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2019_citi_bike_analysis_using_tableau

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#!/vizhome/CitiBikeAnalysis_twbx/NYC2019-CitiBikeDataAnalysis

api-challenge

Python script to visualize the weather of 500+ cities across the world of varying distance from the equator.

belly_button_biodiversity

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/

blackjack_game

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

climate_analysis_sqlalchemy_flask

A Flask API for queries based on climate analysis and data exploration.

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

data_journalism_visualization_using_d3

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 it here - https://esharma3.github.io/data_journalism_visualization_using_D3/index.html

data_structures

data_structures

digit_recognition_classification_model

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.

esharma3.github.io

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

excel-challenge-kickstarter

Using the Excel table provided, modified and analyzed the data of 4,000 past Kickstarter projects as an attempt to uncover some market trends.

fish_weight_prediction_machine_learning

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

flask-plotly-demo

gcp-mysql-pandas

Getting started with GCP Cloud Storage. Loading MySQL with Pandas and SQL Alchemy.

indeed-python

Indeed API Python Client Library

king_county_house_price_prediction

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

machine_learning_using_base_python

Implementing Machine Learning Algorithms using base python.

matplotlib-challenge

Created various matplotlib plots to show how the four potential treatments (Capomulin, Infubinol, Ketapril, and Placebo) for squamous cell carcinoma (SCC), a commonly occurring form of skin cancer compare.

mission_to_mars

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.

myers-briggs-personality-prediction

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 psychology and casual writing styles and handling heavily imbalanced classes. Check the app here - https://mb-predictor-motetuzs5q-uc.a.run.app/

nlp-model-for-spam-e-mail-classification

Developed NLP model in python and deployed it using Flask

outlier_detection_techniques

Outlier Detection Techniques in Machine Learning

palmer-archipelago-penguins-data-exploration-

Palmer-Archipelago-Penguins-Data-Exploration

pandas-challenge

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

project_austin_air_quality_analysis_and_prediction

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 of air pollutants like Ozone and NO2 and the climate parameters by using regression models and null hypothesis.

project_australian_bushfires_webapp

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 web based flask app.

project_boston_houseprice_predictions

The purpose of this project is to predict house prices based of off the Boston house price dataset. The project implements univariate and multivariate linear and polynomial regression models.

project_data_jobs_market_analysis

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.

pycaret_anomaly_detection

Pycaret_Anomaly_Detection

python-challenge

Python scripts to handle 4 real world problems - analyzing the financial records of a company, modernizing vote-counting process, automating the passage analysis, converting employee records to the required format