machine-learning-tutorial
There are 35 repositories under machine-learning-tutorial topic.
mrdbourke/cs329s-ml-deployment-tutorial
Code and files to go along with CS329s machine learning model deployment tutorial.
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.
jim-schwoebel/voice_gender_detection
♂️♀️ Detect a person's gender from a voice file (90.7% +/- 1.3% accuracy).
ashishpatel26/ML-Notes-in-Markdown
Machine learning notes that make your reading easy
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.
RubixML/Housing
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
benckx/dnn-movie-posters
Classify movie posters by genre
RubixML/MNIST
Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
RubixML/Credit
An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
RubixML/Iris
The original lightweight introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.
mdsalnikov/tf-idf_and_k-means
Text clustering with K-means and tf-idf
RubixML/HAR
Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.
RubixML/Colors
Demonstrating unsupervised clustering using the K Means algorithm and synthetic color data.
RubixML/Divorce
Use the K Nearest Neighbors algorithm to predict the probability of a divorce with high accuracy.
leriomaggio/deep-learning-health-life-sciences
Workshop on Deep Learning for Health and Life Sciences
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.
data-flair/Machine-Learning-Tutorial
Learn Machine Learning with machine learning tutorials for beginners, ml practicals, ml excerices, Machine Learning Projects, Interview Questions
curiousily/Logistic-Regression-with-TensorFlow-js
Predict diabetes disease using a Logistic Regression with TensorFlow.js
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.
taguhiM/ZIL_ML
Machine Learning tutorials covering both traditional and deep learning models.
DataSenseiAryan/MLIn10Minutes
A machine repository for kick-starting Machine Learning in no time!
kmc7468/DLCpp
딥러닝 with C++ 소스 코드
Prometheussx/Cancer_Data_Classification_LogisticRegression
Creating a logistic regression algorithm without using a library and making cancer classification with this algorithm model (Kaggle Explained)
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.
TheAmazingElys/tuto-ml-breizhcamp2019
Supports de la conférence "Machine Learning pour tous avec python" présentée au Breizhcamp 2019
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.
IgorWounds/Sklearn-Introduction-Guide
Algotrading101 article about Sklearn
leanh153/Machine-Learning
Machine learning case study
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.
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%.
amansinha28/Machine-Learning-Basics
Machine Learning Algorithm Implementations
mohitzsh/esl
Study notes for Elements of Statistical Learning (ESL) book.
SamdenLepcha/DataScience-Tutorial
A Basic tutorial for beginners in Data Science. Contains step by step solution on the Titanic Dataset.
saurabhkm/GNR652
A follow up page for the session on Machine and Learning and Deep Learning frameworks at GNR 652 course.