R courses

Introduction to Jupyter notebook: R

1 hour

7 chapters

Beginner

This project settled for beginners to learn the very basic principles and concepts of Jupyter notebooks with R.

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Building a Classic Snake Game

1 hour

11 chapters

Intermediate

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.

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Crafting a Classic Hangman Game

1 hour

9 chapters

Beginner

Hangman is a classic word-guessing game where players aim to uncover a hidden word by suggesting letters within a limited number of attempts. The game progresses with each incorrect guess, drawing parts of a hangman figure, leading to a loss if the figure is completed before the word is fully guessed. In this project, participants will methodically build a digital version of Hangman. We will start by loading a word list from a file, then move on to develop functions for handling guesses, updating the game state, and managing the game's flow, culminating in a complete, playable game.

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Building a Classic Snake Game

1 hour

11 chapters

Intermediate

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.

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Conducting Exploratory Data Analysis of Nobel Prizes

1 hour

6 chapters

Intermediate

We will delve into the concept of Exploratory Data Analysis (EDA) and explore its critical role within every Data Analysis process, particularly focusing on the analysis of Nobel Prizes. EDA serves as a foundational step that enables data scientists and analysts to uncover patterns, anomalies, and insights from data through visual and statistical methods.

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Regex Wizards (Project)

1 hour

9 chapters

Beginner

In this project, we are going to use regex in search and replace operations in Python.

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Building Arcade Game

1 hour

13 chapters

Beginner

Dive into an electrifying Python arcade adventure with PyGame! Command a superhero through a dynamic universe, dodging space ships, snagging shimmering crystals, and outsmarting foes. Experience thrilling player control, ingenious enemy and bonus spawns, strategic collision dodges, and a vibrant, scrolling backdrop that propels you through an exhilarating journey of discovery and triumph.

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Extracting Text Meaning using TF-IDF

2 hours

12 chapters

Intermediate

This project focuses on the design and implementation of a robust text summarizer, built using Python. By harnessing the capabilities of Python’s Natural Language Toolkit (NLTK), participants will gain hands-on experience in processing and analyzing textual data. The project covers a range of NLP techniques essential for text summarization. Participants will develop skills in parsing text and extracting meaningful content, learning how to filter essential information from large volumes of text.

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Manipulating and Combining PDFs

1 hour

9 chapters

Beginner

In this project, we will study how to manipulate and extract data from PDF files, such as text and images, and combine multiple PDF files into a single document.

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Recognizing Handwritten Digits

2 hours

10 chapters

Advanced

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.

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Identifying Fake News

1 hour

7 chapters

Advanced

In this project, we are going to classify news and identify the fake ones.

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Identifying the Most Frequent Words in Text

1 hour

11 chapters

Beginner

In this project, we will be utilizing the capabilities of the Natural Language Toolkit (NLTK), a versatile and comprehensive library in Python designed for working with human language data. Our focus will encompass several core areas of natural language processing: tokenization, stemming, tagging and parsing. These NLTK features will form the backbone of our text processing and analysis tasks, making it an essential tool in our project for handling and extracting meaningful insights from language data.

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Time Series Essentials

1 hour

8 chapters

Intermediate

In this project, we are going to understand what a Time Series is and which are its main features.

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Tweet Sentiment Analysis

2 hours

11 chapters

Advanced

In this project, we are going to classify tweets according to their sentiment.

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Best Practices: Python OOP

1 hour

8 chapters

Intermediate

In this project, we are going to understand what Object Oriented Programming (OOP) is and how we can implement it in Python.

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Fundamentals of Image Manipulation with Python

1 hour

11 chapters

Intermediate

In this project, we are going to understand how to handle images in Python.

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Identifying Spam Emails

2 hours

11 chapters

Advanced

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

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Automating Data Collection from Web Sources

1 hour

7 chapters

Intermediate

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

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Gaining Insights with Data Visualization

1 hour

10 chapters

Intermediate

In this project, we are going to understand the meaning of Data Visualization and its powers.

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Getting into NumPy Basics

1 hour

7 chapters

Intermediate

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.

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Unveiling the Power of Data Manipulation with Pandas

1 hour

7 chapters

Intermediate

In this project, we are going to understand what Pandas is and why it is so powerful.

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Clustering Demystified

2 hours

11 chapters

Advanced

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

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Excel Automation with Python (project)

1 hour

11 chapters

Intermediate

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

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Logistic Regression Mastering

1 hour

7 chapters

Advanced

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

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Organizing Date and Time Data for Analysis and Applications

1 hour

7 chapters

Beginner

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

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TEST E2E PROJECT BEGINNER

0 hour

0 chapter

Beginner

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TEST E2E PROJECT INTERMEDIATE

0 hour

0 chapter

Intermediate

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TEST PROJECT

0 hour

2 chapters

Beginner

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Analyzing FIFA-17 players data with pandas

1 hour

10 chapters

Intermediate

In this project, you will analyze data from one of the most popular and the oldest (but still existing) computer game series - FIFA, namely FIFA-17 with pandas library and seaborn library for visualization.

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Basic linear models

0 hour

5 chapters

Beginner

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Create the strongest Pokemon

1 hour

4 chapters

Intermediate

Love the Pokemon world? Cool! In this project, you will make your own strongest Pokemon.

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Gradient descent for linear regression

1 hour

8 chapters

Intermediate

The starting point for all optimization theory and machine learning is the idea that we can use calculus to automatically step by step change the result towards improvement. In this course, we will apply this idea to a linear model.

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Indian Food Project

0 hour

1 chapter

Intermediate

something

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Introduction to Jupyter notebook: Python

1 hour

6 chapters

Beginner

This project settled for beginners to learn the very basic principles and concepts of Jupyter notebooks with Python.

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Is the mushroom poisonous?

0 hour

3 chapters

Intermediate

In this project, we study a dataset in which the external characteristics of mushrooms are presented, and with their help, we will predict whether the mushroom is poisonous

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Linear regression for non-linear functions

1 hour

4 chapters

Intermediate

Despite its seeming limitations, linear regression allows us to approximate not only linear functions, but also square, cubic and other polynomials. We also can add more functions to the basis and approximate, for example, functions with trigonometric expressions, roots, exponents and so on.

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Lohvyn project test

0 hour

1 chapter

Beginner

test desc

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Oleh Project Test Testing

0 hour

1 chapter

Beginner

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Predict rain in Australia

0 hour

3 chapters

Intermediate

We invite you to become a hero in saving Australia from floods by predicting whether it will rain tomorrow!

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Predict the release clause of FIFA 2019 players

1 hour

7 chapters

Intermediate

Like football? Good! Here we will try to predict Release clause of your favourite football players using the data from Fifa 2019!

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Selenium Project

1 hour

10 chapters

Beginner

This project will teach us how to automate web-based tasks and test web applications in Python.

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Stock Prices Prediction Project

2 hours

10 chapters

Advanced

In this project, we are going to predict stock prices using ML Models.

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TEST PROJECT WITH COLUMN CHAPTERS

0 hour

0 chapter

Beginner

TEST PROJECT WITH COLUMN CHAPTERS

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TEST PROJECT(deprecated)

0 hour

0 chapter

Advanced

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Test project with task

0 hour

2 chapters

Beginner

test description

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test project

0 hour

0 chapter

Beginner

coming soon

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test project

0 hour

1 chapter

Beginner

consequat Lorem Excepteur

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E2E TEST PROJECT

0 hour

3 chapters

Intermediate

Project for e2e testing

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