bivariate-analysis
There are 0 repository under bivariate-analysis topic.
PacktWorkshops / The-Data-Analysis-Workshop
A New Interactive Approach to Learning Data Analysis
Language:Jupyter Notebook 63indrapaul824 / Coronary-Heart-Disease-Prediction
This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project
classification-modelframinghamlogistic-regressiondecision-treesknn-classificationrandom-forestgradient-boosting-classifierhyperparameter-tuningensemble-classifierresamplingminmaxscalaraccuracy-scoreconfusion-matrixunivariate-analysisbivariate-analysisfeature-engineeringsupervised-learningpython3jupyter-notebooksheart-diseaseLanguage:Jupyter Notebook 17Defcon27 / Data-Analysis-of-Indian-Automobile-dataset-using-Machine-Learning-in-R
The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.
Language:R 12samarsreddy / Machine-Learning-SummerTraining
Learned Machine Learning from scratch and take the first step towards AI with Six-week certified training powered by Analytics Vidhya
Language:Jupyter Notebook 9- Language:Jupyter Notebook 5
- Language:Fortran 5
anushkaparadkar / lending-club-case-study
Case study to identify risky loan applicants and understand factors that contribute to a loan default.
Language:Jupyter Notebook 4keenan-cooper / Marketing-Analytics-for-a-Food-Delivery-Platform
Udacity - Data Analyst Nanodegree - Project 5 - Data Visualization
Language:HTML 4rohitgit1 / Machine-Learning-Training
Summer Training on Machine Learning by Internshala, powered by Analytics Vidhya,
Language:Jupyter Notebook 4sandipanpaul21 / EDA-in-Python
Exploratory Data Analysis Theory and Python Code
Language:Jupyter Notebook 4raghav19980730 / DataCo-Supply-Chain-Goods-Delivery-Prediction
The main objective of this project is to build a model to identify whether the delivery of an order will be late or on time.
Language:R 3sanketmaneDS / Logistic_Regression
This repository contains introductory notebook for logistic regression
Language:Jupyter Notebook 3Abhishek20182 / Communicate-Data-Findings
Udacity Data Analyst Nanodegree - Project V
Language:HTML 2aditya-shinde16 / Walmart_Case_Study
Business Case: Walmart - Confidence Interval and CLT
Language:Jupyter Notebook 2- Language:Jupyter Notebook 2
himanshu0195 / Zomato-EDA
Exploratory Data Analysis on Zomato Data
Language:Jupyter Notebook 2MoinDalvs / Learn_EDA_for_Data_Science
Univariate, Bivariate and Multi-variate Analysis
data-scienceexploratory-data-analysisdata-visualizationunivariate-analysisbivariate-analysismulti-variate-analysisdata-type-conversiondata-types-and-structuresduplicates-removaloutlier-detectionmissing-valuesimputationcorrelation-analysisdata-transformationnormalizationpandas-profilingstandardizationLanguage:Jupyter Notebook 2- Language:Jupyter Notebook 2
tushar2704 / Stats-Mosaic-Streamlit
Stats-Mosaic-Streamlit is a comprehensive GitHub repository that aims to provide a growing collection of curated content and projects centered around statistics and its intersection with data science, machine learning, and artificial intelligence.
Language:Python 2venkatesh-eranti / clustering_Bank-Telemarketing-Campaign-Case-Study
In this case study I will be doing Exploratory Data Analytics with the help of a case study on Bank marketing campaign.
Language:Jupyter Notebook 2xfzhang-zoey / Operation_analytics_sales_data_Python_SQL
Décorticage les jeux de données commerciale pour faciliter la prise de décision appuyée sur data: sortir les business insights, identifier les anomalies et des opportunités
Language:Jupyter Notebook 2y656 / Data-Analytics-model-on-Behavioural-Challenges-of-ASD-kids
This repository contains Exploratory Data Analysis in Python on Autism Behavioural Challenges on children(0-18 years) dataset
Language:Jupyter Notebook 2- Language:Jupyter Notebook 1
ash-deol / EDA-Mini-Project
Dataset recording people to invest in each other in a way that is financially and socially rewarding. On loans, borrowers list loan requests between $ 2,000 and $ 35,000, and individual investors invest as little as $ 25 in each loan listing they select. Prosper handles the servicing of the loan on behalf of the matched borrowers and investors. Few more different questions were also included in that mini-project not based on a summary.
Language:Jupyter Notebook 1c-susan / datasci_3_eda
HHA507 / Data Science / Assignment 3 / Exploratory Data Analysis
Language:HTML 1FuadAnalyst / EDA-Exploratory-Data-Analysis
Exploratory Data Analysis (EDA) on a dataset from Kaggle
Language:Jupyter Notebook 1HannahIgboke / Innomatics-Internship
What interesting trends can be seen from the AMEO 2015 study? This is a comprehensive Exploratory Data Analysis of the AMEO study using Python. Come see what I found out during my analysis.
Language:Jupyter Notebook 1MahalakshmiAdabala / Predicting-Term-Deposit-Subscription
Predictive Bank Marketing Campaigns Analysis
Language:Jupyter Notebook 1Mahitej28 / Analysis-of-AMEO-Dataset
Performing Exploratory Data Analysis of a Dataset
Language:Jupyter Notebook 1Maruthi18 / World-Economic-Indicator-Data-analysis
How Country's GDP/Capita depends
Matplotlib The Figure is the overall window or page that everything is drawn on. It’s the top-level component of all. To the figure you add Axes. The Axes is the area on which the data is plotted. A figure can have multiple axes. Note: when you see, for example, plt.xlim, you’ll call ax.set_xlim() behind the covers. All methods of an Axes object exist as a function in the pyplot module and vice versa. Mostly, you’ll use the functions of the pyplot module because they’re much cleaner, at least for simple plots!
Language:Jupyter Notebook 1Mukul-kush / Bank-Marketing-Case-Study
Bank of Corporate Case Study
pradeepdev-1995 / Feature-Selection-Techniques
Feature selection techniques in machine learning is a process of automatically or manually selecting the subset of most appropriate and relevant features to be used in model building. Here we are taking a machine learning regression problem and shows the different steps in feature selection process
Language:Jupyter Notebook 1simrann20 / Retail-Marketing-Exploratory-Data-Analysis-and-Data-Preprocessing
Exploratory Data Analysis and Data Preprocessing on Marketing dataset. Domain - Retail Marketing
Language:Jupyter Notebook 1tcarlos87 / Data-science-Portfolio
Data science solutions
