A New Interactive Approach to Learning Data Analysis
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Updated
Jul 6, 2023 - Jupyter Notebook
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
Matlab Wrapper of Surface-based Analysis. Custom Matlab functions for running analyses with FreeSurfer, CoSMoMVPA, HCP pipeline (and SamSrf)...
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.
This project aims to analyze the AQI data using univariate and bivariate analysis techniques to understand the distribution, trends, and relationships within the data.
Case study to identify risky loan applicants and understand factors that contribute to a loan default.
Udacity - Data Analyst Nanodegree - Project 5 - Data Visualization
This repository contains Exploratory Data Analysis in Python on Autism Behavioural Challenges on children(0-18 years) dataset
Data Exploration is the initial step in data analysis, where users explore a large data set in an unstructured way to uncover initial patterns, characteristics and points of interest.
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.
Udacity Data Analyst Nanodegree - Project V
Curso de Analítica de datos para la toma de decisiones basadas en información, ofrecido al CEC de la Universidad EAFIT.
This repository contains introductory notebook for logistic regression
A python package with standard data visualization functions with reasonable defaults for use in Exploratory Data Analysis and Model Diagnostics.
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.
Univariate, Bivariate and Multi-variate Analysis
In this case study I will be doing Exploratory Data Analytics with the help of a case study on Bank marketing campaign.
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