Alternatives and similar repositories for PracticalPandas:

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

• nikhilkumarsingh / Basics-of-Python
  Teaching material for basic Python bootcamp
  ☆14Updated 4 years ago
• Dataweekends / python_libraries_for_ml_and_dl
  Introduction to Pandas, Scikit-Learn and Keras
  ☆13Updated 5 years ago
• rileypredum / Kickstarter-Campaign-Success-Prediction
  A machine learning project trying to predict whether or not a Kickstarter campaign succeeds. Final report in PDF as well. Includes origin…
  ☆12Updated 6 years ago
• PacktPublishing / Python-Data-Structures-and-Algorithms-v-
  Code repository for Python Data Structures and Algorithms [video], Published by Packt
  ☆24Updated 4 years ago
• tirthajyoti / TensorFlow_Basics
  Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course …
  ☆36Updated 5 years ago
• tirthajyoti / Stats_data_science_ValleyML
  Notebooks for the ValleyML Bootcamp (Aug 2019) "Statistical methods for data science"
  ☆10Updated 5 years ago
• tirthajyoti / Packt-Data_Wrangling
  Code repo for Packt course I developed, "Beginning Data Wrangling with Python"
  ☆30Updated 4 years ago
• PacktPublishing / Data-Analysis-and-Exploration-with-Pandas
  Data Analysis and Exploration with Pandas, published by Packt
  ☆16Updated 4 years ago
• jakevdp / siglearn
  Tools for machine learning & modeling with noisy data
  ☆10Updated 9 years ago
• abhisheknaiidu / Amazon-Floatify
  Python script, written so that when a desired product hits a lower price than a desired price, then we'll get a push notification! so tha…
  ☆9Updated 4 years ago
• Dataweekends / exploratory_data_analysis
  Few tutorials on pandas, matplotlib and seaborn
  ☆26Updated 8 years ago
• xcitech / ml-flask-tutorial
  A tutorial to create python based prediction web app
  ☆30Updated 4 years ago
• NikTRSK / Data-Science-and-Machine-Learning-with-Python---Hands-On
  Data Science and Machine Learning with Python - Hands On from Udemy
  ☆14Updated 7 years ago
• akshaybhatia10 / Deep-Learning-Mini-Projects
  Repo for Deep Learning Projects in NLP, GANs, Computer Vision
  ☆19Updated 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 6 years ago
• tirthajyoti / Convolutional-Networks
  Various conv nets using TensorFlow, Keras, or other tools
  ☆14Updated 6 years ago
• jaidevd / scipy_pandas_tutorial
  Repository containing notebooks for my Pandas tutorial at SciPy India 2013
  ☆15Updated 5 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 5 years ago
• amueller / water_hackweek_2020_machine_learning
  Water Hackweek Machine Learning workshop
  ☆15Updated 4 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 7 years ago
• sajal2692 / skeleton-notebook
  A skeleton notebook template for supervised machine learning and data science projects.
  ☆13Updated 7 years ago
• justmarkham / data
  Python related videos and metadata powering =>
  ☆11Updated 7 years ago
• ashishpatel26 / 14-days-Beginner-Practical-Guide-of-Machine-Learning
  14 days Beginner Practical Guide of Machine Learning
  ☆56Updated 4 years ago
• tirthajyoti / Algorithm-Data-Structures-Python
  Various useful data structures in Python
  ☆38Updated 5 years ago
• jwasham / lubanovic-python
  Notes from "Introducing Python"
  ☆17Updated 8 years ago
• WillKoehrsen / airbus
  Work related to the Airbus Ship Detection Challenge https://www.kaggle.com/c/airbus-ship-detection
  ☆12Updated 6 years ago
• tirthajyoti / ML-apps-with-Streamlit
  Building simple ML apps with Streamlit
  ☆24Updated 3 years ago
• lazyprogrammer / big_data_class
  ☆10Updated 8 years ago
• DataForScience / Seaborn
  Data Visualization With Seaborn
  ☆10Updated 4 years ago
• dipanjanS / stanford-statistical-learning
  Slides, material and solutions of the popular Statistical Learning course from Stanford's own Hastie & Tibshirani. Join me on my journey …
  ☆15Updated 7 years ago