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  • KDnuggets News, February 1: The ChatGPT Cheat Sheet • An Introduction to Markov Chains

    The ChatGPT Cheat Sheet • An Introduction to Markov Chains • Top 10 Advanced Data Science SQL Interview Questions You Must Know How to Answer • How I Make $3,500 Online Every Month With Data Science • Hyperparameter Optimization: 10 Top Python Libraries

    https://www.kdnuggets.com/2023/n04.html

  • Python String Matching Without Complex RegEx Syntax

    Learn how to use human-friendly programmable regular expressions for complex Python string matching.

    https://www.kdnuggets.com/2023/02/python-string-matching-without-complex-regex-syntax.html

  • 20 Questions (with Answers) to Detect Fake Data Scientists: ChatGPT Edition, Part 2

    KDnuggets Top Blog Can ChatGPT provide answers to data science questions to the same standard of humans? Check out this attempt to do so, and compare the answers to those from experts.

    https://www.kdnuggets.com/2023/02/20-questions-detect-fake-data-scientists-chatgpt-2.html

  • Tapping into the Potential of Data Products in 2023

    Learn how data can be treated as a product and how it can be used to derive value.

    https://www.kdnuggets.com/2023/01/tapping-potential-data-products-2023.html

  • Learn Machine Learning From These GitHub Repositories

    KDnuggets Top Blog Kickstart your Machine Learning career with these curated GitHub repositories.

    https://www.kdnuggets.com/2023/01/learn-machine-learning-github-repositories.html

  • Streamlit for Machine Learning Cheat Sheet

    The latest cheat sheet from KDnuggets demonstrates how to use Streamlit for building machine learning apps. Download the quick reference now.

    https://www.kdnuggets.com/2023/01/streamlit-machine-learning-cheat-sheet.html

  • How to Effectively Use Pandas GroupBy

    Split the Pandas DataFrame into groups based on one or more columns and then apply various aggregation functions to each one of them.

    https://www.kdnuggets.com/2023/01/effectively-pandas-groupby.html

  • 3 More SQL Aggregate Function Interview Questions for Data Science

    Lacking inspiration on how to prepare SQL aggregate functions for a job interview? Here are three interview question suggestions to get you out of a rut.

    https://www.kdnuggets.com/2023/01/3-sql-aggregate-function-interview-questions-data-science.html

  • 10 Pandas One Liners for Data Access, Manipulation, and Management

    These 10 one liners will help you start to access, manipulate, and manage data using Pandas.

    https://www.kdnuggets.com/2023/01/pandas-one-liners-data-access-manipulation-management.html

  • Master Data Science with Anaconda

    As a special offer, you're receiving a 30-day FREE trial to Anaconda Notebooks and Learning. To unlock this offer, simply sign up for an Anaconda Nucleus account and use the promo code “NEWYEAR23" at checkout.

    https://www.kdnuggets.com/2023/01/anaconda-master-data-science-anaconda.html

  • Top 10 Advanced Data Science SQL Interview Questions You Must Know How to Answer

    In this article, we will give a list of commonly asked SQL interview questions to help you prepare for your coming technical interview.

    https://www.kdnuggets.com/2023/01/top-10-advanced-data-science-sql-interview-questions-must-know-answer.html

  • 7 SMOTE Variations for Oversampling

    Best oversampling techniques for the imbalanced data.

    https://www.kdnuggets.com/2023/01/7-smote-variations-oversampling.html

  • Multi-modal deep learning in less than 15 lines of code

    Learn how to easily build, iterate and deploy a state-of-the-art deep learning model to predict customer ratings with a declarative approach to machine learning.

    https://www.kdnuggets.com/2023/01/predibase-multi-modal-deep-learning-less-15-lines-code.html

  • An Introduction to Markov Chains

    Markov chains are often used to model systems that exhibit memoryless behavior, where the system's future behavior is not influenced by its past behavior.

