2 nodejs 2 regressions 2 matlab 2 ml 2 audio-to-text 2 grammar-scoring 2 feature-importance 2 pearson-correlation 2 heroku 2 machinelearning-python 2 tensorflow2 1 pipeline 1 video-games 1 attention 1 cnn 1 automobile-industry 1 earthquakes 1 gcn 1 keras-tensorflow 1 graphs 1 time-series 1 transformer 1 xai 1 demo 1