Building a model to detect anomaly in the credit card transactions
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Updated
Sep 28, 2018 - Jupyter Notebook
Building a model to detect anomaly in the credit card transactions
using MarDCT dataset to distinguish between different types of venice boats
Skytrax Airlines Customer Satisfaction Analytics - This is my capstone project for General Assembly.
Simple way for representing text data while modelling with Machine Learning algorithms
A project to create a ML classification model for Indonesian text/sms messages using Tensorflow.
Clasificador de un punto en una zona (rosado/azul) como ejemplo de una red neuronal simple
Classification model for data cleansing tasks
This repository describes the implementation of Machine Learning techinques using the Statsmodels pacakge
A collection of machine learning algorithms, written in Python.
Classification task on Immunotherapy data set
Cat Dog Classifier with CNN using Keras
FASHION_MINST_PREDICTION_USING_CNN
A collection of classification algorithms for different purposes
To build a classification model to predict the likelihood of a liability customer buying personal loans.
An app that predicts the flair of a post from Reddit's r/india SubReddit given it's URL. The App is deployed and live on Heroku, check it out at :
Using R Language to predict whether a user will download an app after clicking a mobile app advertisement. Click on the link below to see more details!
Built the appropriate NLP model for each entered resume to filter them upon the request of the HR department. Using various models to apply the appropriate NLP techniques dealing with our data set. After that, we have used supervised learning on our data by applying a KNN classifier, and we have used unsupervised learning on our data by clusteri…
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