Archives for python for data science - Page 2
Guide To Microsoft’s FLAML
The current data science scenario raises a big question: how and what to select as a machine learning model to predict all best. When selecting, we use conventional ways like hyperparameter tuning, GridSearchCV and Random search to choose the best-fit parameters. These conventional techniques help us a lot, but they are time-consuming, take high computation…
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We have already covered the PyTorch loss functions implementations in our previous article, now we are heading forward to the other libraries that have been used more widely than PyTorch, today we are going to discuss the loss functions supported by the Tensorflow library, there are almost 15 different kinds of loss functions supported by…
The post Ultimate Guide To Loss functions In Tensorflow Keras API With Python Implementation appeared first on Analytics India Magazine.
TF-IDF is a method which gives us a numerical weightage of words which reflects how important the particular word is to a document in a corpus. A corpus is a collection of documents. Tf is Term frequency, and IDF is Inverse document frequency. This method is often used for information retrieval and text mining.
The post Hands-on implementation of TF-IDF from scratch in Python appeared first on Analytics India Magazine.
TF-IDF is a method which gives us a numerical weightage of words which reflects how important the particular word is to a document in a corpus. A corpus is a collection of documents. Tf is Term frequency, and IDF is Inverse document frequency. This method is often used for information retrieval and text mining.
The post Hands-on implementation of TF-IDF from scratch in Python appeared first on Analytics India Magazine.
‘Technology has a shelf life of a banana’: these are the famous words by Scott McNealy, the co-founder of Sun Microsystems. This is specifically true for SAS, which has been an important software for data scientists around the world for quite some time now. However, with new inventions, many believe that SAS seems to be…
The post Will SAS Continue To Hold Ground In Data Science? appeared first on Analytics India Magazine.
2D synthetic image data generation.
The post Hands-on Guide To Synthetic Image Generation With Flip appeared first on Analytics India Magazine.
India is one of the leading markets for analytics and data science services, and various data science vendors have seen significant growth over the last few years, as organisations across verticals are investing billions of dollars in data science and analytics to optimise their processes. In fact, despite the pandemic and the resulting quarter-long slowdown,…
The post Top Data Science Service Providers In India 2020 appeared first on Analytics India Magazine.