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HubSpotDataEnrichment
This function makes an API call to the Apollo.io API to retrieve contact information based on a person's first name, last name, email, and domain. It then extracts the phone number from the API response and returns it through a callback function. This is then passed back into the HubSpot 'Phone' contact property using a custom coded workflow.911-Calls-Project
Data analysis and visualization of 911 callsBike-Share-Case-Study
This is a capstone project for the Google Analytics professional certificationRFM-Analysis
The RFM analysis optimizes revenue operations using HubSpot. It segments customers for strategic decision-making. Leverage results for cross-selling, customer support triage, and re-engagement email campaigns, maximizing revenue and customer retention.K-Means-Project
For this project we will attempt to use KMeans Clustering to cluster Universities into to two groups, Private and Public.Cancer-Classfication
Finance-Project
This data project focuses on exploratory data analysis of stock pricesSupport-Vector-Machines-Project
We will be analyzing the famous iris data set. Creating a Support Vector Machine model based off the datasetChoropleth-Maps
Choropleth Maps of Global Power consumption in KWH and Map of 2012 General election voting DataSeaborn-Exercise-
Data Visualization using the Seaborn LibraryGem-Stone-Neural-Network
A deep learning model that learns and predicts the price of gem stones based off its features.Data-Visuaization-with-Pandas
Titanic-Passenger-Analysis
The objective is to prove the hypothesis that low-income passengers suffered the most losses on the ill-fated Titanic during its maiden voyage in 1912.Plotly-and-Cufflinks
Data visualization using the Plotly libraryK-Means-Project-
For this project we will attempt to use KMeans Clustering to cluster Universities into to two groups, Private and Public.Seaborn-
Numpy-Excercise-
Housing-Neural-Network
Movie-Recommender-System
This Machine learning algorithm will focus on providing a basic recommendation system by suggesting items that are most similar to a particular item, in this case, moviesK-Nearest-Neighbor-Model
Using KNN to create a model that directly predicts a class for a new data point based off of the features based off a classified datasetLove Open Source and this site? Check out how you can help us