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Cursos & Projetos

Structuring Applications Using OOP Principles

This is a hands-on course that will help you understand the basics of object-oriented programming in Python. You will learn how to create classes, work with objects, use inheritance, and extend the capabilities of your programs.

Identifying Spam Emails

Classify emails as spam or non-spam by analyzing the content of the emails. Preprocess the text data using techniques like tokenization and vectorization, and apply machine learning to build and evaluate a classification model. Develop a reliable tool for identifying spam emails.

Departments' Revenue Analysis

We will use pandas to analyze departmental data by exploring, cleaning, and manipulating the dataset. Starting with basic inspection and data cleaning, we'll perform filtering, merge datasets, apply advanced filtering using multiple conditions, and finally group the data to extract meaningful insights.

Identifying Fake News

Identify fake news by analyzing text data and determining whether articles are legitimate or deceptive. Preprocess the text data using natural language processing techniques and apply machine learning algorithms to build and evaluate classification models. Develop an effective tool that can accurately distinguish between real and fake news.

Conducting A/B Test

In the world of business, making decisions based on hard data rather than intuition can be the key to success. This course focuses on one crucial technique: analyzing A/B test data. The centerpiece of the course is a project where you'll conduct a detailed analysis of an A/B test. This project, which you can showcase in your CV, is hosted on Codefinity, allowing you to continually refine it and demonstrate your growing expertise.

Building a Classic Snake Game

In this project, you'll embark on a journey of game development, learning essential programming concepts while honing your creativity and problem-solving skills. Through step-by-step tutorials, you'll build a fully functional Snake game from scratch.

Analyzing Social Influences on High School Performance

Explore how romantic relationships may impact academic performance differently for male and female students using statistical analysis and visualization.

Data-Driven Insights from the 2019 World Happiness Report

Explore relationships between economic, social, and health factors and happiness by analyzing the 2019 World Happiness Report dataset.

Detecting Credit Card Fraud with Machine Learning

This project teaches practical fraud detection using machine learning, focusing on data preprocessing, model training, evaluation, and threshold optimization.

Detecting Fake Job Postings with Machine Learning

Build a machine learning system to detect fraudulent job postings using text analysis and structured metadata for robust automated screening.

Investigating Diabetes Risk Factors

This course guides you through analyzing real-world health data to uncover key diabetes risk factors and inform targeted public health interventions.

Optimizing Bank Telemarketing Campaigns

This project empowers you to analyze marketing campaign data, evaluate communication effectiveness, and apply statistical methods for data-driven recommendations.

Predicting Potable Water Quality

Build a predictive model to identify potable water using chemical measurements, evaluating model performance and feature importance for decision support.

Predicting Red Wine Quality with Machine Learning

Explore how machine learning can reveal key chemical traits that distinguish high-quality red wines using real-world data.

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Cursos & Projetos

Tecnologias

Structuring Applications Using OOP Principles

Identifying Spam Emails

Departments' Revenue Analysis

Identifying Fake News

Conducting A/B Test

Building a Classic Snake Game

Analyzing Social Influences on High School Performance

Explore how romantic relationships may impact academic performance differently for male and female students using statistical analysis and visualization.

Data-Driven Insights from the 2019 World Happiness Report

Explore relationships between economic, social, and health factors and happiness by analyzing the 2019 World Happiness Report dataset.

Detecting Credit Card Fraud with Machine Learning

This project teaches practical fraud detection using machine learning, focusing on data preprocessing, model training, evaluation, and threshold optimization.

Detecting Fake Job Postings with Machine Learning

Build a machine learning system to detect fraudulent job postings using text analysis and structured metadata for robust automated screening.

Investigating Diabetes Risk Factors

This course guides you through analyzing real-world health data to uncover key diabetes risk factors and inform targeted public health interventions.

Optimizing Bank Telemarketing Campaigns

This project empowers you to analyze marketing campaign data, evaluate communication effectiveness, and apply statistical methods for data-driven recommendations.

Predicting Potable Water Quality

Build a predictive model to identify potable water using chemical measurements, evaluating model performance and feature importance for decision support.

Predicting Red Wine Quality with Machine Learning

Explore how machine learning can reveal key chemical traits that distinguish high-quality red wines using real-world data.

Structuring Applications Using OOP Principles

Identifying Spam Emails

Departments' Revenue Analysis

Identifying Fake News

Conducting A/B Test

Building a Classic Snake Game

Analyzing Social Influences on High School Performance

Explore how romantic relationships may impact academic performance differently for male and female students using statistical analysis and visualization.

Data-Driven Insights from the 2019 World Happiness Report

Explore relationships between economic, social, and health factors and happiness by analyzing the 2019 World Happiness Report dataset.

Detecting Credit Card Fraud with Machine Learning

This project teaches practical fraud detection using machine learning, focusing on data preprocessing, model training, evaluation, and threshold optimization.

Detecting Fake Job Postings with Machine Learning

Build a machine learning system to detect fraudulent job postings using text analysis and structured metadata for robust automated screening.

Investigating Diabetes Risk Factors

This course guides you through analyzing real-world health data to uncover key diabetes risk factors and inform targeted public health interventions.

Optimizing Bank Telemarketing Campaigns

This project empowers you to analyze marketing campaign data, evaluate communication effectiveness, and apply statistical methods for data-driven recommendations.

Predicting Potable Water Quality

Build a predictive model to identify potable water using chemical measurements, evaluating model performance and feature importance for decision support.

Predicting Red Wine Quality with Machine Learning

Explore how machine learning can reveal key chemical traits that distinguish high-quality red wines using real-world data.

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what you're looking for

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