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feature-scaling

Here are 141 public repositories matching this topic...

ashishpatel26 / Amazing-Feature-Engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

data-science machine-learning data-mining deep-learning scikit-learn data-visualization feature-selection feature-extraction data-analysis data-scientists feature-engineering features feature-scaling

Updated Jun 19, 2024
Jupyter Notebook

danyalimran93 / Music-Emotion-Recognition

A Machine Learning Approach of Emotional Model

data-science machine-learning feature-selection feature-extraction music-information-retrieval digital-signal-processing librosa feature-scaling

Updated Aug 5, 2024
Python

dr-mushtaq / Machine-Learning

This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python), Feature Selection technique in python etc. Follow Coursesteach for more content

python machine-learning model scikit-learn under classification logistic-regression unsupervised-learning decision-boundary feature-scaling scikitlearn-machine-learning multivariate-linear-regression underfitting multiple-features scikitlearn algbra inverse-and-transpose preprocessing-in-machine-learning gradient-descent-for-multiple-variables

Updated Dec 29, 2024
Jupyter Notebook

the-mrinal / ML-Notebook

Karma of Humans is AI

notebook text-classification linear-regression matploblib naive-bayes-classifier pca-analysis logistic-regression gradient-descent confusion-matrix used-cars svm-classifier feature-scaling decision-tree-algorithm numpy-arrays logisticregression gridsearchcv knn-classifier

Updated Mar 9, 2020
Jupyter Notebook

komal11lamba / 50-days-of-Statistics-for-Data-Science

This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.

python statistics eda feature-selection feature-extraction dimensionality-reduction feature-engineering feature-scaling

Updated Jan 24, 2022
Jupyter Notebook

uzaymacar / exemplary-ml-pipeline

Exemplary, annotated machine learning pipeline for any tabular data problem.

modeling sklearn h2o data-visualization feature-selection feature-engineering data-cleaning machine-learning-pipelines feature-scaling data-imputation featuretools feature-encoding

Updated Aug 30, 2019
Jupyter Notebook

chongjason914 / scikit-learn-tutorial

Tutorial on how to perform feature encoding, feature scaling, and missing values imputation using the scikit-learn library

feature-scaling imputation-methods feature-encoding

Updated May 30, 2021
Jupyter Notebook

mohadeseh-ghafoori / Coursera-Machine-Learning-Specialization

numpy linear-regression sklearn logistic-regression matplotlib regularization gradient-descent feature-engineering polynomial-regression decision-boundary learning-curve feature-scaling contour-plot cost-function feature-mapping mean-normalization regularization-to-avoid-overfitting standard-normal

Updated Jun 4, 2024
Jupyter Notebook

Chinmayrane16 / Diamonds-In-Depth-Analysis

Given dataset of Diamonds with features such as Cut, Carat, Clarity etc. I have used libraries such as Pandas, Numpy, Matplotlib, Seaborn to Analyse and Estimate the Price of Diamonds based on the features. Using Scikit-Learn , implemented Algorithms to increase the effective R2 score.

machine-learning numpy pandas data-visualization seaborn matplotlib feature-engineering feature-scaling

Updated Aug 22, 2018
Jupyter Notebook

awesome-mlops / awesome-feature-store

A curated list of awesome open source and commercial feature store tools and platforms 🚀

kubernetes machine-learning awesome feature-selection datascience feature-extraction dataops awesome-list feature-engineering feature-scaling model-serving mlops feature-store

Updated Apr 20, 2022

Machine-Learning-In-Python

pawangeek / Machine-Learning-In-Python

Machine learning algorithms repository

machine-learning clustering machine-learning-algorithms outlier-detection feature-scaling

Updated Jan 13, 2022
Jupyter Notebook

rsc-dev / ml

Machine Learning Notebooks

machine-learning linear-regression jupyter-notebook ml feature-scaling normal-equation

Updated Feb 26, 2018
Jupyter Notebook

gvndkrishna / Kaggle-House-Price-Prediction

My solution to House-Prices Advanced Regression Techniques, A beginner-friendly project on Kaggle.

data-visualization python3 kaggle-competition xgboost hyperparameter-optimization feature-engineering ridge-regression feature-scaling support-vector-regression lasso-regression-model lgbmregressor

Updated May 26, 2022
Jupyter Notebook

prat0101 / Data-Science-Portfolio

Data Science Portfolio created for academic and personal projects.

python linear-regression sklearn pandas feature-selection performance-metrics xgboost feature-engineering hyperparameter-tuning kmeans-clustering feature-scaling gradient-boosting

Updated Mar 25, 2023
Jupyter Notebook

lmego / customer_segments

Creating Customer Segments - 4th project for Udacity's Machine Learning Nanodegree

machine-learning udacity clustering pca gaussian-mixture-models dimensionality-reduction outlier-detection unsupervised-learning udacity-nanodegree clustering-algorithm creating-customer-segments scatter-matrix feature-scaling feature-transformation biplot

Updated Feb 9, 2017
HTML

Stock-Market-Prediction

CYBERDEVILZ / Stock-Market-Prediction

An attempt to predict the Stock Market Price using Long Short Term memory and plot its chart. By tweaking different hyper parameters, we get different trained models. The aim of this project is to identify the relation hidden in these hyper parameters.

machine-learning deep-learning jupyter-notebook python3 recurrent-neural-networks lstm stock-price-prediction research-project hacktoberfest lstm-neural-networks feature-scaling long-short-term-memory tkinter-gui tensorflow2

Updated Oct 9, 2022
PureBasic

esharma3 / project_austin_air_quality_analysis_and_prediction

The purpose of this project is to analyze the impact of climate change on air quality for the city of Austin and create a machine learning model that can establish a correlation between the level of air pollutants like Ozone and NO2 and the climate parameters by using regression models and null hypothesis.

python api random-forest linear-regression plotly pandas seaborn requests polynomial-regression feature-scaling lasso-regression

Updated Dec 8, 2022
Jupyter Notebook

petermchale / predict_customer_response

Machine-learning models to predict whether customers respond to a marketing campaign

neural-network pandas imputation support-vector-machine data-cleaning decision-tree multicollinearity feature-scaling receiver-operating-characteristic one-hot-encode missing-values dummy-variable

Updated Apr 9, 2018
Jupyter Notebook

sakshigupta08 / Feature-Scaling

machine-learning scikit-learn feature-scaling

Updated Feb 12, 2021
Jupyter Notebook

JuzerShakir / Linear_Regression

A Mathematical Intuition behind Linear Regression Algorithm

Updated Nov 4, 2021

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