There are 1 repository under exploratory-analysis topic.
Always know what to expect from your data.
Speed Up Exploratory Data Analysis (EDA)
A collection of Jupyter/IPython notebooks
A Toolkit for Interactive Statistical Data Visualization
Machine Learning Applications using Sklearn, matplotlib, pandas, and seaborn
Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
Solr client and user interface for search
Mini-project based on activity detection dataset at UCIML. Checkout branches for latest push.
Consists all the try outs and assignments in AIML program of great lakes
Solution to Data at ANZ virtual internship on Forage
Amazon Recommendation System build on BPR TensorFlow implementation
OCS: Examine the relationship between healthcare spending and healthcare coverage
stemgraphic python package for exploratory data analysis
This repository contains the data analytics lessons I took from the clarusway bootcamp between 5 Jan - 4 Aug 2022 and includes 48 sessions, 10 labs, 12 assignments, 12 weekly agendas, and 5 projects.
Investigate a dataset of appoinment records for Brasil public hospitals
Exploratory analysis and machine learning for Airbnb listings in London
A complete Data Analysis of Technilogy Trends.
This repository has some researches about the Brazilian dairy milk production.
💰 Top school donors analysis
Simple predictive modelling task using time series data.
Análisis y visualización de Datos con R de algunas de las tv series más populares. Datos extraídos de IMDb por Web Scraping
Descriptive Analysis of Pride Parade Lineups, 2011-2018
In this project I make machine learning models to predict market value of professional football player from the "Complete FIFA 19 dataset" from Kaggle. It contains a pdf with the results, a youtube video of me explaining it, the codes and a read me file. Enjoy :)
Testing hypothesis and building Confidence Intervals
This is the Netflix Analysis till 2021 mid, done using Python. Read the "readme" file for a quick overview of the conslusions.
Information/sentiment mining to find out the most popular business organisations from yelp dataset
Welcome to the Time Series repository. This space is dedicated to the study, analysis and application of techniques related to time series analysis. From basic models to advanced approaches, this repository provides resources, tools, and examples for understanding and working with temporal data.
🍷 Exploratory Data Analysis and Machine Learning with KNN model on Wine dataset
An exciting analysis of monthly car sales of a company
An exciting analysis of the salaries of various professions.