    https://www.kdnuggets.com/2023/01/introduction-markov-chains.html

  • Top 8 Data Science Slack Communities to Join in 2023

    Take your Data Science journey to the next level by joining these Slack communities in 2023.

    https://www.kdnuggets.com/2023/01/top-8-data-science-slack-communities-join-2023.html

  • Hyperparameter Optimization: 10 Top Python Libraries

    Become familiar with some of the most popular Python libraries available for hyperparameter optimization.

    https://www.kdnuggets.com/2023/01/hyperparameter-optimization-10-top-python-libraries.html

  • The ChatGPT Cheat Sheet

    KDnuggets Top Blog Impress your friends and loved ones by perfecting your ChatGPT prompt engineering game with this incredibly useful resource.

    https://www.kdnuggets.com/2023/01/chatgpt-cheat-sheet.html

  • KDnuggets News, January 25: ChatGPT as a Python Programming Assistant • Python and Machine Learning to Predict Football Match Winners

    ChatGPT as a Python Programming Assistant • How to Use Python and Machine Learning to Predict Football Match Winners • 20 Questions (with Answers) to Detect Fake Data Scientists: ChatGPT Edition, Part 1 • From Data Collection to Model Deployment: 6 Stages of a Data Science Project • 5 Free Data Science Books You Must Read in 2023

    https://www.kdnuggets.com/2023/n03.html

  • How I Make $3,500 Online Every Month With Data Science

    Here's how you can do the same.

    https://www.kdnuggets.com/2023/01/make-3500-online-every-month-data-science.html

  • How to Track the Location of an IP Address using Python

    Learn how to geolocate an IP Address or a Domain Name using the python library named Ip2geotools.

    https://www.kdnuggets.com/2023/01/track-location-ip-address-python.html

  • 5 Ways to Deal with the Lack of Data in Machine Learning

    Effective solutions exist when you don't have enough data for your models. While there is no perfect approach, five proven ways will get your model to production.

    https://www.kdnuggets.com/2019/06/5-ways-lack-data-machine-learning.html

  • Genetic Programming in Python: The Knapsack Problem

    This article explores the knapsack problem. We will discuss why it is difficult to solve traditionally and how genetic programming can help find a "good enough" solution. We will then look at a Python implementation of this solution to test out for ourselves.

    https://www.kdnuggets.com/2023/01/knapsack-problem-genetic-programming-python.html

  • Learn how to design, measure and implement trustworthy A/B tests from leading experimentation expert Ronny Kohavi (ex-Amazon, Airbnb, Microsoft)

    Leading expert Ronny Kohavi, drawing from his 20+ years of experience, will walk you through the ins and outs of experimentation, identifying key insights and working through live demos in his live course, Accelerating Innovation with A/B Testing, starting January 30th.

    https://www.kdnuggets.com/2023/01/sphere-design-measure-implement-trustworthy-ab-tests-ronny-kohavi.html

  • 7 Best Libraries for Machine Learning Explained

    Learn about machine learning libraries for building and deploying machine learning models.

    https://www.kdnuggets.com/2023/01/7-best-libraries-machine-learning-explained.html

  • Setup and use JupyterHub (TLJH) on AWS EC2

    JupyterHub is a multi-user, container-friendly version of the Jupyter Notebook. However, it can be difficult to setup. This blog post will make you less likely to run into issues in this 15+ step process.

    https://www.kdnuggets.com/2023/01/setup-jupyterhub-tljh-aws-ec2.html

  • 5 Free Data Science Books You Must Read in 2023

    Get your hands on these gems to learn Python, data analytics, machine learning, and deep learning.

    https://www.kdnuggets.com/2023/01/5-free-data-science-books-must-read-2023.html

  • From Data Collection to Model Deployment: 6 Stages of a Data Science Project

    Here are 6 stages of a novel Data Science Project; From Data Collection to Model in Production, backed by research and examples.

    https://www.kdnuggets.com/2023/01/data-collection-model-deployment-6-stages-data-science-project.html

