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Top Posts September 26 – October 2: Free Algorithms in Python Course
Free Algorithms in Python Course • How to Select Rows and Columns in Pandas • Lessons from a Senior Data Scientist • A Day in the Life of a Data Scientist: Expert vs. Beginner • 7 Machine Learning Portfolio Projects to Boost the Resume
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Beginner Friendly Python Projects That Are Fun!
Projects like this are not only beginner friendly, but they add a little bit of fun to your studies or career.
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Top Free Git GUI Clients for Beginners
Learn about beginner-friendly Git GUI clients and perform Git-based tasks using an interactive user interface.
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Handling Missing Values in Time-series with SQL
This article is about a specific use-case that comes up often when dealing with time-series data.
By Josh Berry, Leads Customer Facing Data Science at Rasgo on September 30, 2022 in SQL
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Are the Efforts of People Analytics Worth the Outcome?
Learn about the connection between people analytics and creating diversity, equity, and inclusion (DEI) accountability.
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7 Steps to Mastering Machine Learning with Python in 2022
Are you trying to teach yourself machine learning from scratch, but aren’t sure where to start? I will attempt to condense all the resources I’ve used over the years into 7 steps that you can follow to teach yourself machine learning.
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Master Transformers with This Free Stanford Course!
If you want a deep dive on transformers, this Stanford course has made its courseware freely available, including lecture videos, readings, assignments, and more.
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8 Ways to Improve Your Search Application this Week
There are many places to start improving and optimizing and it’s easy to get bogged down. The good news is that there are several easy ways to improve your search application’s quality and performance.
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Beyond Pipelines: Graphs as Scikit-Learn Metaestimators
Create manageable and scalable machine learning workflows with skdag.
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SQL LIKE Operator Examples
Search for the specific patterns in the SQL table using LIKE and wildcards.
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Getting Started with Pandas Cheatsheet
The latest KDnuggets cheatsheet aims to get you up to speed with introductory Pandas operations, and provide a handy reference as you work with the library. Check it out if you're interested in a quick start.
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Welcome to TensorFlow!
TensorFlow in Action teaches you to construct, train, and deploy deep learning models using TensorFlow 2. In this practical tutorial, you’ll build reusable skills hands-on as you create production-ready applications.
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Top 5 Machine Learning Practices Recommended by Experts
This article is intended to help beginners improve their model structure by listing the best practices recommended by machine learning experts.
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KDnuggets News, September 28: Free Algorithms in Python Course • Lessons from a Senior Data Scientist
Free Algorithms in Python Course • Lessons from a Senior Data Scientist • The Absolute Basics of MLOps • Data Analyst Skills You Need for Your Next Promotion • Dimensionality Reduction Techniques in Data Science
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Top Posts September 19-25: 7 Machine Learning Portfolio Projects to Boost the Resume
7 Machine Learning Portfolio Projects to Boost the Resume • How to Select Rows and Columns in Pandas Using [ ], .loc, iloc, .at and .iat • Decision Tree Algorithm, Explained • Free SQL and Database Course • 5 Tricky SQL Queries Solved
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Free Serverless ML Course with Python
Build Batch and Real-Time Prediction Services with Python.
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How to Correctly Select a Sample From a Huge Dataset in Machine Learning
We explain how choosing a small, representative dataset from a large population can improve model training reliability.
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Become an AI Artist Using Phraser and Stable Diffusion
Generate the prompt using Phraser and create realistic art using the Diffusion model.
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Which is Best: Data Science Bootcamp vs Degree vs Online Course
Let’s break down each of the three options: the pros, the cons, the cost, and what you can expect to get out of them in the end.
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Lessons from a Senior Data Scientist
The aim of this article was for me to gain a deeper insight into the life of a senior data scientist and how their experience can be used as lessons for up-and-coming data scientists.
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5 Python Interview Questions & Answers
The Python coding questions challenge your problem-solving and programming skills.
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Free Algorithms in Python Course
Algorithms are an often misunderstood concept. Leverage Python to learn what algorithms really are, and how to implement an array of basic computational algorithms in the language.
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The Machine Learning Lifecycle
Learn about the standard process for building sustainable machine learning applications.
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Be prepared to manage the threat with an MS in Cybersecurity from Bay Path University
Bay Path’s Master’s in Cybersecurity prepares students to step into the workforce and assume immediate responsibility for the management and oversight of such systems.
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Dimensionality Reduction Techniques in Data Science
Dimensionality reduction techniques are basically a part of the data pre-processing step, performed before training the model.
