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Name: Marcos Florente Ferrer
Type: User
Name: Marcos Florente Ferrer
Type: User
You work for Spark Funds, an asset management company. Spark Funds wants to make investments in a few companies. The CEO of Spark Funds wants to understand the global trends in investments so that she can take the investment decisions effectively.
100 Days of ML Coding
Solving this case study will give you an idea about how real business problems are solved using EDA. In this case study, apart from applying the techniques you have learnt in EDA, you will also develop a basic understanding of risk analytics in banking and financial services and understand how data is used to minimise the risk of losing money while lending to customers.
To reduce customer churn, telecom companies need to predict which customers are at high risk of churn. In this project, you will analyse customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn and identify the main indicators of churn.
In an attempt to scientifically analyse this phenomenon, the NYC Police Department has collected data for parking tickets. Of these, the data files for multiple years are publicly available on Kaggle. We will try and perform some exploratory analysis on a part of this data.
50+ mini web projects using HTML, CSS & JS
Developing a market mix model to observe the actual impact of different marketing variables over the last year. Using the understanding of the model, we have to recommend the optimal budget allocation for different marketing levers for the next year.
Text classification demo from our Next '19 breakout session
Content-Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.
Task tracker app from the 2021 youtube crash course
Artificial Intelligence with Python Cookbook, published by Packt
Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.
A curated list of references for MLOps
A topic-centric list of HQ open datasets.
Binary to Decimal Converter Mobile App With KivyMD
Deploy and scale serverless machine learning app - in 4 steps.
This is a code repository for the corresponding YouTube video. In this tutorial, we are going to build and deploy a real-time chat application. Covered topics: React.js, Socket.io.
Compilation of R and Python programming codes on the Data Professor YouTube channel.
Deep Learning for Coders, 2020, the website
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Code and files to go along with CS329s machine learning model deployment tutorial.
Chest X-ray classification using the CheXpert dataset as part of the final paper for CS598 Deep Learning for Healthcare
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.