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

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.

Illustration on merging of multiple datasets for implementing machine learning algorithms

Health care analytics to predict the occurrence of cardio vascular diseases

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

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.

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.

Explore Titanic dataset to uncover survival insights. Analyze demographics, ticket class, and cabins. Understand factors influencing passenger survival.