GithubHelp home page GithubHelp logo

Hi there, I'm Anuj Vaghani! 👋

LinkedIn

Welcome to my GitHub profile! I'm passionate about Data science, and I love building intelligent systems that can extract insights from data. Here, you'll find some of my projects and code examples related to these fields.

About Me

  • 🌱 Constantly learning and exploring new techniques in data analytics and machine learning
  • 💻 Strong background in Python
  • 👨🏻‍🎓 Graduated B.Tech in IT
  • 🤝 Seeking help in Open Source Contributions
  • 🚀 To infinity and beyond!

Skills

from collections import defaultdict
import anuj

def get_reach_out_info():
    # Function to collect reach-out information
    reach_out_info = defaultdict(list)
    reach_out = {
        "LinkedIn": "https://www.linkedin.com/in/anujvaghani0",
        "email": "[email protected]",
        "github": "https://github.com/anujvaghani0",
        "twitter": "https://twitter.com/anujvaghani0",
        "LeetCode": "https://leetcode.com/anujvaghani0",
    }
    reach_out_info.update(reach_out)
    return reach_out_info

def main():
    # Entry point of the script
    tools_list = ["python3", "SQL", "Flask", "Java", "HTML", "CSS", "CI/CD"]
    expertise_list = ["Data Science", "Machine Learning", "Deep Learning",
                      "Natural Language Processing", "Computer Vision", "EDA",
                      "Feature Engineering"]
    Statistical_Inference = ["Hypothesis Testing", "A/B Testing", "Confidence Intervals",
                             "Central Limit Theorem", "Law of Large Numbers"]
    library_list = ["Numpy", "Pandas", "Matplotlib", "Seaborn", "Scikit-Learn", "NLTK",
                    "Tensorflow", "Keras", "PyTorch", "OpenCV", "Flask", "Streamlit", "SpaCy"]
    reach_out_info = get_reach_out_info()
    anuj.showcase(tools_list, expertise_list, reach_out_info, Statistical_Inference, library_list)

if __name__ == "__main__":
    main()

# Write 'python script_name.py' in the terminal to execute this script.

Projects

Here are a few highlighted projects that demonstrate my skills and expertise:

  • Project 1: Online retail customer segmentation
  • Project 2: Airline Passenger Referral Prediction
  • Project 3: Bike-Sharing-Demand-Prediction
  • Project 4: Coccidiosis-Diseases-classfication
  • Project 5: Text-Summarization-NLP-Project

Feel free to explore the rest of my repositories for more projects and code!

Connect with Me

I'm always open to collaborating on interesting projects or discussing data-related topics. Connect with me on LinkedIn or reach out via email!

Let's learn, explore, and build amazing things together!

Anuj Vaghani's Projects

airline-passenger-referral-prediction icon airline-passenger-referral-prediction

I applied several machine learning algorithms, including logistic regression, random forest, and support vector machines, to predict the likelihood of a passenger becoming a referral.

authentication-system icon authentication-system

A login and signup form using HTML, nodeJs, and mongodb. This form allows users to register and login. All information is stored in a mongodb-atlas database. After successful login the user is redirected to their dashboard. Project Website:

bike-sharing-demand-prediction icon bike-sharing-demand-prediction

Bike-sharing-demand-prediction refers to a type of project or task in the field of data science and machine learning that involves developing predictive models to estimate the demand for bike-sharing services.

classifying-animals-using-cnn icon classifying-animals-using-cnn

This is a deep learning project that aims to classify images of animals using Convolutional Neural Networks (CNNs). The project uses popular deep learning frameworks like TensorFlow and is implemented in Python.

coccidiosis-diseases-classfication icon coccidiosis-diseases-classfication

The main objective of this project is to develop a deep learning model capable of classifying coccidiosis diseases based on input data, such as microscopic images or diagnostic data. The classification model will be trained using labeled datasets that include various samples of coccidia-infected and healthy animals.

dsa-java icon dsa-java

DSA in Java covers a wide range of algorithms, including sorting algorithms, searching algorithms, graph algorithms, and dynamic programming algorithms. The implementation and optimization of these algorithms require a solid understanding of data structures, such as arrays, linked lists, trees, and graphs, and their associated operations.

eda-hotel-booking icon eda-hotel-booking

EDA (Exploratory Data Analysis) for Hotel Booking refers to the process of analyzing and exploring the data related to hotel bookings to gain insights and understanding of the data.

eventoria-project icon eventoria-project

An Event Management System with the aim to Unify Events, Users and Organizers.

hacktoberfest-2022 icon hacktoberfest-2022

Contribute in this repository by raising genuine PR. Get verified, merged and earn the free swags from Hacktoberfest 2022.

kidney-disease-classification icon kidney-disease-classification

The project aims to develop a deep-learning model for classifying kidney images into normal or tumor cases. Early detection of kidney diseases through automated classification can significantly improve patient outcomes and streamline medical diagnostics. Leveraging deep learning, convolutional neural networks (CNN), and various MLOps tools.

online-retail-customer-segmentation icon online-retail-customer-segmentation

Online retail customer segmentation using Machine Learning (ML) involves the use of algorithms to automatically identify patterns and groups within customer data. ML algorithms can analyze a large amount of customer data in real-time, and can quickly identify customer behavior patterns that might be difficult for humans to detect.

show-weather icon show-weather

Any temperature of the city is easily detected. Temperature status can also be viewed. This is done by a real API(open Weather) used.

text-summarization-nlp-project icon text-summarization-nlp-project

The primary goal of the Text Summarization NLP Project is to develop a robust and accurate summarization system that can efficiently process various types of textual content, including articles, news reports, research papers, and more.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.