There are 2 repositories under exploratorydataanalysis topic.
Always know what to expect from your data.
In this machine learning project, we will make use of K-means clustering which is the essential algorithm for clustering unlabeled dataset.
Data Explorer - Profile Report and EDA App
The purpose of this project is to provide an end-to-end Business Analysis Solution to minimize Customer Attrition for the Bank.
Unpretentiously exploring stock prices predictions problem by means of Deep Learning based models
Illustration on merging of multiple datasets for implementing machine learning algorithms
Analyzing data from Liquor Sales In Iowa. From Data Cleaning to Data Visualization with Insights.
LetsGrowMore DataScience Internship: During this Internship, I have worked on project related to Data Analytics field in which LSTM, Decision Tree, Random Forest and XGboost have been used.
This repo contains EDA(Exploratory Data Analysis) & Feature Engineering projects made with help of Python and their libraries.
This repository contains the Jupyter notebooks explaining Exploratory data analysis & Prediction of COVID-19.
Program that can take in large amounts of .csv files in the same directory and trains a deep learning neural network model based on the best/worst students evaluated by the user. Second program then utilizes the model from the first program to produce a projected report for each individual student inputted.
Health care analytics to predict the occurrence of cardio vascular diseases