Beginners

Bayesian Linear Regression: A Complete Beginner’s guide

A workflow and code walkthrough for constructing a Bayesian regression model in STANNote: Try my previous article for a practical discussion on why Bayesian modeling could also be the appropriate selection in your task.This...

Encoding Categorical Data, Explained: A Visual Guide with Code Example for Beginners

DATA PREPROCESSINGSix ways of matchmaking categories and numbers10 min read·19 hours agoAh, categorical data — the colourful characters in our datasets that machines just can’t seem to grasp. That is where “red” becomes 1,...

Missing Value Imputation, Explained: A Visual Guide with Code Examples for Beginners

DATA PREPROCESSINGOne (tiny) dataset, six imputation methods?Let’s discuss something that each data scientist, analyst, or curious number-cruncher has to take care of in the end: missing values. Now, I do know what you’re considering...

Bernoulli Naive Bayes, Explained: A Visual Guide with Code Examples for Beginners

Unlocking Predictive Power Through Binary SimplicityLike several algorithm in machine learning, Bernoulli Naive Bayes has its strengths and limitations.Simplicity: Easy to implement and understand.Efficiency: Fast to coach and predict, works well with large feature...

K Nearest Neighbor Classifier, Explained: A Visual Guide with Code Examples for Beginners

The friendly neighbor approach to machine learninglabels, predictions, accuracies = list(y_test), , k_list = for k in k_list:knn_clf = KNeighborsClassifier(n_neighbors=k)knn_clf.fit(X_train, y_train)y_pred = knn_clf.predict(X_test)predictions.append(list(y_pred))accuracies.append(accuracy_score(y_test, y_pred).round(4)*100)df_predictions = pd.DataFrame({'Label': labels})for k, pred in zip(k_list, predictions):df_predictions = preddf_accuracies...

A beginner’s guide to constructing a Retrieval Augmented Generation (RAG) application from scratch

Learn critical knowledge for constructing AI apps, in plain englishRetrieval Augmented Generation, or RAG, is all the craze nowadays since it introduces some serious capabilities to large language models like OpenAI’s GPT-4 — and...

A Beginner’s Guide to Asset Performance Management (APM)

Breakthroughs in technologies like Artificial Intelligence (AI) are changing how we take into consideration operations management. As organizations move from a reactive approach to a proactive one, they will use technologies just like the...

Data Engineering: A Formula 1-inspired Guide for Beginners

A Glossary with Use Cases for First-Timers in Data EngineeringData Engineering is a magical realm, with a plethora of books dedicated to it.Throughout the journey, data engineers will engage with unlimited integration tools, diverse...

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