Alternatives and similar repositories for Approaching-Any-Machine-Learning-Problems

Users that are interested in Approaching-Any-Machine-Learning-Problems are comparing it to the libraries listed below

• PacktPublishing / Hyperparameter-Tuning-with-Python
  Hyperparameter Tuning with Python
  ☆188Updated last month
• georgezoto / TensorFlow-in-Practice
  TensorFlow in Practice Specialization. Join our Deep Learning Adventures community 🎉 and become an expert in Deep Learning, TensorFlow,…
  ☆67Updated 5 years ago
• ThinamXx / 66Days__NaturalLanguageProcessing
  I am sharing my Journey of 66DaysofData in Natural Language Processing.
  ☆189Updated last year
• amanpreetsingh459 / AAAMLP
  Projects from the book "Approaching (Almost) Any Machine Learning Problem". Book github at https://github.com/abhishekkrthakur/approachin…
  ☆35Updated 4 years ago
• PacktPublishing / The-Kaggle-Workbook
  Code Repository for The Kaggle Workbook, Published by Packt
  ☆134Updated last month
• libingallin / handson_ml_2nd
  Note for Aurélien Géron's 2019 book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition"
  ☆50Updated 4 years ago
• PacktPublishing / Advanced-Deep-Learning-with-Python
  Advanced Deep Learning with Python by Packt Publishing
  ☆119Updated 2 years ago
• DustinAlandzes / machine-learning-with-python-cookbook-notes
  (Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form
  ☆288Updated 2 years ago
• PacktPublishing / Mastering-PyTorch
  Mastering PyTorch, published by Packt
  ☆308Updated last month
• solegalli / hyperparameter-optimization
  Code repository for the online course Hyperparameter Optimization for Machine Learning
  ☆128Updated last year
• joe-papa / pytorch-book
  Code included in the book, PyTorch Pocket Reference
  ☆153Updated 4 years ago
• PacktPublishing / Python-Feature-Engineering-Cookbook
  Python Feature Engineering Cookbook, published by Packt
  ☆481Updated 2 years ago
• solegalli / machine-learning-imbalanced-data
  Code repository for the online course Machine Learning with Imbalanced Data
  ☆182Updated 10 months ago
• MrinmoiHossain / Udacity-Deep-Learning-Nanodegree
  The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoen…
  ☆54Updated 3 years ago
• PacktPublishing / Hands-On-Explainable-AI-XAI-with-Python
  Explainable AI with Python, published by Packt
  ☆164Updated last month
• PacktPublishing / Deep-Learning-with-PyTorch-Lightning
  Getting Started with PyTorch Lightning, Published by Packt
  ☆162Updated last month
• ThinamXx / Transformers_NLP
  The repository will contain a list of projects which we will work on while reading the books of Natural Language Processing & Transformer…
  ☆73Updated last year
• veb-101 / Numpy-Pandas-Matplotlib-Tutorial
  Tutorial notebooks on numpy, pandas and matplotlib.
  ☆53Updated 5 years ago
• tirthajyoti / Deep-learning-with-Python
  Deep learning codes and projects using Python
  ☆362Updated 4 years ago
• PacktPublishing / Mastering-Transformers
  Mastering Transformers, published by Packt
  ☆356Updated last month
• srivatsan88 / End-to-End-Time-Series
  This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJ…
  ☆265Updated 2 years ago
• solegalli / feature-selection-for-machine-learning
  Code repository for the online course Feature Selection for Machine Learning
  ☆332Updated 11 months ago
• PacktPublishing / Deep-Learning-with-TensorFlow-2-and-Keras
  Deep Learning with TensorFlow 2 and Keras, published by Packt
  ☆319Updated last year
• moelgendy / deep_learning_for_vision_systems
  This repository accompanies the book "Deep Learning for Vision Systems".
  ☆372Updated 2 years ago
• kennethleungty / MLOps-Specialization-Notes
  Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
  ☆374Updated 2 years ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆246Updated last month
• Brandon-HY-Lin / coursera_How-to-Win-a-Data-Science-Competition-Learn-from-Top-Kagglers
  Labs and Project from the course "How to Win a Data Science Competition: Learn from Top Kagglers"
  ☆148Updated 6 years ago
• rickwierenga / CS229-Python
  Exercises and solutions to Stanford CS229 Machine Learning in Python
  ☆201Updated 2 years ago
• PacktPublishing / The-Kaggle-Book
  Code Repository for The Kaggle Book, Published by Packt Publishing
  ☆2,276Updated last month
• 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