Alternatives and similar repositories for interviewqs.com_code_snippets

Users that are interested in interviewqs.com_code_snippets are comparing it to the libraries listed below

• dimgold / ETL_with_Python
  ETL with Python - Taught at DWH course 2017 (TAU)
  ☆103Updated 8 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆39Updated 2 years ago
• OrysyaStus / UCSD_Data_Science_and_Engineering
  In the Data Science and Engineering program, engineering professionals combine the skills of software programmer, database manager, and s…
  ☆28Updated 8 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 3 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• TomAugspurger / pandas-head-to-tail
  ☆87Updated 7 years ago
• kjam / data-cleaning-101
  Data Cleaning Libraries with Python
  ☆288Updated 2 years ago
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆50Updated 7 years ago
• ethen8181 / Business-Analytics
  Data Analytics, Statistics, Visualization (R / Python)
  ☆94Updated 8 years ago
• PacktWorkshops / The-Applied-SQL-Data-Analytics-Workshop
  A Quick, Interactive Approach to Learning Analytics with SQL
  ☆76Updated last week
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆105Updated 3 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆121Updated 5 years ago
• bgweber / DS_Production
  ☆155Updated 5 years ago
• amueller / ml-workshop-2-of-4
  Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
  ☆128Updated 4 years ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆67Updated 6 years ago
• Startupsci / data-science-notebooks
  Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.
  ☆37Updated 5 years ago
• tdpetrou / pandas_cub
  Learn how to build a data analysis library from scratch
  ☆208Updated 3 years ago
• mtpa / mds
  Marketing Data Science
  ☆59Updated 10 years ago
• TrainingByPackt / Data-Wrangling-with-Python
  Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices
  ☆131Updated 4 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 6 years ago
• jmportilla / Statistics-Notes
  iPython NOtebooks on Stats
  ☆165Updated last year
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆143Updated 5 years ago
• justmarkham / awesome-datascience
  An awesome Data Science repository to learn and apply for real world problems.
  ☆60Updated 9 years ago
• Acrotrend / Awesome-Customer-Analytics
  A curated list of awesome customer analytics content
  ☆98Updated 7 years ago
• treselle-systems / customer_churn_analysis
  In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…
  ☆61Updated 2 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆163Updated 5 years ago
• susanli2016 / Data-Analysis-with-Python
  Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling
  ☆31Updated 6 years ago
• AileenNielsen / OReillyHealthcareData
  ☆39Updated 8 years ago
• rileypredum / marketing_analytics_sql
  Analyzing and calculating key marketing metrics with SQL and Python
  ☆14Updated 6 years ago
• tdpetrou / Book-Reviews
  ☆26Updated 7 years ago