Alternatives and similar repositories for stanford-statistical-learning:

Users that are interested in stanford-statistical-learning are comparing it to the libraries listed below

• dipanjanS / feature_engineering_session_dhs18
  Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better …
  ☆30Updated 4 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 5 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
  ☆41Updated 6 years ago
• FavioVazquez / kaggle-learning
  Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).
  ☆149Updated 6 years ago
• Dataweekends / exploratory_data_analysis
  Few tutorials on pandas, matplotlib and seaborn
  ☆26Updated 8 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…
  ☆65Updated 6 years ago
• susanli2016 / Data-Analysis-with-Python
  Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling
  ☆31Updated 5 years ago
• ritchieng / machine-learning-dataschool
  Detailed notes and code to learn the basics of machine learning with scikit-learn.
  ☆34Updated 8 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
• susanli2016 / Natural-Language-Processing-in-TensorFlow
  ☆17Updated 5 years ago
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆49Updated 6 years ago
• Apress / python-data-analytics
  Source code for 'Python Data Analytics' by Fabio Nelli
  ☆19Updated 7 years ago
• jalajthanaki / Get_Jobs_in_Data_Science
  Introduction and Career Guide for Data Science enthusiasts
  ☆9Updated 6 years ago
• rsibi / Springboard
  Springboard - Data Science Intensive course
  ☆13Updated 7 years ago
• datacamp / datacamp_facebook_live_ny_resolution
  In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym'…
  ☆44Updated 7 years ago
• luciasantamaria / pandas-tutorial
  Teaching materials for pandas and scikit-learn
  ☆18Updated 8 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 6 years ago
• ritchieng / machine-learning-nanodegree
  Codes, notes and guides on Udacity's machine learning nanodegree.
  ☆83Updated 8 years ago
• SudalaiRajkumar / TensorFlow-Book
  Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
  ☆15Updated 8 years ago
• ljanastas / UC_Berkeley-Applied-Machine-Learning
  Materials for Applied Machine Learning Taught in Python
  ☆36Updated 2 years ago
• paiml / python_for_datascience
  [Video]Colab Notebooks for Python for Data Science by Pearson
  ☆40Updated last week
• WillKoehrsen / Udacity-Data-Analyst-Nanodegree
  All Code and resources for the Udacity Data Analyst Nanodegree
  ☆37Updated 7 years ago
• cs109 / 2018-cs109a
  Official Public site for CS109a Fall 2018
  ☆34Updated 6 years ago
• rileypredum / mall_customer_segmentation
  Quick EDA on a data set to determine what segments there are.
  ☆31Updated 5 years ago
• rajatgarg149 / BigData-Essentials-HDFS-SPARK-RDD
  ☆14Updated 5 years ago
• FavioVazquez / ODSC_India_2018
  My presentation at ODSC India 2018 about Deep Learning with Apache Spark
  ☆27Updated 6 years ago
• tirthajyoti / ML-apps-with-Streamlit
  Building simple ML apps with Streamlit
  ☆24Updated 3 years ago