Build software better, together

lasanthagithub / Wine_quality_chemical_data_analyzing_and_Multiple_linear_regression_modeling_using_R

This project is focused on the characteristics of white wine quality. Mainly the wite wine quality dataset is explored and analysed.

r regression-models model-building

Updated Aug 9, 2017
HTML

lasanthagithub / Identifying_Fraud_from_Enron_Emails_using_Machine_Learning

Star

The fraud identification models were build using Python Scikit-learn machine-learning module.

python machine-learning random-forest scikit-learn cross-validation feature-selection feature-extraction classification regression-models principal-component-analysis svc fraud-detection model-building knearest-neighbor-classifier enron-emails

Updated Aug 26, 2017
Python

vishalv91 / capstoneproject-realestate

Star

Data: Boston Housing Dataset (HousingData.csv) Programming language(s): R Tool(s): RStudio Business problem: To understand the drivers behind the value of houses in Boston and provide data-driven recommendation to the client on how they can increase the value of housing.The Boston housing dataset consisted of 506 observations and 14 variables. P…

real-estate data-science analytics linear-regression housing-prices data-modeling boston-housing-price-prediction r-programming model-building data-projects multiple-linear-regression

Updated Feb 26, 2018
R

atse0612 / Machine-Learning-A-Z

Star

python r random-forest numpy linear-regression regression pandas random-generation naive-bayes-classifier thompson-sampling logistic-regression matplotlib kernel-support polynomial-regression upper-confidence-bounds bayesian-statistics model-building

Updated Mar 29, 2018
Jupyter Notebook

uknwho / Neural-Network-for-Detecting-Musical-Instruments

Star

deep-neural-networks deep-learning neural-network image-classification transfer-learning model-building mathworks spectrograph-images

Updated Jan 21, 2020

stella-spyrou / Data-Analytics-Project---Classification-with-Python

Star

In this project, I predict which customers are more likely to respond positively to a bank marketing call by setting up a regular savings deposit or subscribing the term “made_deposit”. Three classification algorithms have been developed in order to predict the target variable. Logistic Regression, Decision Tree and Multi-Layer Perceptron (MLP).…

data-science machine-learning data-mining machine-learning-algorithms jupyter-notebook data-visualization python3 data-analytics classification logistic-regression data-summary data-preparation multi-layer-perceptron data-cleaning decision-tree bank-deposit classification-algorithm model-building bank-data

Updated Apr 27, 2020
Jupyter Notebook

mithulmanoj / Classification---imbalanced-dataset---KNN-XGBoost-NaiveBayes

Star

Classification of an imbalanced dataset using SMOTE oversampling technique and ML Algorithms - KNN , XGBoost and Naive Bayes classifier

exploratory-data-analysis cross-validation data-visualization feature-selection naive-bayes-classifier xgboost hyperparameter-optimization feature-engineering knn model-evaluation model-building feature-importance label-encoding smotetomek numerical-encoding ordinal-encoding correlation-map imbalanced-dataset

Updated May 9, 2020
Jupyter Notebook

Divya171997 / Text-Analytics-eXtreme-Multi-Label-Classification-XMLC

Star

Multi-label classification is one of the standard tasks in text analytics. The objective is to perform an eXtreme multi-label classification (XMLC) on two datasets( https://www.kaggle.com/hsrobo/titlebased-semantic-subject-indexing) -EconBiz( ZBW - Leibniz Information Centre for Economics from July 2017) and PubMed(5th BioASQ challenge on large-…

evaluation feature-extraction data-preprocessing model-building f1-score load-data hamming-loss

Updated Jun 8, 2020
Jupyter Notebook

ITrustNumbers / A_Classification_Model_To_Predict_Blight_Compliance

Star

A Binary Classification Problem Optimized For AU-ROC Curve,. From Data Cleaning to Model Validation, Classifying whether a blight ticket will be paid in time or not, Trained 3 different Classifier on a Highly imbalanced Data provided by Detroit Open Data Portal with around 160000 Tickets.

classifier validation exploratory-data-analysis data-visualization logistic-regression decision-trees data-cleaning evaluation-metrics binary-classification model-building sklearn-classify knn-classifier machine-learning-projects

Updated Aug 26, 2020
Jupyter Notebook

gtsa / How_well_do_you_perform_your_work-out---ML_Case-Study

Star

In this project we can see in action and in detail a big part of the ML pipeline (data wrangling,model building, model evaluation) that comprises different algorithms and approaches such as Decision Trees (RPART), Linear Discriminant Analysis (LDA), Gradient Boosting Machne (GBM), Random Forest (RF) Support Vector Machine (SVM) with or without M…

machine-learning random-forest cross-validation model-selection classification dimensionality-reduction gradient-boosting-machine support-vector-machine data-wrangling data-preprocessing decision-trees principal-component-analysis model-evaluation linear-discriminant-analysis model-building model-stacking

Updated Aug 27, 2020
R

InfiniteCuriosity / R_for_data_science

Star

Working through the book R for Data Science by Hadley Wickham and Garrett Grolemund

visualization select ggplot2 r dplyr functions modeling filter projects tidy-data tidyverse eda r-markdown mutate model-building summarize arrange group-by

Updated Sep 7, 2020
HTML

weisds / Titanic-i2

Star

A comprehensive analysis and modelling for the Titanic data, covering, data cleaning, outlier identification, EDA, feature engineering/selection, and model evaluation. Got top 15% as a result of this effort

eda classification feature-engineering data-cleaning model-building