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project
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.
new
2 hours
9 chaptersAdvanced
course
Linear Regression with Python
Linear Regression is a crucial concept in predictive analytics. It is widely used by data scientists, data analytics, and statisticians as it is easy to build and interpret but powerful enough for many tasks.
new
2 hours 19 chaptersIntermediate
project
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.
new
1 hour 6 chaptersAdvanced
project
Logistic Regression Mastering
In this project, we are going to understand the career tracks of Data Scientists.
new
1 hour 7 chaptersAdvanced
course
Mathematics for Data Analysis and Modeling
To study many applied disciplines, it is necessary to have basic knowledge of higher mathematics and linear algebra. Mathematics is often used in data analysis, system modeling, building machine learning models, etc. Let's look at some of the most important topics and learn how to use the mathematical apparatus to solve real problems.
new
3 hours 21 chaptersIntermediate
project
Organizing Date and Time Data for Analysis and Applications
In this project, we are going to understand how to handle Date and Times in Python.
new
1 hour 7 chaptersBeginner
course
Visualization in Python with matplotlib
Visualization is one of the most common ways of representing data. By using different kinds of plots (like scatter-plot, histogram, bar charts, and so on) you can find some insights in your data, or approve/reject some assumption/hypothesis. In this course, you will be introduced to the matplotlib library, and learn how to build different charts.
new
4 hours 34 chaptersIntermediate
course
Django ORM Ninja: Advanced Techniques for Developers
Learn how to build applications using the Django ORM framework. This is the next step in expanding your knowledge of Django development.
new
5 hours 28 chaptersAdvanced
1 STUDYING NOW
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Neural Networks with TensorFlow
Dive into the world of neural network development with an immersive program that blends foundational knowledge with advanced techniques. The course emphasizes hands-on learning, providing learners with the opportunity to apply these techniques. Additionally, you will face numerous data preprocessing tasks and real-world examples of neural network training, so stay prepared and motivated, as it will present a significant challenge for you.
new
5 hours 29 chaptersAdvanced
course
The Art of A/B Testing
This course is a comprehensive and practical online program designed to equip individuals with the knowledge and skills necessary to conduct effective A/B tests.
In this course, participants will learn the fundamental principles of A/B testing, including experimental design, sample size determination, hypothesis testing, and statistical analysis.
new
4 hours 31 chaptersIntermediate
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Career tracks
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Only for UltimateTEST TRACK 12
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4.5
(58)
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5 Courses119 TasksIntermediate
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4.6
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4 Courses115 TasksBeginner
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TEST TRACK 12
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7 Courses345 Tasks 4.5
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5 Courses119 Tasks 4.9
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Mastering Data Visualization
5 Courses146 Tasks 4.6
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6 Courses101 Tasks 4.4
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Java Essentials
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Game Development with Unity
4 Courses143 Tasks 4.6
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5 Courses180 Tasks 4.4
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Flask for Dummies
5 Courses165 Tasks 4.5
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Frontend Development Foundations
6 Courses308 Tasks 4.6
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Only for Ultimate
Web Developer from Zero to Hero
6 Courses252 Tasks 4.6
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8 Courses2 Projects176 Tasks 4.5
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2 Courses80 Tasks 5.0
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7 Courses293 Tasks 4.8
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project
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.
new
2 hours 9 chaptersAdvanced
course
Linear Regression with Python
Linear Regression is a crucial concept in predictive analytics. It is widely used by data scientists, data analytics, and statisticians as it is easy to build and interpret but powerful enough for many tasks.
new
2 hours 19 chaptersIntermediate
project
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.
new
1 hour 6 chaptersAdvanced
project
Logistic Regression Mastering
In this project, we are going to understand the career tracks of Data Scientists.
new
1 hour 7 chaptersAdvanced
course
Mathematics for Data Analysis and Modeling
To study many applied disciplines, it is necessary to have basic knowledge of higher mathematics and linear algebra. Mathematics is often used in data analysis, system modeling, building machine learning models, etc. Let's look at some of the most important topics and learn how to use the mathematical apparatus to solve real problems.