  • Scaling Data Management Through Apache Gobblin

    Software companies can manage big data at a hyper-scale on different infrastructure stacks using Apache Gobblin.

    https://www.kdnuggets.com/2023/01/scaling-data-management-apache-gobblin.html

  • ChatGPT as a Python Programming Assistant

    KDnuggets Top Blog Is ChatGPT useful for Python programmers, specifically those of us who use Python for data processing, data cleaning, and building machine learning models? Let's give it a try and find out.

    https://www.kdnuggets.com/2023/01/chatgpt-python-programming-assistant.html

  • Encoding Categorical Features with MultiLabelBinarizer

    Transform multi-label format into a binary matrix for multi-label classification.

    https://www.kdnuggets.com/2023/01/encoding-categorical-features-multilabelbinarizer.html

  • SQL and Data Integration: ETL and ELT

    In this article, we will discuss use cases and methods for using ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes along with SQL to integrate data from various sources.

    https://www.kdnuggets.com/2023/01/sql-data-integration-etl-elt.html

  • KDnuggets News, January 18: 7 Best Platforms to Practice SQL • Explainable AI: 10 Python Libraries for Demystifying Your Model’s Decisions

    7 Best Platforms to Practice SQL • Explainable AI: 10 Python Libraries for Demystifying Your Model's Decisions • ChatGPT: Everything You Need to Know • Data Lakes and SQL: A Match Made in Data Heaven • Google Data Analytics Certification Review for 2023

    https://www.kdnuggets.com/2023/n02.html

  • How to Use Python and Machine Learning to Predict Football Match Winners

    We will be learning web scraping and training supervised machine-learning algorithms to predict winning teams.

    https://www.kdnuggets.com/2023/01/python-machine-learning-predict-football-match-winners.html

  • Things Aren’t Always Normal: Some of the “Other” Distributions

    Learn about Gamma, Beta, and Bernoulli distributions with Python.

    https://www.kdnuggets.com/2023/01/things-arent-always-normal-distributions.html

  • 20 Questions (with Answers) to Detect Fake Data Scientists: ChatGPT Edition, Part 1

    Can ChatGPT provide answers to data science questions to the same standard of humans? Check out this attempt to do so, and compare the answers to those from experts.

    https://www.kdnuggets.com/2023/01/20-questions-detect-fake-data-scientists-chatgpt-1.html

  • Fast-track your next move with in-demand data skills

    DataCamp offers over 400 interactive courses, projects, and career tracks in the most popular data technologies such as Python, SQL, R, Power BI, and Tableau. Start today and save up to 67% on career-advancing learning.

    https://www.kdnuggets.com/2023/01/datacamp-fast-track-next-move-indemand-data-skills.html

  • Idiot’s Guide to Precision, Recall, and Confusion Matrix

    Building Machine Learning models is fun, but making sure we build the best ones is what makes a difference. Follow this quick guide to appreciate how to effectively evaluate a classification model, especially for projects where accuracy alone is not enough.

    https://www.kdnuggets.com/2020/01/guide-precision-recall-confusion-matrix.html

  • Social User Authentication in Django Framework

    Learn how to perform social user authentication in the Django web app using third-party services like Google.

    https://www.kdnuggets.com/2023/01/social-user-authentication-django-framework.html

  • 12 Docker Commands Every Data Scientist Should Know

    Looking to add Docker to your data science toolbox? Here’s a list of essential Docker commands to help you get started.

    https://www.kdnuggets.com/2023/01/12-docker-commands-every-data-scientist-know.html

  • Data Lakes and SQL: A Match Made in Data Heaven

    In this article, we will discuss the benefits of using SQL with a data lake and how it can help organizations unlock the full potential of their data.

    https://www.kdnuggets.com/2023/01/data-lakes-sql-match-made-data-heaven.html

  • ChatGPT: Everything You Need to Know

    KDnuggets Top Blog All you need to know about ChatGPT: what it can do, how it works, and its limitations.

