Machine Learning Projects | Cloud Tech (@My-Machine-Learning-Projects-CT)

Top repositories

1

chicago-crime-data-analysis

[Data Science] Chicago Crime data analysis from 2001 to present.
Jupyter Notebook
14
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2

K-Means-Clustering-with-Python-part-2

Using KMeans Clustering to analyse the College Data and form clusters from it based on Feature Private meaning private and public colleges
Python
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3

Kaggle-crime-master

[Data Science] An end to end project to explore & visualize crime data and predict category of crime in San Francisco.
Jupyter Notebook
12
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4

Linear-Regression-Prediction-Project-part-2

Analyse a Housing Dataset of Usa for predicting housing prices for regions in the USA
Python
12
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5

Linear-Regression-Prediction-Project-Part-1

Analyse a Dataset of Ecommerce company based in New York City that sells clothing online , order either on a mobile app or website for the clothes they want.Predict whether to buy using mobile app or website
Python
12
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6

college_admissions_prediction

Predict a candidate's chances of being admitted into a college based on GPA and GRE score
Jupyter Notebook
11
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7

Logistic-Regression-with-Python-Part-2

Analyse advertising data set, indicating whether or not a particular internet user clicked on an Advertisement.predict whether or not they will click on an ad based off the features of that user
Python
11
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8

College-Basketball-Final-Four-Prediction

Analyze basketball metrics of different college basketball teams and predict which teams can make it to the NCAA Final Four.
Jupyter Notebook
11
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9

Amazon-Personalize-utility-demo-scripts

Amazon Personalize / MovieLens inference utility/demo scripts
Python
10
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10

Recommender-Systems-with-Python

developing basic recommendation systems using Python and pandas for Movie Datasets.
Python
10
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11

Car-Price-Prediction

Predict a car's market price using its attributes.
Jupyter Notebook
10
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12

K-Nearest-Neighbors-Project

Analyse Dataset and choose a K value, with new value predict and evaluate the dataset
Python
10
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13

K-Means-Clustering-with-Python-part-1

K Means Clustering is an unsupervised learning algorithm that tries to cluster data based on their similarity. Making Random data using blobs and Analysing it and forming Clusters from it.
Python
10
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14

kyphosis-prediction-using-Decision-Trees-and-Random-Forests-in-Python

Analyse the dataset and using Decision Trees and Random Forests in Python predicting kyphosis present or absent within children
Python
10
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15

Georgia-Restaurant_Inspection

The purpose of this project is to analyze, specify, design, implement, document, and demonstrate a database management information system called the Georgia Restaurant Health Inspection System.
CSS
10
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16

Loan-prediction-using-Decision-Trees-and-Random-Forest-Project

Analysing publicly available data from LendingClub.com. Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor you would want to invest in people who showed a profile of having a high probability of paying you back. We will try to create a model that will help predict this
Python
10
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17

House_Sale_Price_Prediction

Investigate housing data set and build an ML Pipeline that automates feature engineering, feature selection, and training and testing models for estimation and prediction of housing prices.
Jupyter Notebook
10
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18

Logistic-Regression-with-Python-Part-1

Analyse the Titanic Data Set from Kaggle and predict a classification- survival or deceased
Python
10
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19

Movie-Similarities

Analyze close to 1 million movie ratings to generate movie recommendations based on a particular movie that anyone may have watched. Recommendations were determined using item-based collaborative filtering.
Python
9
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20

Car-Origin-Classification

Predict a car's origin (i.e was it made in North America, Europe, or Asia?).
Jupyter Notebook
9
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21

US-Senate-Voting-Analysis

Model and visualize the political spectrum and divide of the 114th Congress of the United States of America.
Jupyter Notebook
8
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22

mlops-workshop

This repository contains a collection of workshops that show different approaches to MLOps on AWS.
Python
1
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