exploratorydataanalysis

Always know what to expect from your data.

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.

Unpretentiously exploring stock prices predictions problem by means of Deep Learning based models

Illustration on merging of multiple datasets for implementing machine learning algorithms

Health care analytics to predict the occurrence of cardio vascular diseases

This repository contains the Jupyter notebooks explaining Exploratory data analysis & Prediction of COVID-19.

Analyzing data from Liquor Sales In Iowa. From Data Cleaning to Data Visualization with Insights.

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.