Alternatives and similar repositories for RL_basics

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

• tirthajyoti / TensorFlow_Basics
  Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course …
  ☆35Updated 6 years ago
• vyashemang / flask-salary-predictor
  This is project predicts the salary of the employ based on the experience.
  ☆92Updated 4 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆107Updated 3 years ago
• ritchieng / machine-learning-nanodegree
  Codes, notes and guides on Udacity's machine learning nanodegree.
  ☆82Updated 9 years ago
• ritchieng / machine-learning-dataschool
  Detailed notes and code to learn the basics of machine learning with scikit-learn.
  ☆36Updated 9 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• SharmaNatasha / Machine-Learning-using-Python
  Open Machine learning Projects
  ☆97Updated 2 years ago
• Starignus / AppliedML_Python_Coursera
  Material and note of the course of Applied ML in Python
  ☆116Updated 3 years ago
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆65Updated 5 years ago
• susanli2016 / PyCon-Canada-2019-NLP-Tutorial
  ☆56Updated 6 years ago
• knathanieltucker / deep-learning-building-blocks
  ☆33Updated 3 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆96Updated last year
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆20Updated 3 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆143Updated 7 years ago
• dipanjanS / nlp_workshop_dhs18
  Contains code and presentation for our full day workshop, 'Getting Started with Natural Language Processing'. This is created for the pur…
  ☆66Updated 7 years ago
• dipanjanS / data_science_for_all
  Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone
  ☆212Updated 6 years ago
• aprilypchen / depy2016
  ☆110Updated 9 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆72Updated 5 years ago
• xxsacxx / ML_algos
  Repo will try to cover all the most frequently used ML algos with proper explanation and examples
  ☆10Updated 6 years ago
• rajat5ranjan / AV-LTFS-Data-Science-FinHack-ML-Hackathon
  L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya
  ☆55Updated 6 years ago
• jalajthanaki / DataScience_Interview_Seminar
  This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview
  ☆40Updated 7 years ago
• PacktPublishing / Hands-On-Data-Science-and-Python-Machine-Learning
  Hands-On Data Science and Python Machine Learning, published by Packt
  ☆147Updated 3 years ago
• tirthajyoti / ML-apps-with-Streamlit
  Building simple ML apps with Streamlit
  ☆24Updated 4 years ago
• susanli2016 / Data-Analysis-with-Python
  Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling
  ☆32Updated 6 years ago
• gururajang / Notebooks_SparkML
  ☆27Updated 5 years ago
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆53Updated 9 years ago
• trangel / stats-with-python
  Learning statistics with Python
  ☆53Updated 5 years ago
• FavioVazquez / kaggle-learning
  Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).
  ☆156Updated 8 years ago