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amazon_vine_analysis

Work on the Watches dataset and use PySpark to perform the ETL process to extract the dataset, transform the data, connect to an AWS RDS instance, and load the transformed data into pgAdmin. Next, you’ll use PySpark, Pandas, or SQL to determine if there is any bias toward favorable reviews from Vine members in your dataset.

belly_button_biodiversity

We need to identify the top 10 bacterial species in their belly buttons. That way, if Improbable Beef identifies a species as a candidate to manufacture synthetic beef, Roza's volunteers will be able to identify whether that species is found in their navel.

citibike_analysis

The main purpose of this report is to study the New York CitiBike data for the month of August which is the busiest month and highlight the main talking points such us type of users, CitiBike user by Gender, and prepare a comparative study for a similar project/opportunity in Des Moines, Iowa.

credit_risk_analysis

Credit risk is an inherently unbalanced classification problem, as good loans easily outnumber risky loans. Therefore, you’ll need to employ different techniques to train and evaluate models with unbalanced classes. Using the credit card credit dataset from LendingClub, a peer-to-peer lending services company,

cryptocurrencies

Accountability Accounting, a prominent investment bank, is interested in offering a new cryptocurrency investment portfolio for its customers. The company, however, is lost in the vast universe of cryptocurrencies. We create a report that includes what cryptocurrencies are on the trading market and how they could be grouped

election_analysis

Write a code in VS Code to perform analysis on the election data provided and obtain the results

gunviolence_us

The aim of this study is to visualize the gun violence data collected for the year 2018 and highlight what I think are the most important Factors contributing to gun violence.

ibmskill_final

Statistical Analysis of Boston Housing

kickstarter_analysis

Analyze data for Kickstarter campaigns across the globe and present Louise with information on trends

mapping_earthquakes

Plot the earthquake data in relation to the tectonic plates’ location on the earth, and show all the earthquakes with a magnitude greater than 4.5 on the map, and they would like to see the data on a third map.

mechacar_statistical-analysis

Perform multiple linear regression analysis to identify which variables in the dataset predict the mpg of MechaCar prototypes. Collect summary statistics on the pounds per square inch (PSI) of the suspension coils from the manufacturing lots. Run t-tests to determine if the manufacturing lots are statistically different from the mean population.

mission_to_mars

Use BeautifulSoup and Splinter to scrape full-resolution images of Mars’s hemispheres and the titles of those images, store the scraped data on a Mongo database, use a web application to display the data, and alter the design of the web app to accommodate these images.

movies-etl

Amazing Prime loves the dataset and wants to keep it updated on a daily basis. We create one function that takes in the three files Wikipedia data, Kaggle metadata, the MovieLens rating data and creates an automated pipeline that takes in new data, performs the appropriate transformations, and loads the data into existing tables.

neural_network_charity_analysis

With your knowledge of machine learning and neural networks, you’ll use the features in the provided dataset to help create a binary classifier that is capable of predicting whether applicants will be successful if funded by Alphabet Soup.

pewlitt-hackard-analysis

Determine the number of retiring employees per title, and identify employees who are eligible to participate in a mentorship program. Write a report that summarizes your analysis and helps prepare Bobby’s manager for the “silver tsunami” as many current employees reach retirement age.

pyber_analysis

Analyze all the rideshare data from January to early May of 2019 and create a compelling visualization

school_district_analysis

Use Jupyter Notebook and Pandas library to perform the analysis for standardized test for a school district

stock_analysis

Use VBA to write a code Which will help in performing automated analysis on the stock options

surfs_up

Create temperature reports to help determine if the surf shop can operate through out the year, leading to a sustainable business.

testrepo

Python Project for Data Scientists- IBM Labs

toronto_house_prices

toronto_parking

The goal of this study is to find the most common type and location of parking infraction. We can then determine any alternate parking available at that location. We can also analyse the socio-demagraphic trends of the neighborhoods with most infractions.

ufos

The purpose of this project is to create a webpage that allows us to filter the table containing UFO sightings. Multiple filters on the webiste are Date, City, State, Country and shape which can be used at the same time

unpaved_road_condition_monitoring

The aim of this paper is to review existing methods already available in the literature, and present a research into the use of smartphones for classification of unpaved roads utilizing the machine learning techniques including K-Nearest Neighbor (KNN) and Support Vector Machines (SVM).

world_weather_analysis

Use beta testers input statements to filter the data for their weather preferences, which will be used to identify potential travel destinations and nearby hotels. The beta tester will then choose four cities to create a travel itinerary. Finally, using the Google Maps Directions API, we will create a travel route between these cities .