Alternatives and similar repositories for data414

Users that are interested in data414 are comparing it to the libraries listed below

• 5x12 / course-prodml
  ☆59Updated last year
• Carl-McBride-Ellis / Compendium-of-free-ML-reading-resources
  Compendium of free ML reading resources
  ☆407Updated 3 weeks ago
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆293Updated 4 years ago
• Suji04 / ML_from_Scratch
  Implementation of basic ML algorithms from scratch in python...
  ☆311Updated 4 years ago
• rasbt / stat453-deep-learning-ss21
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
  ☆518Updated 3 years ago
• ritvikmath / YouTubeVideoCode
  Code related to my YouTube vids!
  ☆249Updated 9 months ago
• Pegah-Ardehkhani / Statistics-and-Probability-in-Python
  A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
  ☆146Updated 7 months ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆89Updated 6 years ago
• deskool / nlp-class
  A Natural Language Processing course taught by Professor Ghassemi
  ☆183Updated 4 years ago
• youssefHosni / Hands-On-Time-Series-Analysis-with-Python
  Practical guidance for time series analysis in Python
  ☆316Updated 2 months ago
• janlukasschroeder / nlp-cheat-sheet-python
  NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition
  ☆248Updated 2 years ago
• shantanu1109 / Coursera-DeepLearning.AI-Natural-Language-Processing-Specialization
  This Repository Contains Solution to the Assignments of the Natural Language Processing Specialization from Deeplearning.ai on Coursera T…
  ☆80Updated 2 years ago
• dsrub / solutions_to_probability_statistics
  ☆84Updated 4 years ago
• PacktPublishing / Machine-Learning-for-Imbalanced-Data
  Machine Learning for Imbalanced Data, published by Packt
  ☆277Updated last month
• jeffheaton / app_deep_learning
  T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis
  ☆464Updated 2 months ago
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆169Updated last year
• PacktPublishing / Interpretable-Machine-Learning-with-Python
  Interpretable Machine Learning with Python, published by Packt
  ☆474Updated last month
• peteflorence / MachineLearning6.867
  My own notes, implementations, and musings for MIT's graduate course in machine learning, 6.867
  ☆341Updated last year
• rasbt / stat451-machine-learning-fs21
  ☆151Updated 3 years ago
• amanchadha / coursera-natural-language-processing-specialization
  Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
  ☆357Updated 2 years ago
• PacktPublishing / Developing-Kaggle-Notebooks
  ☆141Updated last month
• solegalli / machine-learning-interpretability
  Code repository for the online course Machine Learning Interpretability
  ☆27Updated last year
• PacktPublishing / Machine-Learning-for-Time-Series-with-Python
  Machine Learning for Time-Series with Python.Published by Packt
  ☆297Updated last month
• AmandaZou / master-machine-learning-algorithms
  This is a repository for notes and codes of reading the book --- Jason Brownlee Master Machine Learning Algorithms
  ☆63Updated 5 years ago
• ctanujit / lecture-notes
  ☆108Updated last year
• EdwardRaff / Inside-Deep-Learning
  Inside Deep Learning: The math, the algorithms, the models
  ☆266Updated 2 years ago
• zgana / fpp3-python-readalong
  Python-centered read-along of Forecasting: Principles and Practice
  ☆509Updated 3 weeks ago
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆212Updated last month
• zafstojano / ml-interview-questions-and-answers
  This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.
  ☆173Updated last year
• PacktPublishing / Mastering-NLP-from-Foundations-to-LLMs
  Mastering NLP from Foundations to LLMs, Published by Packt
  ☆113Updated this week