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.
- 🌱 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!
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.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!
I'm always open to collaborating on interesting projects or discussing data-related topics. Connect with me on LinkedIn or reach out via email!
- LinkedIn:LinkedIn Profile
- Email: [[email protected]]
Let's learn, explore, and build amazing things together!