ocontreras309 / ML_Notebooks

Related projects: ⓘ

• neptune-ai / blog-binary-classification-metrics
  Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
  ☆55Updated 4 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated 3 months ago
• SachinKalsi / kmedoids
  The Partitioning Around Medoids (PAM) implementation of the K-Medoids algorithm in Python [Unmaintained]
  ☆24Updated last year
• coding-maniacs / over-under-sampling
  ☆11Updated 6 years ago
• Rakeshsuku / Medium-Blog
  Code files for my medium blog
  ☆16Updated 3 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆103Updated 2 years ago
• Jcharis / Interpreting-Machine-Learning-Models
  Interpreting Machine learning Models(ML Models,DL models) with Lime,Eli5,Shap,etc
  ☆23Updated 2 years ago
• solegalli / machine-learning-imbalanced-data
  Code repository for the online course Machine Learning with Imbalanced Data
  ☆159Updated 3 weeks ago
• javaidnabi31 / Multi-class-with-imbalanced-dataset-classification
  Multi-class with imbalanced dataset classification
  ☆84Updated 5 years ago
• ernestng11 / touchpoint-prediction
  Completed Project - Predicting customer touchpoint using XGBoost tuned with GridSearchCV
  ☆19Updated 3 years ago
• lucko515 / dataset-dimensionality-reduction-python
  Here I've demonstrated how and why should we use PCA, KernelPCA, LDA and t-SNE for dimensionality reduction when we work with higher dime…
  ☆19Updated 7 years ago
• Darkprogrammerpb / DeepLearningProjects_when_I_was_a_noob
  ☆26Updated 2 years ago
• bhattbhavesh91 / imbalance_class_sklearn
  Address imbalance classes in machine learning projects.
  ☆35Updated 3 years ago
• knathanieltucker / a-bit-of-deep-learning-and-keras
  Follow along repo for the eponymously named youtube playlist
  ☆61Updated 7 years ago
• theairbend3r / how-to-train-your-neural-net
  Deep learning research implemented on notebooks using PyTorch.
  ☆63Updated 2 years ago
• rasbt / model-eval-article-supplementary
  Supplementary material for the article "Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning"
  ☆65Updated 2 years ago
• shervinea / pytorch-data-generator
  Template for data generator with PyTorch
  ☆129Updated 6 years ago
• PacktPublishing / Hands-On-Explainable-AI-XAI-with-Python
  Explainable AI with Python, published by Packt
  ☆151Updated last year
• akhilvasvani / Linear-Algebra-Basics
  Linear Algebra Fundamentals for Machine Learning
  ☆43Updated 5 years ago
• gabrielziegler3 / xgboost-multiclass-multilabel
  XGBoost Medium article code
  ☆32Updated 4 years ago
• vinyluis / Articles
  References to the Medium articles
  ☆85Updated last year
• johnnychiuchiu / Machine-Learning
  Reproducible machine learning notes in Python and R to record my learning journey in Data Science
  ☆16Updated 5 years ago
• hhaji / Deep-Learning
  Course: Deep Learning
  ☆184Updated 4 months ago
• Harvard-IACS / 2019-CS109B
  ☆62Updated 5 years ago
• TDehaene / blogposts
  Code collection for published blog posts
  ☆77Updated 11 months ago
• adityalahiri / pydata-imbalanced
  Notebook for the talk at PyData NYC 2019 on Dealing With Imbalanced Classes in Machine Learning
  ☆12Updated last year
• SebastianMantey / Random-Forest-from-Scratch
  ☆44Updated 3 years ago
• iArunava / Intro-to-Deep-Learning-with-Pytorch-Udacity-Solutions
  This repository contains my solutions and stand-alone Colab-friendly notebooks for the Intro to Deep Learning with PyTorch Course on Udac…
  ☆20Updated 5 years ago
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆51Updated 3 years ago
• cran2367 / lstm_autoencoder_classifier
  An LSTM Autoencoder for rare event classification
  ☆108Updated 4 years ago