project-use-case build-numpy-regression-models 
Knowledge Hut
DECEMBER 26, 2023
Owing to its simple syntax and ease of use, Python for Data Science is the go-to option for both freshers and working professionals. Python also finds its use in academic research and building statistical models adding to its versatility. This can be used to create any kind of graph and plot.
Scott Logic
JANUARY 9, 2024
is a deep learning Python library that is primarily used for adding higher-level functionality in standard deep learning domains. online course (Part 1 & Part 2) provide a good introduction to a wide spectrum of machine/deep learning techniques and models along with the Python libraries involved in their implementation.
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Knowledge Hut
JANUARY 12, 2024
It is used as a pre-processing step in Machine Learning and applications of pattern classification. The goal of LDA is to project the features in higher dimensional space onto a lower-dimensional space in order to avoid the curse of dimensionality and also reduce resources and dimensional costs. However, you can use LDA to plot it.
DareData
DECEMBER 16, 2023
Tensors are the backbone of deep learning models so naturally we can use them to fit simpler machine learning models to our datasets. In this blog post, we’re going to continue with the PyTorch introduction series by checking how we can develop a simple linear regression using the torch library. Let’s start!
Towards Data Science
MARCH 9, 2023
Filling the missing values, one hot encoding for the categorical features, standardization and scaling for the numeric ones, feature extraction, and model fitting are just some of the stages that take part during a machine learning project before making any predictions.
Knowledge Hut
OCTOBER 27, 2023
Apart from reading the literature, the great way to maximize your experience is to on data science projects with python , R, and other tools. These projects will not only upscale you and will also make your resume more remarkable. On an unclean and disorganised dataset, it is impossible to build an effective and solid model.
Knowledge Hut
MAY 2, 2024
Spark also has out of the box support for Machine learning and Graph processing using components called MLlib and GraphX respectively. Spark also has support for streaming data using Spark Streaming. Though the majority of use cases of Spark uses HDFS as the underlying data file storage layer, it is not mandatory to use HDFS.
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