AI News, What are some interesting things to do with Python? I want to make something related to big data or machine learning.
- On Wednesday, June 6, 2018
- By Read More
What are some interesting things to do with Python? I want to make something related to big data or machine learning.
This project is awesome for 3 main reasons: First, you’ll build intuition for model-to-problem fit.
In the real world, it’s often difficult to know which model will perform best without simply trying them.
For example, you’ll get to practice… Because you’ll use out-of-the-box models, you’ll have the chance to focus on honing these critical steps.
They built a competitive squad while spending only 1/3 of what large market teams like the Yankees were paying for salaries.
You can find prices, fundamentals, global macroeconomic indicators, volatility indices, etc… the list goes on and on.
You can easily get time series data by day (or even minute) for each company, which allows you think creatively about trading strategies.
Some examples of beginner-friendly machine learning projects you could try include… Obvious disclaimer: Building trading models to practice machine learning is simple.
They’ve led to major advances in image recognition, automatic text generation, and even in self-driving cars.
It contains 500 thousand emails between 150 former Enron employees, mostly senior executives.
For example, try extending a vanilla logistic regression algorithm into a lasso/ridge regression by adding regularization parameters.
Finally, here’s a tip every beginner should know: Don’t be discouraged is your algorithm is not as fast or fancy as those in existing packages.
Mine Social Media Sentiment Social media has almost become synonymous with “big data” due to the sheer amount of user-generated content.
Mining this rich data can prove unprecedented ways to keep a pulse on opinions, trends, and public sentiment.
With Twitter data, you get an interesting blend of data (tweet contents) and meta-data (location, hashtags, users, re-tweets, etc.) that open up nearly endless paths for analysis.
Improve Health Care Another industry that’s undergoing rapid changes thanks to machine learning is global health and health care.
As a result, there has recently been significant effort to alleviate doctors’ workload and improve the overall efficiency of the health care system with the help of machine learning.
Uses cases include: As hospitals continue to modernize patient records and as we collect more granular health data, there will be an influx of low-hanging fruit opportunities for data scientists to make a difference.
- On Tuesday, January 22, 2019
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