Data Science Evaluation Metrics — Unravel Algorithms
Last Updated on December 14, 2020 by Editorial Team Author(s): Maximilian Stäbler Photo by Luke Chesser on Unsplash Lessons learned about evaluation metrics for classification tasks. If you do not know how to ask the right question, you discover nothing. – W. Edwards Deming …
How to add Julia to Jupyter Notebook
Author(s): Chetan Ambi Take your first steps towards Julia for Machine Learning Continue reading on Towards AI » Published via Towards AI …
This 3 Step Approach Can Transform Your Data Science Journey
Author(s): Arunn Thevapalan To be honest, I don’t know any other way. Continue reading on Towards AI » Published via Towards AI …
Know What Employers are expecting for a Data Scientist Role
The analysis is done from 1000+ recent Data scientist jobs, extracted from job portals using web scraping. Author(s): Shareef Shaik Recently, I actively started looking for a job change to Data science, and I don’t have any formal education like a Master’s or …
Efficient Pandas: Using Chunksize for Large Datasets
Author(s): Lawrence Alaso Krukrubo Exploring large data sets efficiently using Pandas Data Science professionals often encounter very large data sets with hundreds of dimensions and millions of observations. There are multiple ways to handle large data sets. We all know about the distributed file …
Brief Introduction to Model Drift in Machine Learning
Author(s): Chetan Ambi What is model drift, different types, how to detect model drift, and how to tackle it Continue reading on Towards AI » Published via Towards AI …
Big-Data Pipelines with SparkML
Author(s): Lawrence Alaso Krukrubo Data Analysis, Data Science, Machine Learning Creating Apache Spark ML Pipelines for Big-Data Analysis Photo by Rodion Kutsaev on Unsplash Pipelines are a simple way to keep your data preprocessing and modeling code organized. Specifically, a pipeline bundles preprocessing and modeling …
Explain Your Machine Learning Predictions With Kernel SHAP (Kernel Explainer)
Author(s): Chetan Ambi How to interpret your machine learning predictions with Kernel Explainer using SHAP library Continue reading on Towards AI » Published via Towards AI …
5 Tricks to Improve Bar Graphs: Matplotlib
Last Updated on December 3, 2020 by Editorial Team Author(s): Manmohan Singh Data Science Learn to build a clean and interesting Bar Graph using various Matplotlib functionality Source : Brett Zeck The bar graph is a widely used chart in data science. Charts help …
Dear Hiring Manager, Please Stop Using Take-Home Assignments!
Author(s): Marie Stephen Leo Opinion on what you could use in data science/analyst interviews instead. Continue reading on Towards AI » …
The Python Record Linkage Toolkit
Author(s): Chetan Ambi A library to link records between data sources Continue reading on Towards AI » …
How I Started Tracking My ML Experiments Like a Pro
Author(s): Arunn Thevapalan Only if I can gain back all the time I’ve wasted on Excel sheets. Continue reading on Towards AI » Published via Towards AI …
5 Tricky SQL Queries Solved — Part II
Author(s): Saiteja Kura It’s time to raise the bar. Let us try to solve more complex SQL queries. Continue reading on Towards AI » Published via Towards AI …
Human Component in Machine Learning
Author(s): Benjamin Obi Tayo Ph.D. With automation in machine learning, humans are still indispensable to make the connection between data, algorithm, and the real world Continue reading on Towards AI » Published via Towards AI …
Demand for Data Skills has Skyrocketed
Author(s): Benjamin Obi Tayo Ph.D. Top data skills you need in today’s data-driven world and how to acquire them Continue reading on Towards AI » Published via Towards AI …
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