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The Absolute Basics of MLOps
This article is for people who don’t know a thing about MLOps or want to refresh their memory.
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IMPACT 2022: The Data Observability Summit, on Oct. 25-26
In just one month, IMPACT 2022 will bring together the most insightful minds in data. Register for The Data Observability Summit now!
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Free Microsoft Excel for Beginners Course
Are you ready to learn Excel from the beginning? In this course, you will learn data entry, essential formulas, data visualization, pivot tables, and much more.
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Build a Text-to-Speech Converter with Python in 5 Minutes
I have chosen to go through how to build a text-to-speech converter in Python, not only is it simple, but it is also fun and interactive. I will show you two ways you can do it with Python.
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KDnuggets News, September 21: 7 Machine Learning Portfolio Projects to Boost the Resume • Free SQL and Database Course
7 Machine Learning Portfolio Projects to Boost the Resume • Free SQL and Database Course • Top 5 Bookmarks Every Data Analyst Should Have • 7 Steps to Mastering Python for Data Science • 5 Concepts You Should Know About Gradient Descent and Cost Function
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Learn How Different Data Visualizations Work
Data Literacy Month at DataCamp is in full swing. DataCamp’s three-part series on demystifying data visualizations explores how to capture trends, demonstrate relationships, and explore distributions. Start learning today.
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Data-centric AI and Tabular Data
DALL-E, LaMDA, and GPT-3 all had celebrity moments recently. So, where’s the glamorous, high-performance model that’s mastered tabular data?
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More Performance Evaluation Metrics for Classification Problems You Should Know
When building and optimizing your classification model, measuring how accurately it predicts your expected outcome is crucial. However, this metric alone is never the entire story, as it can still offer misleading results. That's where these additional performance evaluations come into play to help tease out more meaning from your model.
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How To Calculate Algorithm Efficiency
In this article, we will discuss how to calculate algorithm efficiency, focusing on two main ways to measure it and providing an overview of the calculation process.
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Top Posts September 12-18: How to Select Rows and Columns in Pandas
How to Select Rows and Columns in Pandas Using [ ], .loc, iloc, .at and .iat • Free Python for Data Science Course • 5 Data Science Skills That Pay & 5 That Don't • 7 Data Analytics Interview Questions & Answers • 5 Tricky SQL Queries Solved
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AWS AI & ML Scholarship Program Overview
This scholarship program aims to help people who are underserved and that were underrepresented during high school and college - to then help them learn the foundations and concepts of Machine Learning and build a careers in AI and ML.
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7 Machine Learning Portfolio Projects to Boost the Resume
Work on machine learning and deep learning portfolio projects to learn new skills and improve your chance of getting hired.
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KDnuggets Top Posts for August 2022: Free AI for Beginners Course
Free AI for Beginners Course • How to Perform Motion Detection Using Python • The Complete Data Science Study Roadmap • Free Python Project Coding Course • The Complete Collection of Data Science Projects • Most In-demand Artificial Intelligence Skills • 3 Free Statistics Courses for Data Science
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5 Concepts You Should Know About Gradient Descent and Cost Function
Why is Gradient Descent so important in Machine Learning? Learn more about this iterative optimization algorithm and how it is used to minimize a loss function.
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Top 5 Bookmarks Every Data Analyst Should Have
Check out these online tools to save you time & effort.
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Simplifying Decision Tree Interpretability with Python & Scikit-learn
This post will look at a few different ways of attempting to simplify decision tree representation and, ultimately, interpretability. All code is in Python, with Scikit-learn being used for the decision tree modeling.
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TransformX by Scale AI is Oct 19-21: Register for free!
TransformX by Scale AI is happening on October 19th - 21st. Don't miss this opportunity to learn from leading AI and ML experts across industries. Registration is free and the conference is virtual with one day in-person at SF Jazz.
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How Data Science Fuels Fraud Prevention
By themselves, these data points will probably not provide much insight into a single customer. However, a company that has some or all of this information is well-positioned to have a strong idea of how legitimate its visitors are.
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An Intuitive Explanation of Collaborative Filtering
The post introduces one of the most popular recommendation algorithms, i.e., collaborative filtering. It focuses on building an intuitive understanding of the algorithm illustrated with the help of an example.
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Free SQL and Database Course
Get up to speed on SQL and relational databases with this free video course.
