Alternatives and similar repositories for 10-Simple-hacks-to-speed-up-your-Data-Analysis-in-Python

Users that are interested in 10-Simple-hacks-to-speed-up-your-Data-Analysis-in-Python are comparing it to the libraries listed below

• susanli2016 / PyCon-Canada-2019-NLP-Tutorial
  ☆56Updated 6 years ago
• vivek2319 / Data-Science-From-Linkedin
  This repository focuses on saving my linkedin articles and stuff that I find "USEFUL" on LinkedIn.
  ☆155Updated 2 years ago
• srivatsan88 / TPOT
  TPOT Sample
  ☆28Updated 6 years ago
• ashishpatel26 / Last-Minute-Notes-of-Machine-learning-and-Deep-learning
  Last Minute Note of Machine learning and Deep learning by Jason Brownlee
  ☆92Updated 6 years ago
• srivatsan88 / YouTubeLI
  Github repo to upload demo files of youtube videos and linkedin
  ☆340Updated 4 years ago
• shravankoninti / AV
  Analytics Vidhya Hackathons and Others
  ☆26Updated 5 years ago
• SudalaiRajkumar / DHS2019_HackSession_NLP
  Codes used for the hack session in DHS 2019
  ☆53Updated 6 years ago
• SudalaiRajkumar / ML
  Codes related to various ML Hackathons
  ☆211Updated 6 years ago
• srivatsan88 / model-deployment
  This playlist covers model deployment covered as part of course in YouTube - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5PlN1jwOB3…
  ☆99Updated 4 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
• dipanjanS / nlp_essentials
  Essential and Fundametal aspects of Natural Language Processing with hands-on examples and case-studies
  ☆172Updated 5 years ago
• Abhishekmamidi123 / 100DaysOfMLCode
  Learning Machine Learning and showcasing my work for 100 Days.
  ☆15Updated 7 years ago
• pawangeek / Competitions-ML
  My competitions approach
  ☆18Updated 3 years ago
• AnilBetta / AV-JOB-A-THON
  Rank-2 Solution
  ☆23Updated 4 years ago
• dipanjanS / deep_transfer_learning_nlp_dhs2019
  Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019
  ☆82Updated 6 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
• SharmaNatasha / Machine-Learning-using-Python
  Open Machine learning Projects
  ☆97Updated 2 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
  ☆211Updated 6 years ago
• prodillo / Machine-Learning-Resources
  ☆105Updated 5 years ago
• pranjalchaubey / Deep-Learning-Notes
  My personal notes, presentations, and notebooks on everything Deep Learning.
  ☆226Updated 5 years ago
• samacker77 / Zero-to-Hero-in-NLP
  This repository contains A-Z techniques of Natural Language Processing to get started in NLP.
  ☆64Updated 5 years ago
• iAyon / DataHackSummit2019
  Resources of Data Hack Summit 2019
  ☆69Updated 5 years ago
• piyushpathak03 / Automated-Machine-Learning
  All AutoML Libraries
  ☆108Updated 4 years ago
• lksfr / credit_card_fraud
  This repository includes the code used in my corresponding Medium post.
  ☆92Updated 6 years ago
• abhishekkrthakur / mlframework
  ☆202Updated last year
• dipanjanS / tensorflow2-crash-course
  A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API
  ☆227Updated 4 years ago
• chayankathuria / LinkedIn-Daily-Posts
  This is a curated list of all my posts on LinkedIn regarding Data Science, which I publish daily.
  ☆34Updated 5 years ago
• MaartenGr / Projects
  Data Science Portfolio
  ☆74Updated 5 years ago
• rajat5ranjan / Machine-Hack
  MachineHack is an online platform for Machine Learning competitions. We host toughest business problems that can now find solutions in Ma…
  ☆19Updated 2 years ago
• Jcharis / DataScienceTools
  Useful Data Science and Machine Learning Tools,Libraries and Packages
  ☆237Updated last year