Category Archives: Data Science News

EDA can be automated using a Python library called Pandas Profiling. Let’s explore Pandas profiling to do EDA in a very short time and with just a single line code. Originally from KDnuggets https://ift.tt/3bz63pZ source https://365datascience.weebly.com/the-best-data-science-blog-2020/pandas-profiling-one-line-magical-code-for-eda

Powerful Exploratory Data Analysis in just two lines of code; Cartoon: Data Scientist vs Data Engineer; Evaluating Deep Learning Models: The Confusion Matrix, Accuracy, Precision, and Recall; Feature Store as a Foundation for Machine Learning; Approaching (Almost) Any Machine Learning Problem Originally from KDnuggets https://ift.tt/2Mkby3j source https://365datascience.weebly.com/the-best-data-science-blog-2020/kdnuggets-news-21n08-feb-24-powerful-exploratory-data-analysis-in-just-two-lines-of-code-cartoon-data-scientist-vs-data-engineer

This article discusses performing keyword matching and text analysis on job descriptions. Originally from KDnuggets https://ift.tt/3dJ7uVB source https://365datascience.weebly.com/the-best-data-science-blog-2020/using-nlp-to-improve-your-resume

In the previous post, we scratched at the basics of Deep Learning where we discussed Deep Neural Networks with Keras. As a code along with the example, we looked at the MNIST Handwritten Digits Dataset: You can check out the “The Deep Learning Masterclass: Classify Images with Keras” tutorial to understand it more practically. The courseContinue reading “Convolutional Neural Networks with Keras”

Photo by Possessed Photography on Unsplash Have you ever wondered what goes into a creative mind? Creativity, especially artistic creativity, has long been considered innately human. But to what extent can deep learning be used to produce creative work, and how does it differ from human creativity? As my first attempt in such exploration, I’d likeContinue reading “Generating Music Using LSTM Neural Network”

Correctly applying the hypothesis testing process is extremely essential for drawing out valid A/B testing conclusions. In this post, I have explained the statistical concepts behind conducting a successful A/B test. 1.Laying Down the Hypothesis. A hypothesis is a simple, testable statement that helps compare the two variants. The assumption of a statistical test is calledContinue reading “Statistical Concepts behind A/B Testing”

Data Science is founded on time-honored concepts from statistics and probability theory. Having a strong understanding of the ten ideas and techniques highlighted here is key to your career in the field, and also a favorite topic for concept checks during interviews. Originally from KDnuggets https://ift.tt/2ZFO63J source https://365datascience.weebly.com/the-best-data-science-blog-2020/10-statistical-concepts-you-should-know-for-data-science-interviews

Using schema and lineage to understand the root cause of your data anomalies. Originally from KDnuggets https://ift.tt/3dBjrg4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/data-observability-part-ii-how-to-build-your-own-data-quality-monitors-using-sql

Also: Telling a Great Data Story: A Visualization Decision Tree; Cartoon: Data Scientist vs Data Engineer; Data Science vs Business Intelligence, Explained; Approaching (Almost) Any Machine Learning Problem Originally from KDnuggets https://ift.tt/3pRzBod source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-stories-feb-15-21-we-dont-need-data-scientists-we-need-data-engineers

Synthetic data can be used to test new products and services, validate models, or test performances because it mimics the statistical property of production data. Today you’ll find different types of structured and unstructured synthetic data. Originally from KDnuggets https://ift.tt/3sfxz2C source https://365datascience.weebly.com/the-best-data-science-blog-2020/an-overview-of-synthetic-data-types-and-generation-methods