Alternatives and similar repositories for NTHU-Machine-Learning

Users that are interested in NTHU-Machine-Learning are comparing it to the libraries listed below

• vsmolyakov / kaggle
  kaggle
  ☆29Updated 6 years ago
• anirudhpillai16 / Time-Series-Analysis
  This repository contains Time series Analysis and Forecasting tutorial from Analytics Vidhya
  ☆22Updated 7 years ago
• hanhanwu / Hanhan_Data_Science_Practice
  data analysis, big data development, cloud, and any other cool things!
  ☆30Updated 10 months ago
• jlricon / advanced-deep-learning
  Files for the Advanced Machine Learning Coursera course
  ☆19Updated 7 years ago
• jimmycy93 / Credit-Card-Fraud-Detection
  A project on machine learning techniques dealing with imbalanced classification (Python)
  ☆11Updated 7 years ago
• rupakc / Kaggle-Compendium
  Baseline Python Scripts for Popular Kaggle Competitions
  ☆17Updated 2 years ago
• PacktPublishing / Large-Scale-Machine-Learning-With-Python
  Code repository for Large Scale Machine Learning with Python, published by Packt
  ☆90Updated 2 years ago
• FavioVazquez / deep-learning-pyspark
  Deep Learning with Apache Spark and Deep Cognition
  ☆59Updated 7 years ago
• thinknewtech / Data-Science
  R , Python, Machine Learning, Data Analysis, Data Visualization,Data Manipulation,Data Cleaning
  ☆45Updated 7 years ago
• thismlguy / easyML
  A Python Package for data processing and building ML models, primarily based on pandas and sklearn libraries.
  ☆17Updated 5 years ago
• PacktPublishing / Ensemble-Machine-Learning-Cookbook
  Ensemble Machine Learning Cookbook, published by Packt
  ☆60Updated 2 years ago
• PacktPublishing / Hands-on-Unsupervised-Learning-with-Python
  Hands on Unsupervised Learning with Python [Video], Published by Packt
  ☆29Updated 2 years ago
• thismlguy / AJ_ML_Library
  This library is a wrapper for sklearn and works with data stored using Pandas module.
  ☆17Updated 9 years ago
• NirantK / keras-practice
  Notebooks covering Intro to CNN, Transfer Learning using VGG16
  ☆12Updated 7 years ago
• Hvass-Labs / swarmops
  Heuristic Optimization for Python
  ☆72Updated 5 years ago
• hamaadshah / gan_tensorflow
  Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
  ☆51Updated 2 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 8 years ago
• jayinai / how-to-kaggle
  A research into the workflow for Kaggle competition (and data science in general) collaboratively
  ☆48Updated 8 years ago
• PacktPublishing / Hands-On-Automated-Machine-Learning
  Hands-On Automated Machine Learning, published by Packt
  ☆70Updated 2 years ago
• CristiVlad25 / ml-sklearn
  Tutorials on Machine Learning with Scikit-Learn
  ☆82Updated 4 years ago
• olympus999 / cifar-10-wrn
  Using Wide Residual Networks to get state-of-the-art results in CIFAR-10 dataset
  ☆20Updated 7 years ago
• daines-analytics / tabular-data-projects
  Collection of ML scripts for tabular datasets
  ☆14Updated 2 years ago
• dnc1994 / MachineLearning-UW
  Solutions for Machine Learning Specialization MOOC offered by University of Washington.
  ☆16Updated 7 years ago
• nsanghi / bayesian-methods-for-ml
  My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)
  ☆27Updated 7 years ago
• robertdefilippi / ensemble-bagging-boosting
  ☆28Updated 6 years ago
• imor-de / microsoft_malware_prediction_kaggle_2nd
  This repository contains the winning solution (2nd place) of the Macrosoft Maleware Prediction Challenge on Kaggle.
  ☆34Updated 6 years ago
• sparsh-ai / reco-bandit
  Building recommender Systems using contextual bandit methods to address cold-start issue and online real-time learning
  ☆11Updated 3 years ago
• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆20Updated 8 years ago
• deeplearning-math / slides
  ☆16Updated 6 years ago
• johannespetrat / OptML
  Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.
  ☆77Updated 7 years ago