Welcome! Do you remember the seaborn professional teacher seal? And he wants to learn together at an Intermediate level of the Seaborn! Don't hesitate! Let's go!

In this project, we are going to classify spam emails according to their content.

In this project, we are going to understand how to create a simple web scraper in Python.

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.

Now we are going to understand what a cluster is and how to use it in Python. We will explore the concept of clustering, which involves grouping a set of objects in such a way that objects in the same group (or cluster) are more similar to each other than to those in other groups. Additionally, we will demonstrate how to implement clustering algorithms using Python's popular libraries, such as scikit-learn, to identify patterns and insights within your data.

The Django REST Framework course opens the gateway to the world of web interface development, where you'll learn to create connections between servers and clients through APIs. As you delve into the technical details, you'll master how to transform complex data structures into network-friendly formats and vice versa. You'll understand how to efficiently handle user requests and return responses in a format that seamlessly integrates into web applications.

Together we will make the first dive into visualization based on a seaborn library. We will learn how to build simple plots and how to customize them. You will cope faster with tasks if you know something about pandas. Do not hesitate, and let's go!

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.

Unlock the power of Excel for data analysis! In this course, you will acquire the essential skills and knowledge needed to harness Excel's full potential as a data analysis tool. From mastering formulas and functions to visualizing data with charts and graphs, you'll gain the expertise to confidently navigate Excel's features. Whether you're a beginner or looking to enhance your existing Excel skills, this course will equip you with the tools to excel in data analysis. Join us and take your data manipulation and interpretation abilities to the next level.

C++ Loops from scratch. Master one of the fundamental building blocks for programming. This course is perfect for beginners and those looking to solidify their understanding of loops.

In this project, we will delve into the fundamentals of NumPy, exploring its core features and uncovering the reasons behind its significant impact on scientific computing. By understanding its architecture and capabilities, we will grasp why it is considered an essential tool for data scientists, researchers, and developers working in the realm of data analysis, machine learning, and beyond.

Build a strong foundation in statistics using Python. Learn essential statistical concepts and apply them through NumPy and pandas. Move from basic measures like mean and variance to hypothesis testing, confidence intervals, and data-driven insights with hands-on practice.

Probability theory is a fundamental branch of mathematics that deals with the study of uncertainty and randomness. It provides a framework for understanding and quantifying uncertainty in various fields, including statistics, data analysis, machine learning, finance, physics, and more.

This hands-on course provides an opportunity to apply and consolidate your skills across a range of data analysis tasks using real-world dataset. You'll learn how to identify and address data issues, and then explore and visualize data using pandas, matplotlib, and seaborn to uncover insights and draw conclusions.

Master the core principles of functions and their practical applications. Learn to declare, use, and optimize functions through topics like parameter handling, scope management, and overloading. Explore recursion, templates, and lambda expressions to build modular, efficient, and reusable code for real-world challenges.