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Search results for jupyter notebook supervised learning
jupyter-notebook
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supervised-learning
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78 search results found
100 Days Of Ml Code
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20,750
100-Days-Of-ML-Code中文版
Imodels
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1,229
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Stockpriceprediction
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1,132
Stock Price Prediction using Machine Learning Techniques
Featexp
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656
Feature exploration for supervised learning
Overcoming Catastrophic
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219
Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
Machine_learning_2018
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146
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
Interactive_machine_learning
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132
IPython widgets, interactive plots, interactive machine learning
Coursera Machine Learning Specialization
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120
2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments
Reptile Pytorch
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107
A PyTorch implementation of OpenAI's REPTILE algorithm
Mixmatch Pytorch
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106
Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)
Pytorch Byol
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94
PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Python Machine Learning Book 3rd Edition
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93
<머신 러닝 교과서 3판>의 코드 저장소
Concrete Autoencoders
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83
Sutton Barto Rl Exercises
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83
📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction
Breast Cancer Risk Prediction
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83
Classification of Breast Cancer diagnosis Using Support Vector Machines
Lo Shot
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81
Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning
Coursera_ml_da_specialization
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53
Coursera Specialization: Machine Learning and Data Analysis (Yandex & MIPT)
Mlclass
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52
My main Machine Learning class
Isl Python
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50
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Heart_disease_prediction
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49
Heart Disease prediction using 5 algorithms
Streamline
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47
Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data
Rams
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45
Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".
Dse220_machine_learning
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43
Repo for my graduate data science machine learning class at UCSD (UC San Diego). This course provides a broad introduction to the practical side of machine-learning and data analysis. The topics covered in this class include topics in supervised learning, such as k-nearest neighbor classifiers, decision trees, boosting and perceptrons, and topics in unsupervised learning, such as k-means, PCA and Gaussian mixture models.
Ml Ai
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32
ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions
Cs550
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28
Machine Learning Course at IIT Bhilai
Machine Learning With Scikit Learn Python 3.x
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27
In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised learning, in which the data comes with additional attributes that we want to predict (Click here to go to the scikit-learn supervised learning page).This
Confidentlearning Reproduce
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26
Official data release to reproduce Confident Learning paper results
Machine Learning Nd Portfolio
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25
Machine Learning Engineer Nanodegree portfolio, which includes projects and their notebooks/reports.
Speech Emotion Recognition
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23
Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.
Challenge Aido_rl Il
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23
Reinforcement Learning + Imitation Learning based approach to AI Driving Olympics
Nih Chest Xrays
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22
A collection of projects which explore image classification on chest x-ray images (via the NIH dataset)
Machine_learning_from_scratch_matlab_python
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21
Vectorized Machine Learning in Python 🐍 From Scratch
300daysofmachinelearning Deeplearning
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19
Hello everyone this repo will contain my journey of machine learning and DeepLearning with some exciting projects
Hyperspectral Regression
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18
Code examples for the book chapter "Supervised, Semi-Supervised and Unsupervised Learning for Hyperspectral Regression".
Vettag
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18
Official Code Release for VetTag: improving automated veterinary diagnosis coding via large-scale language modeling
Dl Relu
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16
Deep Learning using Rectified Linear Units (ReLU)
Kaio Machine Learning Human Face Detection
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15
Machine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions
Predicting Baseball Statistics
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14
Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn
Sml_cv
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14
Using supervised machine learning to build collective variables for accelerated sampling
The Supervised Learning Workshop
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13
An Interactive Approach to Understanding Supervised Learning Algorithms
Emotion Prediction With Quantum5 Neural Network Ai Machine Learning
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13
Emotion Prediction with Semi Supervised Learning of Machine Learning Software with RC Algorithm - By Emirhan BULUT Emotion-Prediction-with-Quantum5-Neural-Network-AI
Sentiment Analysis Cnn
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13
Sentiment Analysis using Convolution Neural Networks(CNN) and Google News Word2Vec
Deep Learning
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12
This repository is a related to all about Deep Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)
Edge2guard
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12
Code for PerCom Workshop paper title 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'
Colda
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11
Collaborative Data Analysis for All
Face Recognition Convnext
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11
😉 Face Recognition using Convnext model + Flask
Document_classification
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10
Python code for classification of documents into different classes using machine learning
Mobile Price Prediction Classification Analysis
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10
Supervised Machine Learning Analysis Using Classification Models
Crashcourseinneuralnetworkswithkeras
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10
A Crash Course in Neural Networks With Keras
Sentimentanalysis Python Demo
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10
Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models
Opencv Python Training
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10
OpenCV-Python Tutorials
Machine Learning Notebooks
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9
The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.