    https://www.kdnuggets.com/2023/01/chatgpt-everything-need-know.html

  • Explainable AI: 10 Python Libraries for Demystifying Your Model’s Decisions

    Become familiar with some of the most popular Python libraries available for AI explainability.

    https://www.kdnuggets.com/2023/01/explainable-ai-10-python-libraries-demystifying-decisions.html

  • Concepts You Should Know Before Getting Into Transformers

    Learn about Input Embedding, Positional Encoding, Scaled Dot-Product Attention, Residual Connections, Mask, and Softmax function.

    https://www.kdnuggets.com/2023/01/concepts-know-getting-transformer.html

  • 7 Best Platforms to Practice SQL

    KDnuggets Top Blog Looking to level up your SQL skills? Here's a list of the best platforms to practice SQL, ace your SQL interviews, and land your dream data role.

    https://www.kdnuggets.com/2023/01/7-best-platforms-practice-sql.html

  • Top Posts January 2-8: Python Matplotlib Cheat Sheets

    Python Matplotlib Cheat Sheets • Free Data Management with Data Science Learning with CS639 • How to Select Rows and Columns in Pandas Using [ ], .loc, iloc, .at and .iat • Creating a Web Application to Extract Topics from Audio with Python • More Data Science Cheatsheets

    https://www.kdnuggets.com/2023/01/top-posts-week-0102-0108.html

  • Overcome Your Data Quality Issues with Great Expectations

    Bad data costs organizations money, reputation, and time. Hence it is very important to monitor and validate data quality continuously.

    https://www.kdnuggets.com/2023/01/overcome-data-quality-issues-great-expectations.html

  • Approaches to Data Imputation

    This guide will discuss what data imputation is as well as the types of approaches it supports.

    https://www.kdnuggets.com/2023/01/approaches-data-imputation.html

  • Google Data Analytics Certification Review for 2023

    What is the Google Data Analytics Certification? And, more importantly, is it still worth getting it in 2023?

    https://www.kdnuggets.com/2023/01/google-data-analytics-certification-review-2023.html

  • KDnuggets News, January 11: Python Matplotlib Cheatsheets • More Data Science Cheatsheets • Data Science & Machine Learning Developments of 2022

    Key Data Science, Machine Learning, AI and Analytics Developments of 2022 • Python Matplotlib Cheat Sheets • More Data Science Cheatsheets • Free Data Management with Data Science Learning with CS639 • Data-Driven Holiday Cheer: How Santa is Using Analytics to Make the Season Bright

    https://www.kdnuggets.com/2023/n01.html

  • RAPIDS cuDF for Accelerated Data Science on Google Colab

    GPU-accelerated dataframe library that implements the familiar pandas API for processing and analyzing your data.

    https://www.kdnuggets.com/2023/01/rapids-cudf-accelerated-data-science-google-colab.html

  • Topic Modeling Approaches: Top2Vec vs BERTopic

    This post gives an overview of the strengths and differences of these approaches in extracting topics from text.

    https://www.kdnuggets.com/2023/01/topic-modeling-approaches-top2vec-bertopic.html

  • Creating Beautiful Histograms with Seaborn

    Visualize the numerical distribution in a beautiful way.

    https://www.kdnuggets.com/2023/01/creating-beautiful-histograms-seaborn.html

  • 3 Tools to Track and Visualize the Execution of Your Python Code

    Avoid headaches when debugging in one line of code.

    https://www.kdnuggets.com/2021/12/3-tools-track-visualize-execution-python-code.html

  • Beginner’s Guide to Cloud Computing

    Learn how cloud computing works, different types of models, top cloud platforms, and applications.

    https://www.kdnuggets.com/2023/01/beginner-guide-cloud-computing.html

  • Performing a T-Test in Python

    An introduction to the t-test with python implementation.

    https://www.kdnuggets.com/2023/01/performing-ttest-python.html

  • Where Collaboration Fails Around Data (And 4 Tips for Fixing It)

    Data-driven organizations require complex collaboration between data teams and business stakeholders. Here are 4 proactive tips for reducing information asymmetries and achieving better collaboration.

    https://www.kdnuggets.com/2023/01/collaboration-fails-around-data-4-tips-fixing.html

  • How to Perform Unit Testing in Python?

