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Cartesian DataSciences Review

3

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Excellent

Revainrating 5 out of 5  
Rating 
5.0
Marketing Services, Marketing Analytics

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Description of Cartesian DataSciences

Cartesian DataSciences is a company that provides advanced analytics services such as predictive models or optimization. Many companies that claim to do analytics are actually using standardized tools to do things like cross tabs or data visualization. By contrast, Cartesian is writing code in Python or R. The company has 200 data scientists doing work under the supervision of PhDs. Tools and methods used in various projects include regression, clustering, Random Forest, Extreme Gradient Boosting (XGB), Markov Chains, genetic algorithms, multi-armed bandits, Pareto/NBD (Negative Binomial Distribution), Support Vector Machine (SVM), collaborative filtering, time series forecasting, and linear programming, among others. Several clients have won marketing awards for work that was done by Cartesian.

Reviews

Global ratings 3
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Type of review

Revainrating 5 out of 5

Very good tool that has helped me and many others do great work

I have been working with this software for over 7 years now across multiple projects at different stages from early research phase through implementation into production systems by my clients who include large financial institutions. They provide excellent support both via phone but also email which makes communication seamless between us all round Europe (I am located near Paris). Their product roadmap always seems very well thought out so it's easy when you're given an opportunity within…

Pros
  • Full suite, native Python stack
  • Multiple data sources easily accessible as tables or Pandas structures in memory based formats
  • Powerful visualisation capabilities using matplotlib library alongside Pygal charting libraries.
  • Extensive documentation available online covering most core components / functions that are included.
  • Easy installation under Windows OSX Linux + Docker containersEasy access directly inside Jupy
Cons
  • Not bad

Revainrating 5 out of 5

Comprehensive tool that makes using "big-data " simple

I am currently working at CDS as an Analyst for a project involving fraud detection. My team uses python/pandas extensively to create machine learning pipelines which analyze large amounts of financial transaction data from various sources (both internal and external). This allows us to identify fraudulent activity with high accuracy rates. It's very easy to use and there isn't much you need to know about it before getting started. Creating new features can take some time but once they're…

Pros
  • You don´t even necessarily require knowledge into what your doing while coding just basic experience will get one far enough ahead quickly! Also ,the platform itself has amazing support resources both internally through chatrooms & tutorials online via
Cons
  • Good but not great

Revainrating 5 out of 5

Excellent Machine Learning Consultancy

I have been working with them for over two years now! They've always taken great care when it comes time to implement my ideas into their products; they're very responsive whenever there's any question about how something will be built out - we can talk all day long if necessary. It would take me at least half an hour just to explain what features were missing from our product compared to others (and then those features still wouldn't necessarily make sense). When you think your problem could…

Pros
  • The team is extremely friendly
  • High quality data science services that align well within project goalsWe'd recommend C2DMedia as partners in orderto improve user experience while delivering high quality insights via advanced predictive analytics solutions.
  • Their technology stack makes everything easy so even beginner like us are able
Cons
  • There are nuances