You will get a fantastic extension that extracts info from linkedIn.com
You will get a fantastic extension that extracts info from linkedIn.com
Project details
It extracts the user name, user job title, URL, and post description from Linkedin.com. The extraction is done by scrolling the LinkedIn page automatically. When it extracts the required data you will get a CSV file as an output.
Programming Languages
HTML & CSS, JavaScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, Security$10
- Delivery Time 1 day
- Number of Revisions 5
- Number of Pages 0
- Design Customization
- Responsive Design
- Source Code
About Salman
Python & JavaScript Developer | Web Scraping | Data Science
92%
Job Success
Islamabad, Pakistan - 1:14 pm local time
=> Web Scraping: Expertise in JavaScript, Puppeteer, Python, BeautifulSoup, and Selenium for extracting valuable data efficiently.
=> Data Science & Machine Learning : Skilled in exploratory data analysis, developing machine learning models, and using data-driven insights to optimize business processes.
=> Chrome Extension Development: Creating high-performance, customized Chrome extensions tailored to your needs.
=> AI Integration : Proficient in utilizing OpenAI APIs to embed advanced AI functionalities into your websites and applications
=> Committed regular communication and collaboration on ongoing projects updates, ensuring that your project requirements are met with precision and efficiency. Let's work together to bring your ideas to life!
In the domain of data science, machine learning, and statistical analysis, I harness a powerful suite of tools and libraries to extract insights and drive informed decision-making.
Tools and Technologies:
Python Ecosystem: Python serves as the cornerstone of my data analysis and machine learning endeavors, offering a rich ecosystem of libraries and frameworks.
NumPy and Pandas: NumPy provides essential functionalities for numerical computing, while Pandas offers powerful data manipulation and analysis tools. Together, they form the foundation for handling and processing structured data efficiently.
Scikit-learn: Scikit-learn is my go-to library for machine learning tasks. Its intuitive interface and comprehensive collection of algorithms make it ideal for tasks such as classification, regression, clustering, and dimensionality reduction.
Matplotlib and Seaborn: These visualization libraries enable me to create insightful plots and charts to communicate findings effectively. Matplotlib offers a wide range of customization options, while Seaborn provides high-level statistical graphics for exploratory data analysis.
Core Activities:
Data Analysis: I leverage Pandas and NumPy to explore datasets, perform data cleaning, and conduct descriptive statistics. By visualizing data distributions and relationships using Matplotlib and Seaborn, I gain valuable insights into the underlying patterns and trends.
Machine Learning Modeling: Using Scikit-learn, I develop, and fine-tune machine learning models tailored to specific business objectives. From simple linear regression to sophisticated ensemble methods, I select and implement algorithms that best suit the task at hand.
Evaluation and Interpretation: I employ rigorous evaluation techniques to assess model performance and generalization capabilities. By analyzing model metrics and visualizing results, I interpret findings and derive actionable insights that drive strategic decision-making.
Through the proficient utilization of these tools and techniques, I empower organizations to extract actionable insights from their data, enabling them to make data-driven decisions with confidence and clarity.
Steps for completing your project
After purchasing the project, send requirements so Salman can start the project.
Delivery time starts when Salman receives requirements from you.
Salman works on your project following the steps below.
Revisions may occur after the delivery date.
The client reviews and approves my work, and then gets paid.
client may request revisions before approving the work.