Thinkful-Ed / big-data-student-resourcesLinks
These are the Jupyter notebooks for the Big Data specialization in the Data Science Program.
☆15Updated 5 years ago
Alternatives and similar repositories for big-data-student-resources
Users that are interested in big-data-student-resources are comparing it to the libraries listed below
Sorting:
- Public resources related to Thinkful's data science bootcamp☆58Updated 4 years ago
- ☆26Updated 6 years ago
- ARIMA forecasts on the AirPassengers dataset built in Python and Tableau☆50Updated 7 years ago
- ☆123Updated 2 years ago
- ☆26Updated 4 years ago
- An analysis of 93,000+ data science freelancers☆57Updated 9 years ago
- Data Science for Good Projects☆50Updated 7 years ago
- Marketing Data Science☆59Updated 10 years ago
- A Credit Risk Scoring Modeling and Validation Package☆67Updated 6 years ago
- Slides and code examples for H2O tutorials at various events☆56Updated 8 years ago
- ☆39Updated 8 years ago
- ☆46Updated 8 years ago
- Repository for an online class on Exploratory Data Analysis in Python☆67Updated 6 years ago
- Data Cleaning Libraries with Python☆288Updated 2 years ago
- ☆101Updated 7 years ago
- PyData 2018 tutorial for tidying data☆149Updated 7 years ago
- In the Data Science and Engineering program, engineering professionals combine the skills of software programmer, database manager, and s…☆28Updated 8 years ago
- Calculating Customer Lifetime Value (CLV) with Recency, Frequency, and Monetary (RFM)☆51Updated 5 years ago
- Modeling Techniques in Predictive Analytics with Python and R☆68Updated 10 years ago
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆43Updated 4 years ago
- Tutorial given at PyData LA 2018☆97Updated last year
- ☆91Updated 5 years ago
- Quick EDA on a data set to determine what segments there are.☆31Updated 6 years ago
- Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH☆159Updated 5 years ago
- Intermediate Python for Data Science Workshop☆24Updated last year
- Here we host the lecture notes and problem sets for the "Projektkurs Data Science & Business Analytics" at Ulm University☆18Updated 5 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆49Updated 7 years ago
- Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).☆153Updated 7 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆240Updated 6 months ago
- ☆18Updated 6 years ago