Functions to save time when doing EDA.
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Updated
Feb 5, 2020 - R
Functions to save time when doing EDA.
Machine Learning with Python: Halliburton Landmark Learning
Exploratory Data Analysis for Covid-19 data and deploying the result on ngrok with jupyter notebook
Exploratory analysis of the Kaggle dataset, "Space Missions from 1957" in Python.
Modeling-Oreinted Exploratory Data Analysis - Finally, At a Glance Useful EDA
An exploratory data project in R.
This is the 1st project in Udacity's Business Analytics Nanodegree
Analysis of interest in the website on coffee from google form.
In this i have performed complete feature engineering that is from handling null values, Categorical features upto performing feature scaling on our test_data and train_data.
In this project, Exploratory Data Analysis approach is applied to analyse a dataset of car advertisement in a web, to determine what factors correlate with a car's selling price.
A Fitness Company wants to know the customer behavior towards the threadmill and want recommendations to increase its profits.
Airline Passenger Satisfaction Analysis
My first main Exploratory Project on Python. Data Analyst and aspiring Data Scientist here in love with Data!
Report of key indicatior in Brazilian aviation market.
Prediction of students' dropout using classification models. Data visualisation, feature selection, dimensionality reduction, model selection and interpretation, parameters tuning.
Explored data using data visualisation and exploratory data analysis. Used Logistic Regression to create a basic prediction model. Improved model using recursive feature elimination.
X-ray emisson spectroscopy (XES) data analysis package
Imbalanced learning of real world datasets - motor vehicle collisions on public roads in Canada.
The goal of this project is to build a transparent and accurate model to predict house prices in Pakistan
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