    Unit testing is an important part of the software development life cycle as it helps to ensure that code is correct and working as intended. This article aims to introduce the concept of unit testing in Python and provide a basic tutorial on how to write and run unit tests using a unittest module.

    https://www.kdnuggets.com/2023/01/perform-unit-testing-python.html

  • 3 Things I Wish I Knew When I Started Data Science

    Looking back and realizing how I was wrong about the data science career.

    https://www.kdnuggets.com/2023/01/3-things-wish-knew-started-data-science.html

  • Creating a Web Application to Extract Topics from Audio with Python

    A step-by-step tutorial to build and deploy a web application for topic modeling of a Spotify podcast.

    https://www.kdnuggets.com/2023/01/creating-web-application-extract-topics-audio-python.html

  • Free Data Management with Data Science Learning with CS639

    KDnuggets Top Blog Learn Data Management with Data Science for FREE with CS639.

    https://www.kdnuggets.com/2023/01/free-data-management-data-science-learning-cs639.html

  • Python Lambda Functions, Explained

    Learn the syntax and uses of the lambda function, which is an alternative to the regular Python function.

    https://www.kdnuggets.com/2023/01/python-lambda-functions-explained.html

  • The Fast and Effective Way to Audit ML for Fairness

    Is your model fair? Here's how to audit using the Aequitas Toolkit.

    https://www.kdnuggets.com/2023/01/fast-effective-way-audit-ml-fairness.html

  • How to Merge Pandas DataFrames

    Data merge is a common data processing activity. Learn how Pandas provide various ways to merge our data.

    https://www.kdnuggets.com/2023/01/merge-pandas-dataframes.html

  • SQL With CSVs

    Write SQL query to analyze CSV files using the simple command line tool.

    https://www.kdnuggets.com/2023/01/sql-csvs.html

  • A Solid Plan for Learning Data Science, Machine Learning, and Deep Learning

    Check out this solid plan for learning Data Science, Machine Learning, and Deep Learning. The entire plan is currently available at no cost to KDnuggets readers.

    https://www.kdnuggets.com/2023/01/mwiti-solid-plan-learning-data-science-machine-learning-deep-learning.html

  • Micro, Macro & Weighted Averages of F1 Score, Clearly Explained

    Understanding the concepts behind the micro average, macro average, and weighted average of F1 score in multi-class classification with simple illustrations.

    https://www.kdnuggets.com/2023/01/micro-macro-weighted-averages-f1-score-clearly-explained.html

  • Natural Language Processing with spaCy

    Learn to build NLP projects using spaCy.

    https://www.kdnuggets.com/2023/01/natural-language-processing-spacy.html

  • Top Data Python Packages to Know in 2023

    These Python packages would improve your data workflow.

    https://www.kdnuggets.com/2023/01/top-data-python-packages-know-2023.html

  • Introduction to Multi-Armed Bandit Problems

    Delve deeper into the concept of multi-armed bandits, reinforcement learning, and exploration vs. exploitation dilemma.

    https://www.kdnuggets.com/2023/01/introduction-multiarmed-bandit-problems.html

  • Python Matplotlib Cheat Sheets

    KDnuggets Top Blog Matplotlib is the most famous and commonly used plotting library in Python. It allows you to create clear and interactive visualizations that make your data easier to understand and your results more concrete.

    https://www.kdnuggets.com/2023/01/python-matplotlib-cheat-sheets.html

  • Unsupervised Disentangled Representation Learning in Class Imbalanced Dataset Using Elastic Info-GAN

    This рареr attempts to exploit primarily twо flaws in the Infо-GАN рареr while retаining the оther good qualities improvements.

