Bite-Sized Neo4j for Data Scientists
Learn Neo4j for data science: connect to databases, use Python drivers, write Cypher queries, import data, perform graph analytics, and compare with SQL databases.
Using Wireshark
Learn to analyze network traffic, detect attacks, and intercept data using Wireshark. Hands-on tutorials cover Wi-Fi hacking, device tracking, and network security techniques.
Machine Learning Using Spark MLLib
Learn to implement machine learning algorithms using Spark MLLib, covering linear regression techniques, data preprocessing, model building, and evaluation methods in a hands-on, practical approach.
IDEs for Machine Learning
Explore open-source IDEs for machine learning, including Jupyter Notebook, Google Colab, Spyder, and RStudio. Learn features, interfaces, and example codes to enhance your coding efficiency in ML projects.
LDA Application in Entertainment Industry
Explore Linear Discriminant Analysis application in entertainment, covering key concepts, data analysis, and practical implementation using Jupyter Notebook for feature selection and classification.
Julia in VS Code - New Features and Enhancements
Explore new features in Julia VS Code extension: Jupyter integration, plot gallery, debugger improvements, and package release tools for enhanced development experience.
An Introduction to Julia for Beginners
Comprehensive introduction to Julia programming, covering basics to advanced topics. Ideal for beginners with technical computing needs and experience in other languages.
Learn Python and Data Science in Just an Hour
Comprehensive introduction to Python and data science, covering data manipulation, visualization, and statistical analysis using real-world examples in just over an hour.
Web Scraping Facebook with Selenium - Automated Bot
Learn to create an automated bot using Python, Selenium, and Chrome Driver to scrape and download entire Facebook image galleries, with step-by-step guidance on setup, coding, and execution.
Playing with Data in Jupyter Notebooks with VS Code
Explore data science workflows using Jupyter Notebooks in VS Code. Learn tips and tricks for efficient coding, and discover how to make your notebooks faster and more visually appealing.
Setting Up VS Code for Python Beginners
Learn to set up VS Code for Python development, covering installation, extensions, settings, virtual environments, IntelliSense, and Jupyter notebooks in this beginner-friendly tutorial.
How Twitter Bots Are Made - The Ultimate Guide for Beginners
Learn to create a simple Twitter bot using Python and Selenium. Explore web automation techniques, HTML basics, and ethical considerations while building a retweet bot with customizable features.
Data Science Your First Day
Learn essential data science skills: GitHub, Colab, data analysis, visualization, and CI/CD. Hands-on practice with real-world datasets and tools for efficient workflow and collaboration.
AI & ML Workflows with Kubernetes
Explore strategies to accelerate and automate AI/ML workflows using Kubernetes, leveraging open-source tools like Jupyter Notebooks and TensorFlow for efficient development and deployment.
Curso Python Data Science En Español
Aprende Python para ciencia de datos desde cero: instalación, Jupyter Notebook, estructuras de datos, numpy, pandas y visualización con Matplotlib. Sin conocimientos previos requeridos.
도커(Docker) 활용 및 배포 자동화 실전 초급
AWS EC2에서 Docker를 활용한 웹 서버 구축, MySQL 연동, GitHub 연계, Jenkins를 통한 자동화 배포 등 실전적인 Docker 활용 기술을 습득할 수 있는 초급 실습 과정.
Naïve Bayes Algorithm in Hindi - Naïve Bayes Classifier Explained - Machine Learning
हिंदी में नाइव बेयस एल्गोरिथम की व्याख्या, जो मशीन लर्निंग में वर्गीकरण के लिए उपयोग किया जाता है। यह स्पैम फ़िल्टरिंग, टेक्स्ट विश्लेषण और चिकित्सा निदान जैसे अनुप्रयोगों पर केंद्रित है।
TensorFlow Machine Learning Basic Tutorial
TensorFlow와 머신러닝의 기초를 배우고 실제 프로젝트로 배추 가격 예측 AI를 개발하는 과정. 개발환경 설정부터 선형 회귀, K-평균 알고리즘, 데이터 시각화, 웹 서버 구현까지 다룹니다.
Lessons Learned From Machine Learning Pipelines in Production
Explore practical insights on implementing machine learning pipelines in production environments, focusing on challenges, solutions, and best practices using Kedro framework.
JupyterLab Tutorial - Installation, Features, and Usage
Comprehensive guide to JupyterLab installation, features, and usage. Learn to leverage this powerful web-based interface for interactive computing and data analysis.
5 Best IDEs for Python Development - Choosing the Right One
Comprehensive guide to selecting the ideal IDE for Python development, comparing features and use cases of PyCharm, IDLE, VS Code, Jupyter Notebook, and Jupyter Lab.