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these days, the business marketplace is motivated by tons of datathus, there will be more data science matches down the roadno doubt, data is an essential perspective of all industries as data gives plenty of helpful details that assist businesses to make helpful decisions
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in colleges, students discover it hard to receive individual attention
note: the content published in this post is claimed to be original and belongs to the authorit is due to each student being special and having a different appreciation of things
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best platform to learn data science, is a field that can be learned by anyone with the right resources and dedication, and there are many online courses, books, and tutorials available to help individuals learn the necessary skills and one of the best platform to learn data science is talentservedata science is used in various industries, including finance, healthcare, marketing, and technology, to solve problems such as fraud detection, risk management, and predictive maintenanceemployment in the field of data science is projected to grow by 11% from 2019 to 2029, which is much faster than the average for all occupations, due to the increasing demand for data-driven insights in various industriesorganizations can reduce costs and gain a competitive advantage by optimizing their operations and providing better customer experiencefor more, details visit our site:https://wwwit also improves efficiency by automating tasks and streamlining processesorg/course-datascience
course content
introduction to python
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numpy
data visualization
pandas
exceptions and errors
introduction to artificial intelligence and machine learning
data wrangling and manipulation
supervised learning
supervised learning-classification
unsupervised learning
machine learning pipeline building
decision tree analysis and ensemble learning
ai and deep learning introduction
artificial neural network
deep neural network & tools
deep neural net optimization, tuning, interpretability
convolutional neural net
recurrent neural networks
overfit and underfit
transfer learning
working with generative adversarial networks
pytorch
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