    https://www.kdnuggets.com/2023/01/unsupervised-disentangled-representation-learning-class-imbalanced-dataset-elastic-infogan.html

  • 12 Essential Commands for Streamlit

    Learn about the most commonly used Streamlit commands and build a customized web application.

    https://www.kdnuggets.com/2023/01/12-essential-commands-streamlit.html

  • More Data Science Cheatsheets

    It's time again to look at some data science cheatsheets. Here you can find a short selection of such resources which can cater to different existing levels of knowledge and breadth of topics of interest.

    https://www.kdnuggets.com/2021/03/more-data-science-cheatsheets.html

  • Data Science Minimum: 10 Essential Skills You Need to Know to Start Doing Data Science

    Data science is ever-evolving, so mastering its foundational technical and soft skills will help you be successful in a career as a Data Scientist, as well as pursue advance concepts, such as deep learning and artificial intelligence.

    https://www.kdnuggets.com/2020/10/data-science-minimum-10-essential-skills.html

  • Top 38 Python Libraries for Data Science, Data Visualization & Machine Learning

    This article compiles the 38 top Python libraries for data science, data visualization & machine learning, as best determined by KDnuggets staff.

    https://www.kdnuggets.com/2020/11/top-python-libraries-data-science-data-visualization-machine-learning.html

  • The Zen of Python

    Python is one of the programming languages that are very versatile and relatively easy to learn. Hence it is the choice of many new programmers, regardless of what area of tech they are interested in. It is particularly popular in all data science branches.

    https://www.kdnuggets.com/2022/12/zen-python.html

  • Key Data Science, Machine Learning, AI and Analytics Developments of 2022

    It's the end of the year, and so it's time for KDnuggets to assemble a team of experts and get to the bottom of what the most important data science, machine learning, AI and analytics developments of 2022 were.

    https://www.kdnuggets.com/2022/12/key-data-science-machine-learning-ai-analytics-developments-2022.html

  • 24 Best (and Free) Books To Understand Machine Learning

    We have compiled a list of some of the best (and free) machine learning books that will prove helpful for everyone aspiring to build a career in the field.

    https://www.kdnuggets.com/2020/03/24-best-free-books-understand-machine-learning.html

  • A Guide to Train an Image Classification Model Using Tensorflow

    Classify images at scale and with very high accuracy with the advent of machine learning and deep learning algorithms.

    https://www.kdnuggets.com/2022/12/guide-train-image-classification-model-tensorflow.html

  • 5 Tasks To Automate With Python

    Here are 5 tasks you can automate with Python, and how to do it.

    https://www.kdnuggets.com/2021/06/5-tasks-automate-python.html

  • Python String Methods

    Learn Python String methods to get better at writing efficient and elegant code.

    https://www.kdnuggets.com/2022/12/python-string-methods.html

  • The Importance of Permutation in Neural Network Predictions

    Permutation plays a significant role in making neural networks work as expected and showing whether they provide valid results. Explore how it affects neural network predictions now.

    https://www.kdnuggets.com/2022/12/importance-permutation-neural-network-predictions.html

  • Top KDnuggets Post of 2022: Is Data Science a Dying Career?

    Also: The Complete Collection of Data Science Cheat Sheets • 15 Python Coding Interview Questions You Must Know For Data Science • Free Python for Data Science Course • The High Paying Side Hustles for Data Scientists • Vanishing Gradient Problem, Explained

    https://www.kdnuggets.com/2022/12/top-posts-2022.html

  • How To Find The Best Data Science Remote Jobs

    Learn Why, What, and How about the best data science remote jobs.

    https://www.kdnuggets.com/2022/12/find-best-data-science-remote-jobs.html

  • Learn Data Science From These GitHub Repositories

    KDnuggets Top Blog Kickstart your data science career with these curated GitHub repositories.

    https://www.kdnuggets.com/2022/12/learn-data-science-github-repositories.html

  • Getting Started with Scikit-learn for Classification in Machine Learning

    The tutorial will introduce you to the scikit-learn module and its various features. It will also give you a brief overview of the multiclass classification problem through various algorithms.