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Top Open Source Large Language Models
In this article, we will discuss the importance of large language models and suggest some of the top open source models and the NLP tasks they can be used for.
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7 Steps to Mastering Python for Data Science
Here’s how you can learn to code in Python from scratch in 7 easy steps.
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Why Organizations Need Data Warehouses
So where can you store, harness and collect findings in your data - in one place? What is the right tool for this? Data Warehouses
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KDnuggets News, September 14: Free Python for Data Science Course • Everything You’ve Ever Wanted to Know About Machine Learning
Free Python for Data Science Course • Everything You’ve Ever Wanted to Know About Machine Learning • Progress Bars in Python with tqdm for Fun and Profit • 7 Tips for Python Beginners • 7 Data Analytics Interview Questions & Answers
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KDnuggets Applied Data Science Survey
We want to know where you applied data science in the past 12 months.
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ModelOps: What you need to know to get certified
Find out why ModelOps is in-demand and how SAS can help you propel in this growing area.
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Find a Picture in an Image Without Marking it Up
Let's take a closer look at our algorithm so that you can test it with a notebook in Google Colaboratory and even implement it in your project.
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Using Generative Models for Creativity
This article will discuss a few different types of creative machine learning categories and examples of each.
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5 Data Science Skills That Pay & 5 That Don’t
This article will go over the top 5 data science skills that pay you and 5 that don’t.
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Top Posts August 29 – September 11: Free Python for Data Science Course
Free Python for Data Science Course • How to Select Rows and Columns in Pandas Using [ ], .loc, iloc, .at and .iat • Everything You've Ever Wanted to Know About Machine Learning • 7 Tips for Python Beginners • 5 Tricky SQL Queries Solved
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Removing Outliers Using Standard Deviation in Python
Standard Deviation is one of the most underrated statistical tools out there. It’s an extremely useful metric that most people know how to calculate but very few know how to use effectively.
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7 Data Analytics Interview Questions & Answers
Most asked non-technical, operational, and SQL interview questions for data analytics jobs.
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Everything You’ve Ever Wanted to Know About Machine Learning
Putting the fun in fundamentals! A collection of short videos to amuse beginners and experts alike.
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All About Collections in Python
In this tutorial, we would be exploring different types of containers implemented by the collections module.
By Priya Sengar, Data Scientist with Old Dominion University on September 9, 2022 in Python
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How To Tackle 3 Common Machine Learning Challenges
As you begin developing your ML models, here are the common challenges you might encounter during your project.
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Everything You Need to Know About Data Lakehouses
Learn everything you need to know about data lakehouses.
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Join Data Literacy Month 2022
This September, DataCamp are dedicating an entire month to supporting individuals and organizations to drive data literacy as part of their mission to democratize data skills for everyone.
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Machine Learning Algorithms – What, Why, and How?
This post explains why and when you need machine learning and concludes by listing the key considerations for choosing the correct machine learning algorithm.
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Convert Text Documents to a TF-IDF Matrix with tfidfvectorizer
Convert text documents to vectors using TF-IDF vectorizer for topic extraction, clustering, and classification.
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Choosing the Right Clustering Algorithm for Your Dataset
Applying a clustering algorithm is much easier than selecting the best one. Each type offers pros and cons that must be considered if you’re striving for a tidy cluster structure.
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How to build a model to find the most impactful paths in user journeys
In this how-to, we’ll build a model to uncover which paths in user journeys have the biggest impact on product goals (e.g. conversion). You can use it to improve products or optimize marketing campaigns, or as a base for deeper user behavior analyses.
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8 Innovative BERT Knowledge Distillation Papers That Have Changed The Landscape of NLP
All of the papers present a particular point of view of findings in the BERT utilization.
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24 A/B Testing Interview Questions in Data Science Interviews and How to Crack Them
Here’s everything you need to know about A/B testing interview questions in data science interviews.
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Visualizing Your Confusion Matrix in Scikit-learn
Defining model evaluation metrics is crucial in ensuring that the model performs precisely for the purpose it is built. Confusion Matrix is one of the most popular and effective tools to evaluate the performance of the trained ML model. In this post, you will learn how to visualize the confusion matrix and interpret its output.
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SQL vs NoSQL: 7 Key Takeaways
People assume that NoSQL is a counterpart to SQL. Instead, it’s a different type of database designed for use-cases where SQL is not ideal. The differences between the two are many, although some are so crucial that they define both databases at their cores.
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7 Tips for Python Beginners
Learn useful tips to start your career as a Python developer.
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