new
3 hours 21 chaptersIntermediate
project
Organizing Date and Time Data for Analysis and Applications
In this project, we are going to understand how to handle Date and Times in Python.
new
1 hour 7 chaptersBeginner
course
Visualization in Python with matplotlib
Visualization is one of the most common ways of representing data. By using different kinds of plots (like scatter-plot, histogram, bar charts, and so on) you can find some insights in your data, or approve/reject some assumption/hypothesis. In this course, you will be introduced to the matplotlib library, and learn how to build different charts.
new
4 hours 34 chaptersIntermediate
course
Django ORM Ninja: Advanced Techniques for Developers
Learn how to build applications using the Django ORM framework. This is the next step in expanding your knowledge of Django development.
new
5 hours 28 chaptersAdvanced
1 STUDYING NOW
course
Neural Networks with TensorFlow
Dive into the world of neural network development with an immersive program that blends foundational knowledge with advanced techniques. The course emphasizes hands-on learning, providing learners with the opportunity to apply these techniques. Additionally, you will face numerous data preprocessing tasks and real-world examples of neural network training, so stay prepared and motivated, as it will present a significant challenge for you.
new
5 hours 29 chaptersAdvanced
course
The Art of A/B Testing
This course is a comprehensive and practical online program designed to equip individuals with the knowledge and skills necessary to conduct effective A/B tests.
In this course, participants will learn the fundamental principles of A/B testing, including experimental design, sample size determination, hypothesis testing, and statistical analysis.
new
4 hours 31 chaptersIntermediate
course
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TEST E2E PROJECT INTERMEDIATE
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new
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project
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.
new
2 hours 9 chaptersAdvanced
course
Linear Regression with Python
Linear Regression is a crucial concept in predictive analytics. It is widely used by data scientists, data analytics, and statisticians as it is easy to build and interpret but powerful enough for many tasks.
new
2 hours 19 chaptersIntermediate
project
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.
new
1 hour 6 chaptersAdvanced
project
Logistic Regression Mastering
In this project, we are going to understand the career tracks of Data Scientists.
new
1 hour 7 chaptersAdvanced
course
Mathematics for Data Analysis and Modeling
To study many applied disciplines, it is necessary to have basic knowledge of higher mathematics and linear algebra. Mathematics is often used in data analysis, system modeling, building machine learning models, etc. Let's look at some of the most important topics and learn how to use the mathematical apparatus to solve real problems.
new
3 hours 21 chaptersIntermediate
project
Organizing Date and Time Data for Analysis and Applications
In this project, we are going to understand how to handle Date and Times in Python.
new
1 hour 7 chaptersBeginner
course
Visualization in Python with matplotlib
Visualization is one of the most common ways of representing data. By using different kinds of plots (like scatter-plot, histogram, bar charts, and so on) you can find some insights in your data, or approve/reject some assumption/hypothesis. In this course, you will be introduced to the matplotlib library, and learn how to build different charts.
new
4 hours 34 chaptersIntermediate
course
Django ORM Ninja: Advanced Techniques for Developers
Learn how to build applications using the Django ORM framework. This is the next step in expanding your knowledge of Django development.
new
5 hours 28 chaptersAdvanced
1 STUDYING NOW
course
Neural Networks with TensorFlow
Dive into the world of neural network development with an immersive program that blends foundational knowledge with advanced techniques. The course emphasizes hands-on learning, providing learners with the opportunity to apply these techniques. Additionally, you will face numerous data preprocessing tasks and real-world examples of neural network training, so stay prepared and motivated, as it will present a significant challenge for you.
new
5 hours 29 chaptersAdvanced
course
The Art of A/B Testing
This course is a comprehensive and practical online program designed to equip individuals with the knowledge and skills necessary to conduct effective A/B tests.
In this course, participants will learn the fundamental principles of A/B testing, including experimental design, sample size determination, hypothesis testing, and statistical analysis.
new
4 hours 31 chaptersIntermediate
course
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