Carreras
pista
Solo para Ultimate
Web Development with C#
7 Cursos
293 TareasPrincipiante
4.8
(2360)
pista
Solo para Ultimate
Python from Zero to Hero
6 Cursos169 TareasPrincipiante
4.7
(8356)
pista
Solo para Ultimate
SQL from Zero to Hero
4 Cursos115 TareasPrincipiante
4.7
(2594)
pista
Solo para Ultimate
С++ Essentials
6 Cursos101 TareasPrincipiante
4.4
(487)
pista
Solo para Ultimate
Game Development with Unity
4 Cursos143 TareasPrincipiante
4.7
(76)
pista
Solo para Ultimate
Become a React Developer
5 Cursos119 TareasIntermedio
4.7
(67)
pista
Solo para Ultimate
Excel Essentials
3 Cursos38 TareasPrincipiante
4.7
(304)
pista
Solo para Ultimate
Java Essentials
7 Cursos376 TareasPrincipiante
4.7
(198)
pista
Solo para Ultimate
Python Beyond Intermediate
2 Cursos
1 Proyecto57 TareasPrincipiante
4.6
(68)
pista
Solo para Ultimate
Full Stack Web Development
7 Cursos346 TareasPrincipiante
4.7
(859)
pista
Solo para Ultimate
Frontend Development Foundations
6 Cursos309 TareasPrincipiante
4.7
(831)
pista
Solo para Ultimate
Mastering Data Visualization
5 Cursos146 TareasIntermedio
4.7
(569)
pista
Solo para Ultimate
Supervised Machine Learning
5 Cursos135 TareasIntermedio
4.6
(125)
pista
Solo para Ultimate
C++ Mastery
3 Cursos71 TareasAvanzado
4.8
(16)
pista
Solo para Ultimate
Java Web
6 Cursos239 TareasAvanzado
4.7
(1165)
pista
Solo para Ultimate
Become a QA Engineer
5 Cursos239 TareasPrincipiante
4.7
(724)
pista
Solo para Ultimate
Video Production with Adobe
4 Cursos125 TareasPrincipiante
5.0
(5)
pista
Solo para Ultimate
UI/UX Design Tools
3 Cursos119 TareasPrincipiante
5.0
(4)
pista
Solo para Ultimate
Essential Office Skills
3 Cursos75 TareasPrincipiante
4.8
(242)
pista
Solo para Ultimate
Digital Marketing Essentials
4 Cursos159 TareasPrincipiante
5.0
(3)
pista
Solo para Ultimate
Complete Social Media Management
4 Cursos154 TareasPrincipiante
5.0
(1)
pista
Solo para Ultimate
Web Development with C#
7 Cursos293 Tareas 4.8
pista
Solo para Ultimate
Python from Zero to Hero
6 Cursos169 Tareas 4.7
pista
Solo para Ultimate
SQL from Zero to Hero
4 Cursos115 Tareas 4.7
pista
Solo para Ultimate
С++ Essentials
6 Cursos101 Tareas 4.4
pista
Solo para Ultimate
Game Development with Unity
4 Cursos143 Tareas 4.7
pista
Solo para Ultimate
Become a React Developer
5 Cursos119 Tareas 4.7
pista
Solo para Ultimate
Excel Essentials
3 Cursos38 Tareas 4.7
pista
Solo para Ultimate
Java Essentials
7 Cursos376 Tareas 4.7
pista
Solo para Ultimate
Python Beyond Intermediate
2 Cursos1 Proyecto57 Tareas 4.6
pista
Solo para Ultimate
Full Stack Web Development
7 Cursos346 Tareas 4.7
pista
Solo para Ultimate
Frontend Development Foundations
6 Cursos309 Tareas 4.7
pista
Solo para Ultimate
Mastering Data Visualization
5 Cursos146 Tareas 4.7
pista
Solo para Ultimate
Supervised Machine Learning
5 Cursos135 Tareas 4.6
pista
Solo para Ultimate
C++ Mastery
3 Cursos71 Tareas 4.8
pista
Solo para Ultimate
Java Web
6 Cursos239 Tareas 4.7
pista
Solo para Ultimate
Become a QA Engineer
5 Cursos239 Tareas 4.7
pista
Solo para Ultimate
Video Production with Adobe
4 Cursos125 Tareas 5.0
pista
Solo para Ultimate
UI/UX Design Tools
3 Cursos119 Tareas 5.0
pista
Solo para Ultimate
Essential Office Skills
3 Cursos75 Tareas 4.8
pista
Solo para Ultimate
Digital Marketing Essentials
4 Cursos159 Tareas 5.0
pista
Solo para Ultimate
Complete Social Media Management
4 Cursos154 Tareas 5.0
Cursos y Proyectos
Tecnologías
Filtros
Avanzado
Proyecto
Filtros
proyecto
Recognizing Handwritten Digits
In this project, our primary objective will be to delve into the identification of handwritten digits through the application of machine learning algorithms. This endeavor aims to harness the power of machine learning to effectively interpret and understand handwritten digits, showcasing the potential of these algorithms in processing and analyzing complex visual information.
