Topic: minmaxscalar Goto Github
Some thing interesting about minmaxscalar
Some thing interesting about minmaxscalar
minmaxscalar,Fictional investment bank, Accountability Accounting, is interested in offering a new cryptocurrency investment portfolio to its clients; however, the company needs assistance in determining which cryptocurrencies they should offer and would like them grouped to create a classification system for this new investment. A clustering algorithm was utilized and the data was visualized so the finding could be shared with the board.
User: acfthomson
minmaxscalar,To model the demand for shared bikes with the available independent variables
User: chinmayeeguru
minmaxscalar,Predictive Analytics
User: iamkirankumaryadav
minmaxscalar,This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project
User: indrapaul824
minmaxscalar,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
User: neeleshweb
Home Page: https://www.kaggle.com/warmachinezz/housing-prediction-ranked-107-out-of-45651-top-1
minmaxscalar,A machine learning exercise using the Spotify "hit predictor" dataset, with data analysis of past "hits" by decade. Deployment using Flask via Heroku.
User: patelpurvip
Home Page: https://spotify-hitpredictor.herokuapp.com
minmaxscalar,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).
User: pranjalken32
minmaxscalar,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.
User: prankur16shukla
minmaxscalar,A machine learning model that attempts to predict whether a loan will become high risk or not
User: rb25s13
minmaxscalar,A guided project provided by datacamp.
User: rubayat-tithi
Home Page: https://app.datacamp.com/workspace/w/1003ade6-6201-4da6-99ae-bc4505cf803e
minmaxscalar,Python implementaion of missing value imputation using K-Nearest-Neighbour and Weighted K-Nearest-Neighbour
User: sadmansakib93
minmaxscalar,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.
User: samyakmohelay
Home Page: https://spotify-hit-predictor-app.herokuapp.com/
minmaxscalar,Linear Multilinear and Logistic Regression in Machine Learning
User: semmyinc
minmaxscalar,Big Data Project - SSML - Spark Streaming for Machine Learning
User: swarna0712
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