Attempts on Kaggle Problem "Talking Data"
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Updated
Sep 6, 2016 - Jupyter Notebook
Attempts on Kaggle Problem "Talking Data"
Build a Machine Learning model that is able to classify whether or not a person believes in climate change, based on their novel tweet data
My implementations and notes from the Supervised Learning section of the Coursera Machine Learning specialization
Hier versuche ich, verschiedene Programmiersprachen gegenüberzustellen und dabei mehr über sie zu lernen
an iOS app for mapping & classifying locations' audio content submitted by users in real time
Simple linear regression with confidence intervals
Logistic Regression in Python
Create decision functions that attempt to predict survival outcomes from the 1912 Titanic disaster based on each passenger’s features, such as sex and age.
The following repository uses deep learning to predict if the image entered is of a cat or not
A neural network that can do text classification using supervised learning
Udacity machine learning nanodegree learning
Fully-connected neural network constructor and trainer for supervised learning
AI-Hackathon by TargetHR
Stochastic Gradient Descent for Supervised Machine Learning
This repo describes a supervised approach to text classification using different features and classifiers. This, obviously, is good to use if there is labelled data available.
Using Convolution Neural Networks to do both detection (using bounding box regression) and classification of numbers on The Street View House Numbers (SVHN) Dataset
My implementation of some Machine Learning Algorithms I implemented while learning about ML
Data Science track capstone projects in Python.
A supervised classification method for WEKA based on weightless neural networks
Deep Learning Projects Using Keras & Scikit-Learn
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