5.0
(1)
Solo para Ultimate
2 horas
10 capítulosAvanzado
6 ESTUDIANDO AHORA
proyecto
Identifying Spam Emails
We are going to classify emails as spam or non-spam by analyzing the content of the emails. We will preprocess the text data using techniques like tokenization and vectorization, then apply machine learning to build and evaluate a classification model, namely Logistic Regression. By the end of the project, we aim to develop a reliable tool for identifying spam emails.
nuevo
Solo para Ultimate
2 horas 11 capítulosAvanzado
proyecto
Classifying Tweet Sentiments
We are going to classify tweets according to their sentiment, determining whether they express positive, negative, or neutral emotions. We will employ natural language processing techniques to preprocess the text data, and machine learning algorithms to build and evaluate sentiment classification models. By the end of the project, we aim to achieve a robust sentiment analysis tool that can accurately categorize the emotional tone of various tweets.
nuevo
Solo para Ultimate
3 horas 20 capítulosAvanzado
proyecto
Predicting Profitable Euro-Dollar Exchange Signals
In this course, we will examine the currency exchange rate relative to the euro. Our analysis will include Exploratory Data Analysis (EDA), generating visualizations, and developing a strategy to determine opportune moments for purchasing dollars. This strategy will involve trend detection techniques and constructing moving average curves to identify potential profit opportunities.
nuevo
Solo para Ultimate
3 horas 20 capítulosAvanzado
proyecto
Identifying Fake News
We are going to identify fake news by analyzing text data and determining whether articles are legitimate or deceptive. We will preprocess the text data using natural language processing techniques and apply machine learning algorithms to build and evaluate classification models. By the end of the project, we aim to develop an effective tool that can accurately distinguish between real and fake news.
nuevo
Solo para Ultimate
2 horas 9 capítulosAvanzado
proyecto
Logistic Regression Mastering
Logistic regression is a statistical method for analyzing a dataset in which there are one or more independent variables that determine an outcome. In this project, we will leverage logistic regression to classify data into two distinct categories. The process will involve data preprocessing, model training, evaluation, and tuning to achieve optimal performance.
nuevo
Solo para Ultimate
1 hora 6 capítulosAvanzado
proyecto
Recognizing Handwritten Digits
In this project, our primary objective will be to delve into the identification of handwritten digits through the application of machine learning algorithms. This endeavor aims to harness the power of machine learning to effectively interpret and understand handwritten digits, showcasing the potential of these algorithms in processing and analyzing complex visual information.
5.0
(1)
Solo para Ultimate
2 horas 10 capítulosAvanzado
6 ESTUDIANDO AHORA
proyecto
Identifying Spam Emails
We are going to classify emails as spam or non-spam by analyzing the content of the emails. We will preprocess the text data using techniques like tokenization and vectorization, then apply machine learning to build and evaluate a classification model, namely Logistic Regression. By the end of the project, we aim to develop a reliable tool for identifying spam emails.
nuevo
Solo para Ultimate
2 horas 11 capítulosAvanzado
proyecto
Classifying Tweet Sentiments
We are going to classify tweets according to their sentiment, determining whether they express positive, negative, or neutral emotions. We will employ natural language processing techniques to preprocess the text data, and machine learning algorithms to build and evaluate sentiment classification models. By the end of the project, we aim to achieve a robust sentiment analysis tool that can accurately categorize the emotional tone of various tweets.
nuevo
Solo para Ultimate
3 horas 20 capítulosAvanzado
proyecto
Predicting Profitable Euro-Dollar Exchange Signals
In this course, we will examine the currency exchange rate relative to the euro. Our analysis will include Exploratory Data Analysis (EDA), generating visualizations, and developing a strategy to determine opportune moments for purchasing dollars. This strategy will involve trend detection techniques and constructing moving average curves to identify potential profit opportunities.
nuevo
Solo para Ultimate
3 horas 20 capítulosAvanzado
proyecto
Identifying Fake News
We are going to identify fake news by analyzing text data and determining whether articles are legitimate or deceptive. We will preprocess the text data using natural language processing techniques and apply machine learning algorithms to build and evaluate classification models. By the end of the project, we aim to develop an effective tool that can accurately distinguish between real and fake news.
nuevo
Solo para Ultimate
2 horas 9 capítulosAvanzado
proyecto
Logistic Regression Mastering
Logistic regression is a statistical method for analyzing a dataset in which there are one or more independent variables that determine an outcome. In this project, we will leverage logistic regression to classify data into two distinct categories. The process will involve data preprocessing, model training, evaluation, and tuning to achieve optimal performance.
nuevo
Solo para Ultimate
1 hora 6 capítulosAvanzado
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