SirSeriki/Plotly-and-Cufflinks

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SirSeriki/Plotly-and-Cufflinks

SirSeriki

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Data visualization using the Plotly library

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

Jupyter Notebook

Bike-Share-Case-Study

This is a capstone project for the Google Analytics professional certification

Jupyter Notebook

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.

Jupyter Notebook

Cancer-Classfication

Jupyter Notebook

Finance-Project

This data project focuses on exploratory data analysis of stock prices

Jupyter Notebook

Support-Vector-Machines-Project

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

Jupyter Notebook

Choropleth-Maps

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

Jupyter Notebook

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.

Jupyter Notebook

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.

Jupyter Notebook

K-Means-Project-

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

Seaborn-

Jupyter Notebook

Numpy-Excercise-

Jupyter Notebook

Housing-Neural-Network

Jupyter Notebook

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

Jupyter Notebook

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

Jupyter Notebook

LinkedIn-API---Company-Profile-

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