malvi1497 Goto Github PK

amazon_vine_analysis

bikesharing_nyc

The purpose of this analysis is to create a proposal that supports investors to support a bike-sharing program in Des Moines, Iowa. From the given dataset, we were able to create visualizations to see average biking durations trends and the relationships between gender and popular biking times.

bk-covid19

Exploratory and predictive analysis over Covid-19 cases.

covid_19_final_project

credit_risk_analysis

To evaluate the performance of supervised machine learning models to make a written recommendation on whether they should be used to predict credit risk.

cryptocurrencies

Using our dataset to look for any groupings, trends, or other information that could help us pitch cryptocurrencies to a firm with the help of unsupervised machine learning

election_analysis

An in-depth election result analysis conducted with the help of Python in VS Studio.

kickstarter_excel_analysis

An in-depth analysis of a crowdfunding project using Pivot tables and Pivot chart function on MS Excel.

malvi1497

Config files for my GitHub profile.

mapping_earthquakes

mechacar_statistical_analysis

Performed multiple linear regression analysis to identify which variables in the dataset predict the mpg of MechaCar prototypes and collected summary statistics on the pounds per square inch (PSI) of the suspension coils from the manufacturing lots. Ran t-tests to determine if the manufacturing lots are statistically different from the mean population and designed a statistical study to compare vehicle performance of the MechaCar vehicles against vehicles from other manufacturers with a summary interpretation for each analysis.

mission_to_mars

movies-etl

Create an automated pipeline that takes in new data, performs the appropriate transformations, and loads the data into existing tables using the ETL process by adding the data to a PostgreSQL database.

neural_network_charity_analysis

Using deep machine learning - neural networks to assist a large charitable organization to predict which organization to donate to with high a successful outcome. Different neural network models were tested for its optimization with a goal to achieve an accuracy prediction over 75%.

pewlett-hackard-analysis

A database was created using SQL to help determine the number of retiring employees in the company and to find the employees who are eligible for the mentorship program in the company

plotly_deployment

pybear_analysis

A data visualization project using Matplotlib library to help a ridesharing cab company improve its access to it's services and determine affordability in certain neighborhoods.

school_district_analysis

An analysis of district school trends using PANDAS in Jupyter Notebook.

stock_analysis

Analysis of stock information with the help of VBA

surfs_up_analysis

The aim of this analysis is to view the temperatures on Oahu during the months of June and December to help determine whether business in surfing and ice cream shops are sustainable year-round, by creating a query that captures the temperatures specifically for the months of June and December.

ufos

world_weather_analysis

Collect and retrieve weather data using API and store and analyze it in a Data Frame using PANDAs and plot the data using Matplotlib and Google Maps.