InTowards Data SciencebyJonte DanckerIncrease Trust in Your Regression Model The Easy WayHow to use Conformalized Quantile RegressionNov 133Nov 133
InTowards Data SciencebyHarys DalviPredicting Every Election Since 1916How “election pundit predictions” betray a misunderstanding of probabilityNov 840Nov 840
Mohamed HmamouchBeyond Churn Models: How Causal Inference and Uplift Modeling Drive Effective RetentionUsing Uplift Modeling to Tailor Your Marketing StrategyNov 52Nov 52
InTowards Data SciencebyYu DongFrom Insights to Impact: Presentation Skills Every Data Scientist NeedsHow to Structure, Design, and Deliver Data Presentations That Win Over StakeholdersOct 281Oct 281
InTowards Data SciencebyFelix GermaineMarketing Mix Modeling (MMM): How to Avoid Biased Channel EstimatesLearn which variables you should and should not take into account in your model.Oct 163Oct 163
InAI AdvancesbyTarun SinghUsing Phi-3-Vision-128K for Real-World Image Data Extraction: From Invoices to LandmarksIntroductionOct 112Oct 112
InTowards Data SciencebyThuwarakesh MurallieI Fine-Tuned the Tiny Llama 3.2 1B to Replace GPT-4oIs the fine-tuning effort worth more than few-shot prompting?Oct 1528Oct 1528
InThe AI ArchivesbyChandler KGetting started with OpenAI’s Chat Completions API in 2024A Guide to Creating Your Own Simple ChatbotMar 271Mar 271
InTowards Data SciencebyLeo AnelloHow to Build a Multi-Target Regression Model for Macroeconomic PredictionA step-by-step guide to predicting multiple economic indicators.Oct 162Oct 162
InAI AdvancesbyGustavo SantosHow to Use Statistical Distributions to Solve Business ProblemsLearn how to calculate probabilities out of distributions using Python.Sep 202Sep 202
InTowards Data SciencebyJuan Jose MunozEncoding Categorical Variables: A Deep Dive into Target EncodingData comes in different shapes and forms. One of those shapes and forms is known as categorical data.Feb 54Feb 54
InNeo4j Developer BlogbyAdam CowleyTurn your CSVs Into Graphs Using LLMsHow do LLMs fare when attempting to create graphs from flat CSV files?Oct 44Oct 44
InTowards Data SciencebyStefan PietruskyASCVIT V1: Automatic Statistical Calculation, Visualization and Interpretation ToolAutomated data analysis made easy: The first version of ASCVIT the tool for statistical calculation, visualization and interpretationSep 161Sep 161
InTowards Data SciencebyFarzad NobarSampling — The Unsung Hero of Data ScienceSampling: Methodologies, Implementation and ComparisonJan 18, 20231Jan 18, 20231
InGoPenAIbyRindhuja Treesa JohnsonCustomer Lifetime Value (CLV) Prediction With Machine Learning and DB Querying With LLMPredict the Customer Lifetime Value of auto insurance clients to minimize the investment risks of the insurance companies.May 6May 6
InTowards Data SciencebyJose ParreñoBuilding a marketing data science team from scratchFrom scratch to a 6-member team: How I built Skyscanner’s marketing data science team, proving value by being focused and strong…May 235May 235
InTowards Data SciencebyCristian LeoMachine Learning Optimization with OptunaHow to fine-tune every machine learning algorithm in Python: The ultimate guide to machine learning optimization with OptunaJun 252Jun 252
InTowards Data SciencebyIvo BernardoModel Drift Introduction and ConceptsLearn some of the concepts behind machine learning models drift and understand why MLOps is so important in today’s worldJun 22Jun 22
Shivang KumarDecoding Recurrence: Analyzing Thyroid Cancer DataWelcome to an in-depth exploration of Differentiated Thyroid Cancer (DTC) recurrence patterns. The recurrence of thyroid cancer creates…Jan 19Jan 19
Shivang KumarA Statistical Analysis of the Relationship Between Student Alcoholism and Academic PerformanceThe complicated link between cultural influences, academic performance, and behavioural tendencies can be found inside the labyrinth of…Dec 28, 2023Dec 28, 2023
