Diagnosing prostate cancer with ML — 1st place solution for Kaggle’s prostate cancer challenge
Author(s): Mostafa Ibrahim Check out the AI solution for Kaggle’s 25,000$ competition for diagnosing prostate cancer Continue reading on Towards AI » Published via Towards AI …
Fundamentals of series and Data Frame in Pandas with python
Author(s): Amit Chauhan Basics of common use parameters in a data frame Continue reading on Towards AI » Published via Towards AI …
Two Productivity Secrets from Elon Musk that can Help in Data Science
Author(s): Benjamin Obi Tayo Ph.D. First Principles and the Feedback Loop are two productivity secrets used by Elon Musk for success and could be applicable in data science Continue reading on Towards AI » Published via Towards AI …
Scaling vs. Normalizing Data
Last Updated on January 10, 2021 by Editorial Team Author(s): Lawrence Alaso Krukrubo Data Science Understanding When to Apply One or the Other… free image from pixabay Intro: When it comes to data exploration and model building, there are multiple ways to perform certain …
5 Tips to Effectively Tell a Story as a Data Scientist
Author(s): Saeed Ahmad Data Science Learn how to leverage the right tools to be an effective storyteller Photo by Library of Congress on Unsplash Storytelling has been there for ages. It has helped people to make a better sense of the things happening …
Automate Your Data Science Life for Free on Heroku
Author(s): Mohammad Ahmad How to schedule data tasks to build deployable and scalable applications Continue reading on Towards AI » Published via Towards AI …
30 Mins per Day Effort Can Earn You a Data Science Certificate by the End of 2021
Author(s): Benjamin Obi Tayo Ph.D. Use the first-principle method to increase your odds of success through compounding of daily increment efforts Continue reading on Towards AI » Published via Towards AI …
Become a Data Scientist in 2021 with These Following Steps
Author(s): Amit Chauhan Fundamental points required to be on a path of data scientist Continue reading on Towards AI » Published via Towards AI …
Inferential Statistics for Data Science: Explained
Author(s): Suhas V S Data Science A quick dive into the different aspects of inferential statistics using python. Source: www.luminousmen.com In the earlier part, we have seen how to draw meaningful insights into the characteristics of the sample data (If you have missed …
Random Number Generator Tutorial with Python
Image by the author, generated with Python to illustrate a random number generation in the scatterplot. Why are random numbers crucial in machine learning and data science? How do we build a random number generator for our projects? Author(s): Sujan Shirol, Roberto …
Descriptive Statistics for Data Science: Explained
Author(s): Suhas V S Data Science, Statistics A detailed go through into various aspects of descriptive statistics using python. Photo by Chris Liverani on Unsplash It is often talked about that it is an essential requisite for a data scientist to have the ability …
![Data Science Evaluation Metrics — Unravel Algorithms for Regression [Part 2]](https://i1.wp.com/cdn-images-1.medium.com/max/1024/0*qxxQAIPkAN3VEgpC?w=1024&resize=1024,576&ssl=1 "Data Science Evaluation Metrics — Unravel Algorithms for Regression [Part 2]")
Data Science Evaluation Metrics — Unravel Algorithms for Regression [Part 2]
Author(s): Maximilian Stäbler Data Science Error Formulas Data Science Evaluation Metrics — Unravel Algorithms for Regression [Part 2] Lessons learned about evaluation metrics for classification tasks. Photo by Mika Baumeister on Unsplash Before we get started: This post deals exclusively with evaluation metrics for regressions! I …
Gradient Descent for Machine Learning (ML) 101 with Python Tutorial
Author(s): Towards AI Team A three-dimensional wireframe plot of the unnormalized sin(x) function. | Source: Creative Commons by Wikimedia [1] A tutorial diving into the gradient descent algorithm for machine learning (ML) with Python Author(s): Saniya Parveez, Roberto Iriondo This tutorial’s code is …
20 Core Data Science Concepts for Beginners
Author(s): Benjamin Obi Tayo Ph.D. Review these foundational concepts for a job interview preparation or to refresh your understanding of the basics Continue reading on Towards AI » Published via Towards AI …
PCA Clearly Explained -When, Why, How To Use It and Feature Importance: A Guide in Python
Author(s): Serafeim Loukas In this post I explain what PCA is, when and why to use it and how to implement it in Python using scikit-learn. Continue reading on Towards AI » Published via Towards AI …
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