[About] Predict fraudulent activity that was reported. [Tools] Random Forest, support vector machine, pandas, logistic regression,matplotlib, sklearn
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Updated
Oct 24, 2013 - JavaScript
[About] Predict fraudulent activity that was reported. [Tools] Random Forest, support vector machine, pandas, logistic regression,matplotlib, sklearn
Given project compares various machine learning classifiers and provides their results on car dataset of UCI Machine learning library.
Iris Dataset implementation using Python ML libraries
Decision Tree Classifier model implemented in a python program.
Digit-Recognizer | Kaggle Competition | Keras | Deep Learning
This is a project use to describe if a mammogram is bening or malignant. The data set is from the uci repository and this is my final project implementation for the sundog frank kane udemy data science course. The implementation was well visualized and explaine for both experts and beginners. It also contains link to various models or methods used.
Machine Learning challege given by kaggle to check whether the two questions have same meaning or not.
Using machine learning workflow to predict a car's market price using its attributes
Machine Learning without graphlab. Algorithm implementation from scratch
Regression and Classification task with sklearn.
The assignments introducing the concepts of Machine Learning written with sklearn library of python.
A python repository with a tool for sentiment analysis on Twitter using Machine Learning algorithms - Bachelor Computer Science Final Project
"Key-Agricultural Commodities Daily Market Price Predictor" is a Deep Neural Networks Project that predicts minimum, maximum and modal prices of 12 agricultural commodities that are grown in India.
Implementation of Neural Network - Beginner level
Machine Learning/Pattern Recognition Models to analyze and predict if a client will subscribe for a term deposit given his/her marketing campaign related data
Building a iOS Application using Apple's Core ML Framework, we will builed a Linear SVC model using sklearn library on the SMS Data, users will type a message on their iPhone and our model will then identify whether the message is a Spam or a Ham (Not spam).
Exploratory Data Analysis on Titanic Survivor Dataset provided by Kaggle.
A curated list of awesome Machine Learning frameworks, libraries and software.
We developed a model that will predict the likelihood that a given employed citizens of CA as a potential donor of a fictitious charity organization, Charity ML.
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