mrdbourke/cs329s-ml-deployment-tutorial

Code and files to go along with CS329s machine learning model deployment tutorial.

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RubixML/Sentiment

An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.

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jim-schwoebel/voice_gender_detection

♂️♀️ Detect a person's gender from a voice file (90.7% +/- 1.3% accuracy).

Language: Python - Size: 9.57 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 82 - Forks: 25

ashishpatel26/ML-Notes-in-Markdown

Machine learning notes that make your reading easy

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RubixML/CIFAR-10

Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.

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RubixML/Housing

An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.

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benckx/dnn-movie-posters

Classify movie posters by genre

Language: Python - Size: 1.93 MB - Last synced at: 17 days ago - Pushed at: over 5 years ago - Stars: 51 - Forks: 33

RubixML/MNIST

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

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RubixML/Iris

The original lightweight introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.

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RubixML/Credit

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

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mdsalnikov/tf-idf_and_k-means 📦

Text clustering with K-means and tf-idf

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RubixML/HAR

Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.

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RubixML/Colors

Demonstrating unsupervised clustering using the K Means algorithm and synthetic color data.

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RubixML/Dota2

Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and results from 102,944 sample games.

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RubixML/Divorce

Use the K Nearest Neighbors algorithm to predict the probability of a divorce with high accuracy.

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leriomaggio/deep-learning-health-life-sciences

Workshop on Deep Learning for Health and Life Sciences

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curiousily/Logistic-Regression-with-TensorFlow-js

Predict diabetes disease using a Logistic Regression with TensorFlow.js

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junhoning/machine_learning_tutorial

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DataSenseiAryan/MLIn10Minutes

A machine repository for kick-starting Machine Learning in no time!

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taguhiM/ZIL_ML

Machine Learning tutorials covering both traditional and deep learning models.

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kmc7468/DLCpp

딥러닝 with C++ 소스 코드

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Prometheussx/Sign-Language-Classification-Tutorial

This project utilizes logistic regression to classify numbers 0 and 1 using sign language gestures. It successfully achieves the task of sign language classification, reaching a test accuracy of 93.54%.

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anastazijaverovic/Machine_Learning_Algorithms_R

The repository contains exercises on Machine Learning algorithms in R, using RStudio. Used to dive into ML, data preprocessing, data visualisation, and data exploration.

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Zoubyr/traditional-machine-learning

Geleneksel Makine Öğrenmesi Yöntemleri ile Çalışmalarım

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Prometheussx/Multiply-Linear-Regression

A Python code for data analysis and salary predictions using a multiple linear regression model. The code calculates the intercept and coefficients of the model and makes predictions on sample data.

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Prometheussx/Linear-Regression

This Python code represents a machine learning project that builds a simple linear regression model using experience and salary data. It plots the data, constructs the regression model, and visualizes the results.

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TheAmazingElys/tuto-ml-breizhcamp2019 Fork of pagesjaunes/tuto-ml-breizhcamp2019

Supports de la conférence "Machine Learning pour tous avec python" présentée au Breizhcamp 2019

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Prometheussx/Cancer_Data_Classification

Creating a logistic regression algorithm without using a library and making cancer classification with this algorithm model (Kaggle Explained)

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drazendee/tf2_quickstart_valohai

In this tutorial we'll bring the TensorFlow 2 Quickstart to Valohai, taking advantage of Valohai versioned experiments, data inputs, outputs and exporting metadata to easily track & compare your models.

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IgorWounds/Sklearn-Introduction-Guide

Algotrading101 article about Sklearn

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leanh153/Machine-Learning

Machine learning case study

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Mai11122006/Iris-ml-classifier

PyTorch model that classifies Iris species based on characteristics about the length and width of sepals and petals.

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mohitzsh/esl

Study notes for Elements of Statistical Learning (ESL) book.

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amansinha28/Machine-Learning-Basics

Machine Learning Algorithm Implementations

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saurabhkm/GNR652

A follow up page for the session on Machine and Learning and Deep Learning frameworks at GNR 652 course.

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