6 Open Source Machine Learning Frameworks and Tools
Open Source tools are an excellent choice for getting started with Machine learning. This article covers some of the top ML frameworks and tools.
Machine Learning is a scientific discipline which focuses on automatically recognizing complex patterns and making intelligent decisions based on available data. This branch of study develops algorithms for computers to evolve behaviors for the same. If your business needs help with machine learning algorithms, you have come to the right place. You can hire expert freelancers with machine learning experience right here. Simply post your job today!
Hire Machine Learning ExpertsPython Coding CONTEST on stock price binary classification. INPUT: A Pandas DataFrame containing a stock's open-close-high-low prices and volume info. See the link to see some examples. TASK DESCRIPTION: Implement a strategy to predict "good" BUY signals. To know what's a "good" BUY signal, take a look at the boolean True values of the dataframes "class" column or just observe the red dots of the attached sample chart to get a rough idea. Note: For the sake of simplicity, no SELL signal exists, making it a binary classification problem. Note: it's up to you to choose the solving approach (Machine Learning? Simple statistical rules? Basic algorithms?). No requirement exists for this choice. Link:
Open Source tools are an excellent choice for getting started with Machine learning. This article covers some of the top ML frameworks and tools.
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