minmaxscalar

There are 0 repository under minmaxscalar topic.

indrapaul824 / Coronary-Heart-Disease-Prediction
This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project
classification-model framingham logistic-regression decision-trees knn-classification random-forest gradient-boosting-classifier hyperparameter-tuning ensemble-classifier resampling minmaxscalar accuracy-score confusion-matrix univariate-analysis bivariate-analysis feature-engineering supervised-learning python3 jupyter-notebooks heart-disease
Language:Jupyter Notebook 17
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.
machine-learning python scikitlearn-machine-learning flask heroku tableau spotipy spotify-api pandas dotenv random-forest-classifier neural-network svm-classifier logistic-regression minmaxscalar standardscaler numpy-library joblib
Language:Jupyter Notebook 13
SadmanSakib93 / Missing-Value-Imputaion-KNN
Python implementaion of missing value imputation using K-Nearest-Neighbour and Weighted K-Nearest-Neighbour
imputation knn knearest-neighbour imputaion-knn python-implementaion missing-values impute-algorithm scaling weighted-knn standard-scalar minmaxscalar
Language:Python 3
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).
machine-learning kmeans-clustering minmaxscalar
Language:Jupyter Notebook 2
swarna0712 / San-Fransisco-Crime-Classification-using-PySpark
Big Data Project - SSML - Spark Streaming for Machine Learning
big-data spark spark-streaming apache-spark sparksql sparkstreaming machine-learning minibatchkmeans-clustering kmeans-clustering naive-bayes-classifier multilayer-perceptron-network multinomial-naive-bayes pipeline correlation minmaxscalar classificationreport accuracy-metrics sparkmllib
Language:Python 2
chinmayeeguru / Bike-Sharing-Linear-Regression-Model
To model the demand for shared bikes with the available independent variables
homoscedasticity linear-regression minmaxscalar modelbuilding multicollinearity normaldistribution recursive-feature-elimination residual-analysis train-test-split
Language:Jupyter Notebook 1
ddS08 / Detecting-Parkinsons-Disease
datacleaning decision-tree knn-classifier machine-learning minmaxscalar random-forest-classifier standardscaler supportvectormachine xgboost-model
Language:Jupyter Notebook 1
iamkirankumaryadav / Predictive-Analytics
Predictive Analytics
predictive-analytics pandas numpy matplotlib seaborn scikit-learn linear-regression polynomial-regression support-vector-regression decision-tree-regression random-forest-regression hyperparameter-optimization labelencoder onehotencoder minmaxscalar normalization standardscaler standardization python
Language:Jupyter Notebook 1
rubayat-tithi / predicting-credit-card-approvals-datacamp-project
A guided project provided by datacamp.
confusion-matrix gridsearchcv logistic-regression minmaxscalar predictive-analytics
Language:Jupyter Notebook 1
acfthomson / Cryptocurrencies
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.
python hvplot scikit-learn standardscaler minmaxscalar pca kmeans-clustering unsupervised-machine-learning plotly
Language:Jupyter Notebook 0
adarshchalla / BikeSharing-Project
eda python3 random-forest-regression xgboost-algorithm randomsearchcv crossvalidation linear-regression polynomial-regression standardscaler minmaxscalar
Language:Jupyter Notebook 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
linear-regression decision-tree-regression random-forest xgboost-regression exploratory-data-analysis datacleaning hyperparameter-optimization minmaxscalar labelencoding
Language:Jupyter Notebook 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.
numpy pandas exploratory-data-analysis knn-classifier oversampling-technique matplotlib-pyplot seaborn-plots minmaxscalar sklearn-library
Language:Jupyter Notebook 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.
deep-learning deep-neural-networks heroku heroku-deployment logistic-regression machine-learning minmaxscalar numpy pandas python random-forest scikit-learn spotipy standard-scaler svm-classifier
Language:Jupyter Notebook 0
rb25s13 / predicting-credit-risk-supervised-ml
A machine learning model that attempts to predict whether a loan will become high risk or not
python machine-learning numpy pandas sklearn test-train-dataset logistic-regression random-forest labelencoder standardscaler minmaxscalar
Language:Jupyter Notebook
Semmyinc / Hamoye-Tag-Along-Project-B-Spring-23
Linear Multilinear and Logistic Regression in Machine Learning
coefficient-of-determination lasso-regression linear-regression logistic-regression mae multilinear-regression residuals ridge-regression rmse heteroskedasticity minmaxscalar
Language:Jupyter Notebook

minmaxscalar

indrapaul824 / Coronary-Heart-Disease-Prediction

patelpurvip / Spotify-hitpredictor

SadmanSakib93 / Missing-Value-Imputaion-KNN

pranjalken32 / TECH-A-THON-Descry_Doctor

swarna0712 / San-Fransisco-Crime-Classification-using-PySpark

chinmayeeguru / Bike-Sharing-Linear-Regression-Model

ddS08 / Detecting-Parkinsons-Disease

iamkirankumaryadav / Predictive-Analytics

rubayat-tithi / predicting-credit-card-approvals-datacamp-project

acfthomson / Cryptocurrencies

adarshchalla / BikeSharing-Project

Neeleshweb / House-Selling-Price-Prediction-using-various-models

prankur16shukla / Credit_Card_Fraud_Detection

samyakmohelay / Spotify-Hit-Predictor

rb25s13 / predicting-credit-risk-supervised-ml

Semmyinc / Hamoye-Tag-Along-Project-B-Spring-23