Author Archives: 365Data Science

Source Roadmap to Data Science In this article, I will give you a complete road map on how to become a Data Scientist with skills like Machine Learning, Deep Learning and Artificial Intelligence. So you probably are thinking that you need a Masters Degree or PhD from a great university to become a Data Scientist. SomehowContinue reading “Roadmap to Data Scientist”

Photo by Nick Morrison on Unsplash Welcome to My Week in AI! Each week this blog will have the following parts: What I have done this week in AI An overview of an exciting and emerging piece of AI research Progress Update Unearthing new tools This week I came across two tools that I wanted to share, as IContinue reading “My Week in AI: Part 8”

I have a machine learning joke, but it is not performing as well on a new audience. We bring you a selection of the nerdy self-referential computer jokes that were popular on the web recently. Originally from KDnuggets https://ift.tt/2PhHa7M source https://365datascience.weebly.com/the-best-data-science-blog-2020/i-have-a-joke-about

Combining different data sources is a time suck! d6tjoin is a python library that lets you join pandas dataframes quickly and efficiently. Originally from KDnuggets https://ift.tt/3fcDDSt source https://365datascience.weebly.com/the-best-data-science-blog-2020/fuzzy-joins-in-python-with-d6tjoin

Source Concept of Regression Analysis for Time Series Data and Detecting Autocorrelation using The Durbin-Watson Test Before start my main topic, I would like to introduce you about Regression Analysis and Time Series Data in shortly. What is Regression Analysis? Regression analysis is a statistical techniques in machine learning, which is most popular and frequently usedContinue reading “Concept of Regression Analysis for Time Series Data and Detecting Autocorrelation using The”

Source In this blog, I’m going to use Diabetes dataset which I got from Kaggle. I’ll be showing you how to analyse the data and apply different Machine Learning Classification Models. So I have used 4 different ML models for predicting Diabetes. RandomForest Random forests or random decision forests are an ensemble learning method forContinue reading “Machine Learning Models for Detecting Diabetes.”

Photo by Kevin Ku on Unsplash Welcome to My Week in AI! Each week this blog will have the following parts: What I have done this week in AI An overview of an exciting and emerging piece of AI research Progress Update Testing for machine-learning code In my work this week at Blueprint Power, I spent a lotContinue reading “My Week in AI: Part 7”

The fact that R-squared shouldn’t be used for deciding if you have an adequate model is counter-intuitive and is rarely explained clearly. This demonstration overviews how R-squared goodness-of-fit works in regression analysis and correlations, while showing why it is not a measure of statistical adequacy, so should not suggest anything about future predictive performance. OriginallyContinue reading “R squared Does Not Measure Predictive Capacity or Statistical Adequacy”

Scaling Machine Learning models is hard and expensive. We will shortly introduce the Google Cloud service Dataflow, and how it can be used to run predictions on millions of images in a serverless way. Originally from KDnuggets https://ift.tt/2D8QDM7 source https://365datascience.weebly.com/the-best-data-science-blog-2020/scaling-computer-vision-models-with-dataflow

Check out this list of awesome, free machine learning and artificial intelligence courses with video lectures. Originally from KDnuggets https://ift.tt/33bsI9d source https://365datascience.weebly.com/the-best-data-science-blog-2020/awesome-machine-learning-and-ai-courses