There are 0 repository under univariate-analysis topic.
A New Interactive Approach to Learning Data Analysis
Time Series Analysis of Air Pollutants(PM2.5) using LSTM model
This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project
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.
Matlab Wrapper of Surface-based Analysis. Custom Matlab functions for running analyses with FreeSurfer, CoSMoMVPA, HCP pipeline (and SamSrf)...
Case study to identify risky loan applicants and understand factors that contribute to a loan default.
Udacity - Data Analyst Nanodegree - Project 5 - Data Visualization
Exploratory Data Analysis Theory and Python Code
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.
This repository contains introductory notebook for logistic regression
Udacity Data Analyst Nanodegree - Project V
Business Case: Walmart - Confidence Interval and CLT
Curso de Analítica de datos para la toma de decisiones basadas en información, ofrecido al CEC de la Universidad EAFIT.
Exploratory Data Analysis on Zomato Data
Univariate, Bivariate and Multi-variate Analysis
A python package with standard data visualization functions with reasonable defaults for use in Exploratory Data Analysis and Model Diagnostics.
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.
In this case study I will be doing Exploratory Data Analytics with the help of a case study on Bank marketing campaign.
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
This repository contains Exploratory Data Analysis in Python on Autism Behavioural Challenges on children(0-18 years) dataset
The lingress project is to develop the pipeline to analyse the Nuclear magnetic resonance (NMR) dataset using a univariate linear regression model. This package contains the analysis with linear regression (OLS) and visualises the interpretation of the results with a p-value of all NMR peaks.
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.
HHA507 / Data Science / Assignment 3 / Exploratory Data Analysis
Exploratory Data Analysis (EDA) on a dataset from Kaggle
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.
Predictive Bank Marketing Campaigns Analysis
Performing Exploratory Data Analysis of a Dataset
How Country's GDP/Capita depends
Bank of Corporate Case Study
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
Exploratory Data Analysis and Data Preprocessing on Marketing dataset. Domain - Retail Marketing
Data science solutions
Analysing symptoms and knowing the disease beforehand is a major concern because of its importance in saving human lives and ensuring proper medical care. To extract relevant information from the data that can support healthcare professionals in formulating strategies related to the prevention, diagnosis, and treatment of diseases. To study how do