data_structures

NLP based Classification Model that predicts a person's personality type as one of the 16 Myers Briggs personality types. Extremely challenging project dealing with correlation between human psycho…

A Streamlit based Twitter Sentiment Analyzer app that fetches Tweets real time, analyzes them and provides Sentiment Scores, Word Cloud, Subjectivity-Objectivity Score and Latest Tweets. Link - htt…

Classifying an email as spam or ham using Support Vector Machine.

Detailed analysis of deadly Australian Bushfires, their locations, number of fires, impact caused by the fires and climate & greenhouse gases role in causing the fires, presented in the form of a w…

The purpose of this project is to analyze the impact of climate change on air quality for the city of Austin and create a machine learning model that can establish a correlation between the level o…

The purpose of this project is to analyze the US job market for Data Jobs using the Indeed data (2019) for top 10 US Tech(IT) cities.

pandas scripts to analyze the data for a game and to analyze the district-wide standardized test results.

A full stack interactive dashboard to explore the Belly Button Biodiversity Data from The Public Science Lab. Check it here: https://belly-button-dashboard-app.herokuapp.com/

Bank Card Fraud Detection project that uses 'unsupervised anomaly detection' and 'unsupervised & supervised deep learning' techniques to detect anomalous data points.

Time-Series-Analysis

Word2Vec-Model

Wine_Classifier_Single_Layer_Perceptron

Palmer-Archipelago-Penguins-Data-Exploration

My personal page created using html, bootstrap, css. Check it here - https://esharma3.github.io/

Pycaret_Anomaly_Detection

Implementing Linear Regression Algorithm using Python Object Oriented Programming Concepts.

Outlier Detection Techniques in Machine Learning

A Regression Model that predicts a fish's weight based on its specie, length, width & height.

The purpose of this project is to build a classification model that can recognize digits as accurately as possible. The datasets used for this project are the sklearn's mnist and digits dataset.

Using Tableau, analyzed New York City's Citi Bike data for 2019 to uncover interesting observations. Enjoy the findings and visualizations here - https://public.tableau.com/profile/ekta7638#!/vizho…

Implemented various Regression Models to predict house prices for King County (including Seattle).

An advanced scatter plot created using D3 visualization library with multiple x and y axes labels that lets the user select between the three labels on each axis and interact with the data. Check i…

Implementing Machine Learning Algorithms using base python.

A JavaScript project that adds a table of ufo sightings data (for North America) on a web page dynamically based on the filtered criteria through drop down list options. Check it here: https://esha…

A web scraping project that uses requests, selenium, splinter to scrape data from various urls, save it in mongodb and uses flask templating to display scraped data on web page.

This project scrapes images from google image search.

Simple game of Black Jack implemented using Python Object Oriented Programming concepts.

The purpose of this project is to analyze the relation between latitude and climate parameters for 500+ cities across the world of varying distance from the equator and creating a visualization das…