SirSeriki/Seaborn-

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SirSeriki/Seaborn-

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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 calls

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Bike-Share-Case-Study

This is a capstone project for the Google Analytics professional certification

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RFM-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.

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Cancer-Classfication

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Finance-Project

This data project focuses on exploratory data analysis of stock prices

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Support-Vector-Machines-Project

We will be analyzing the famous iris data set. Creating a Support Vector Machine model based off the dataset

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Choropleth-Maps

Choropleth Maps of Global Power consumption in KWH and Map of 2012 General election voting Data

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Seaborn-Exercise-

Data Visualization using the Seaborn Library

Gem-Stone-Neural-Network

A deep learning model that learns and predicts the price of gem stones based off its features.

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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.

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Plotly-and-Cufflinks

Data visualization using the Plotly library

K-Means-Project-

For this project we will attempt to use KMeans Clustering to cluster Universities into to two groups, Private and Public.

Numpy-Excercise-

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Housing-Neural-Network

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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, movies

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K-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 dataset

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LinkedIn-API---Company-Profile-

A simple script for retrieving company profile data via the LinkedIn API using the RlinkedIn package