There are no reviews yet. Be the first to send feedback to the community and the maintainers!
chicago-crime-data-analysis
[Data Science] Chicago Crime data analysis from 2001 to present.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 collegesKaggle-crime-master
[Data Science] An end to end project to explore & visualize crime data and predict category of crime in San Francisco.Linear-Regression-Prediction-Project-part-2
Analyse a Housing Dataset of Usa for predicting housing prices for regions in the USALinear-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 websitecollege_admissions_prediction
Predict a candidate's chances of being admitted into a college based on GPA and GRE scoreLogistic-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 userCollege-Basketball-Final-Four-Prediction
Analyze basketball metrics of different college basketball teams and predict which teams can make it to the NCAA Final Four.Amazon-Personalize-utility-demo-scripts
Amazon Personalize / MovieLens inference utility/demo scriptsRecommender-Systems-with-Python
developing basic recommendation systems using Python and pandas for Movie Datasets.K-Nearest-Neighbors-Project
Analyse Dataset and choose a K value, with new value predict and evaluate the datasetK-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.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 childrenGeorgia-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.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 thisHouse_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.Logistic-Regression-with-Python-Part-1
Analyse the Titanic Data Set from Kaggle and predict a classification- survival or deceasedMovie-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.Car-Origin-Classification
Predict a car's origin (i.e was it made in North America, Europe, or Asia?).US-Senate-Voting-Analysis
Model and visualize the political spectrum and divide of the 114th Congress of the United States of America.mlops-workshop
This repository contains a collection of workshops that show different approaches to MLOps on AWS.Love Open Source and this site? Check out how you can help us