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  • Language
    Python
  • Created almost 5 years ago
  • Updated almost 5 years ago

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Repository Details

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1

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.
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2

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3

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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.
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5

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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6

Cancer-Classfication

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7

Finance-Project

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8

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We will be analyzing the famous iris data set. Creating a Support Vector Machine model based off the dataset
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9

Choropleth-Maps

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10

Seaborn-Exercise-

Data Visualization using the Seaborn Library
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11

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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12

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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13

Plotly-and-Cufflinks

Data visualization using the Plotly library
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14

K-Means-Project-

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15

Seaborn-

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16

Numpy-Excercise-

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17

Housing-Neural-Network

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18

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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19

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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20

LinkedIn-API---Company-Profile-

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