C++ Smart Pointers

3 uren

18 hoofdstukken

Gevorderd

Unlock the power of memory management. Designed seasoned programmers, this course provides a deep dive into one of the most crucial aspects of modern development and revise about pointers and references. With Smart Pointers, you'll learn how to effectively manage memory allocation and deallocation, avoiding common pitfalls like memory leaks and dangling pointers. Our expert instructors guide you through the intricacies of unique_ptr, shared_ptr, and weak_ptr, empowering you to write safer and more robust code.

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Classification with Python

3 uren

24 hoofdstukken

Halfgevorderd

In machine learning, classification is used in predictive modeling to assign input data with a class label. Sounds difficult? Don't worry! Let's cope with this! Welcome to the ML!

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Cluster Analysis

4 uren

34 hoofdstukken

Halfgevorderd

Gain a solid understanding of cluster analysis, a key unsupervised learning technique for uncovering patterns in unlabeled data. Explore the essentials of K-Means, Hierarchical Clustering, DBSCAN, and GMMs, and get hands-on experience with real datasets to build confidence in applying clustering to real-world problems.

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Clustering Demystified

2 uren

11 hoofdstukken

Gevorderd

In this project, we are going to understand what a cluster is and how to use it in Python.

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Data Anomaly Detection

3 uren

15 hoofdstukken

Gevorderd

Anomaly detection is integral to any data scientist's work: high-quality, cleaned, and well-prepared data is the key to success for almost any machine learning problem.

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Ensemble Learning

4 uren

22 hoofdstukken

Gevorderd

Ensemble Learning is an advanced machine learning technique that combines multiple models to improve overall predictive performance and decision-making when solving real-life tasks.

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Excel Automation with Python (project)

1 uur

11 hoofdstukken

Halfgevorderd

In this project, we will study how to create, modify, and extract data from Excel spreadsheets using Python code.

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Identifying Fake News

2 uren

9 hoofdstukken

Gevorderd

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.

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Linear Regression with Python

2 uren

19 hoofdstukken

Halfgevorderd

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.

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Logistic Regression Mastering

1 uur

6 hoofdstukken

Gevorderd

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.

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Logistic Regression Mastering

1 uur

7 hoofdstukken

Gevorderd

In this project, we are going to understand the career tracks of Data Scientists.

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Mathematics for Data Analysis and Modeling

3 uren

21 hoofdstukken

Halfgevorderd

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.

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Organizing Date and Time Data for Analysis and Applications

1 uur

7 hoofdstukken

Beginner

In this project, we are going to understand how to handle Date and Times in Python.

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Visualization in Python with matplotlib

4 uren

34 hoofdstukken

Halfgevorderd

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.

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Django ORM Ninja: Advanced Techniques for Developers

5 uren

28 hoofdstukken

Gevorderd

Learn how to build applications using the Django ORM framework. This is the next step in expanding your knowledge of Django development.

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Neural Networks with TensorFlow

5 uren

29 hoofdstukken

Gevorderd

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.

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