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Qodo Raises $40M to Enhance AI-Driven Code Integrity and Developer Efficiency

In a big step forward for AI-driven software development, Qodo (formerly CodiumAI) recently secured $40 million in a Series A funding round led by Susa Ventures and Square Peg, with additional contributions from Firestreak...

The way to Convert a Single HEX Color Code right into a Monochrome Color Palette with Python

Spoiler: It’s harder than you think that.Colours are hard, especially in the event you don’t have a watch for design.Most of us tech professionals don’t. The upside is that Python can do a lot...

A Powerful Feature for Boosting Python Code Efficiency and Streamlining Complex Workflows

All it is advisable to learn about Python loopsPython’s ability to handle repetitive tasks, automate processes, and implement complex algorithms through its powerful loops, is kind of notable. To assist Python enthusiasts fully understand...

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...

Paws, Claws, and Code: 6 Must-Know Python Examples

Celebrating International Cat Day with PythonInternational Cat Day (8 August) is a purrfect occasion to mix our love for felines with the ability of information science and Python programming. Should you’re a cat owner...

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