Foundationalml
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9
Beginner's guide to Machine Learning. Notebooks, blogs, resources and tracks to help anyone get started.
Ecommerce Reviews Analysis
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9
Statistical Analysis on E-Commerce Reviews, with Sentiment Classification using Bidirectional Recurrent Neural Network (RNN)
Builtup Classification Osm
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9
Replication code for "Supervised Classification of Built-up Areas in Sub-Saharan African Cities using Landsat Imagery and OpenStreetMap"
Machine Learning
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8
Regression and classification solutions
Learn Ai In 30 Days
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8
2022年iThome鐵人賽「AI & Data」組佳作【新手也能懂得AI-深入淺出的AI課程】完整程式碼,該文章會從安裝Python開始到
Network Intrusion Detection Using Machine Learning
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8
A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
Machine Learning
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8
Basic Machine Learning Tutorial
Machine Learning
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7
Fundamentals & projects
Machine Learning Labs
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7
📒 My solutions to practice labs in Machine Learning Specialization by Andrew Ng. I hope it will be helpful.
Income Prediction Machine Learning
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7
In this project, I employ several supervised algorithms to accurately predict an individual income using data collected from the 1994 U.S. Census. We implement various testing procecures to choose the best candidate algorithm from preliminary results and further optimize this algorithm to best model the data.
And The Award Goes To
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7
Oscar prediction with classification algorithms
Saas
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7
Analytic Projects In Python Eda
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6
There are several exploratory data analysis (EDA) analyzes in this file. More data analytics and business approached than machine learning.
Higgs Boson Challange 2020 Epfl
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6
A classification problem on a big physical dataset simulated by the ATLAS experiment from CERN - @ EPFL
Bn Drishti
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6
Line and Word Segmentation for Bangla Handwritten Text Recognition
Machine Learning Codebook
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6
Machine Learning Tutorial for those who are interested in ML
Al_surveypaper
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6
This repository has the codes that were used in our published paper "A survey on Active learning: state-of-the-art, practical challenges and research directions"
Clarusway_machine_learning_course
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6
This repository contains the Machine Learning lessons I took from the Clarusway Bootcamp between 10 Aug - 14 Sep 2022 and includes 17 sessions, 5 labs, 4 case studies, 5 weekly agendas, and 3 projects.
Fairness
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6
Enforcing fairness in binary and multiclass classification
Dbfe
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5
DBFE is a Python library with feature extraction methods that facilitate classifier learning from distributions of genomic variants.
Sparkstreaming Network Anomaly Detection
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5
This repository includes supervised and unsupervised machine learning methods which are used to detect anomalies on network datasets. Decision Tree, Random Forest, Gradient Boost Tree, Naive Bayes, and Logistic Regression were used for supervised learning. K-Means was used for unsupervised learning.
Personal Bank Loan Modeling Classification Analysis
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5
Supervised Machine Learning Analysis Using Classification Models
Masters Thesis Ml
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5
Repository for my master's thesis in machine learning at UiB
Predict Price Car
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5
🚘 Predict price of car with Random Forest Regression
Stanford Machine Learning
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5
My solutions to the assignments in the Machine Learning Specialization offered by Stanford University on Coursera.
Machine Learning Bootcamp
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5
A beginner friendly ML course designed by us at Hermes AI Center for everyone with no prior knowledge in computer science concepts.
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