Topic: "minmaxscalar"
patelpurvip/Spotify-hitpredictor
A machine learning exercise using the Spotify "hit predictor" dataset, with data analysis of past "hits" by decade. Deployment using Flask via Heroku.
Language: Jupyter Notebook - Size: 12.7 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 7
indrapaul824/Coronary-Heart-Disease-Prediction
This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project
Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 3
SadmanSakib93/Missing-Value-Imputaion-KNN
Python implementaion of missing value imputation using K-Nearest-Neighbour and Weighted K-Nearest-Neighbour
Language: Python - Size: 5.86 KB - Last synced at: 20 days ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 2
swarna0712/San-Fransisco-Crime-Classification-using-PySpark
Big Data Project - SSML - Spark Streaming for Machine Learning
Language: Python - Size: 21.5 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1
ddS08/Detecting-Parkinsons-Disease
Language: Jupyter Notebook - Size: 983 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1
pranjalken32/TECH-A-THON-Descry_Doctor
This project helps the patient to find the best doctor in that area or may be used for finding a better doctor for a second opinion.ML model to work on with data set of doctors profile and based on this we will ask the user to input certain data fields to predict the best/better doctor in that location (if any).
Language: Jupyter Notebook - Size: 1.1 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
iamkirankumaryadav/Predictive-Analytics
Predictive Analytics
Language: Jupyter Notebook - Size: 315 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
samyakmohelay/Spotify-Hit-Predictor
A Spotify Hit Predictor capable of predicting whether any given track would be a 'Hit' or 'Flop'. By using the Spotify "hit predictor" dataset, with data analysis of past "hits" by decade. Deployment using Flask via Heroku.
Language: Jupyter Notebook - Size: 9.4 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
chinmayeeguru/Bike-Sharing-Linear-Regression-Model
To model the demand for shared bikes with the available independent variables
Language: Jupyter Notebook - Size: 1.08 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
rb25s13/predicting-credit-risk-supervised-ml
A machine learning model that attempts to predict whether a loan will become high risk or not
Language: Jupyter Notebook - Size: 107 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
prankur16shukla/Credit_Card_Fraud_Detection
In this Classification Machine Learning Project, we will be analysing the dataset taken from www.kaggle.com related to details of credit card owners. This data consists of features like Gender, Income type, House type, marital status and many more. Our focus will be on analysing the data, getting the insights related to these features and there role in affecting the target, we will perform feature engineering, feature selection and develop a Classification model that will predict whether it is a Fraud or not based on the new data.
Language: Jupyter Notebook - Size: 1010 KB - Last synced at: 3 days ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
Neeleshweb/House-Selling-Price-Prediction-using-various-models
In this project, the selling price of the houses have been predicted using various Regressors, and comparison charts have been shown that depict the performance of each model. This submission was ranked 107 out of 45651 in first attempt on Kaggle leader-board which can be accessed from here : https://www.kaggle.com/c/home-data-for-ml-course/leaderboard
Language: Jupyter Notebook - Size: 6.92 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