    https://www.kdnuggets.com/getting-started-with-scikit-learn-for-classification-in-machine-learning

  • How to Get Your First Job in Data Science without Any Work Experience

    Creativity, grit, and perseverance will become the three words you live by.

    https://www.kdnuggets.com/2021/02/first-job-data-science-without-work-experience.html

  • How to Land a Senior Data Scientist Position

    How to differentiate yourself as a senior in data science interviews.

    https://www.kdnuggets.com/2022/12/land-senior-data-scientist-position.html

  • Make Amazing Visualizations with Python Graph Gallery

    Use the hundreds of charts made on Python Graph Gallery to help you make your visualization.

    https://www.kdnuggets.com/2022/12/make-amazing-visualizations-python-graph-gallery.html

  • What Can AI-Powered RPA and IA Mean For Businesses?

    RPA and IA have stunned the business world by availing impressive, intelligent automation capabilities for scales of businesses across industries, which we'll know in this blog.

    https://www.kdnuggets.com/2022/12/aipowered-rpa-ia-mean-businesses.html

  • 7 Super Cheat Sheets You Need To Ace Machine Learning Interview

    KDnuggets Top Blog Revise the concepts of machine learning algorithms, frameworks, and methodologies to ace the technical interview round.

    https://www.kdnuggets.com/2022/12/7-super-cheat-sheets-need-ace-machine-learning-interview.html

  • How To Overcome The Fear of Math and Learn Math For Data Science

    Many aspiring Data Scientists, especially when self-learning, fail to learn the necessary math foundations. These recommendations for learning approaches along with references to valuable resources can help you overcome a personal sense of not being "the math type" or belief that you "always failed in math."

    https://www.kdnuggets.com/2021/03/overcome-fear-learn-math-data-science.html

  • How To Collect Data For Customer Sentiment Analysis

    Customer sentiment analysis involves collecting, analyzing, and leveraging data to understand customers' feelings. This article focuses on how to collect data for customer sentiment analysis.

    https://www.kdnuggets.com/2022/12/collect-data-customer-sentiment-analysis.html

  • Zero-shot Learning, Explained

    How you can train a model to learn and predict unseen data?

    https://www.kdnuggets.com/2022/12/zeroshot-learning-explained.html

  • 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.

    https://www.kdnuggets.com/2022/12/baypath-prepared-manage-threat-ms-cybersecurity.html

  • YOLOv5 PyTorch Tutorial

    Learn and train object detection model using YOLOv5.

    https://www.kdnuggets.com/2022/12/yolov5-pytorch-tutorial.html

  • 5 Python Projects for Data Science Portfolio

    KDnuggets Top Blog Get more experience by working on web scraping, data analytics, time-series forecasting, machine learning, and deep learning projects.

    https://www.kdnuggets.com/2022/12/5-python-projects-data-science-portfolio.html

  • Tuning Adam Optimizer Parameters in PyTorch

    Choosing the right optimizer to minimize the loss between the predictions and the ground truth is one of the crucial elements of designing neural networks.

    https://www.kdnuggets.com/2022/12/tuning-adam-optimizer-parameters-pytorch.html

  • Sentiment Analysis on Encrypted Data with Homomorphic Encryption

    This blog post uses the Concrete-ML library, allowing data scientists to use machine learning models in fully homomorphic encryption (FHE) settings without any prior knowledge of cryptography. We provide a practical tutorial on how to use the library to build a sentiment analysis model on encrypted data.

    https://www.kdnuggets.com/2022/12/zama-sentiment-analysis-encrypted-data-homomorphic-encryption.html

  • How I Tripled My Income With Data Science in 18 Months

    After losing the Job, I taught myself data science and tripled my income.

    https://www.kdnuggets.com/2021/10/tripled-my-income-data-science-18-months.html

  • Markdown Cheatsheet

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