About
Learn more about me
Data Scientist
🚀 Hi, I'm, a data scientist, who is passionate about transforming raw data into actionable insights. Experienced in Management and Training, I specialize in lateral thinking. Explore my portfolio to see how I've tackled real-world challenges through the lens of data science.
- Birthday: 9 December 2000
- GitHub: Click here
- Phone: contact via mail :)
- City: Chennai, India
- Age: 23
- Degree: PG Data Science
- Email: arunkumaroraon2000@gmail.com
- Freelance: Available
"Data science is my doorway to making a difference." I am inspired by the opportunity to solve complex puzzles and make a meaningful contribution to a variety of sectors. My interest is fueled by continuous learning, as each project brings new difficulties and novel technologies. I value collaboration and ethical considerations in my work as a member of a thriving data science community. As a data scientist, I believe in translating raw data into captivating tales that influence decision-making and result in great consequences."
Experience
Projects
Hours Of Support
Awards
Skills
Interests
Data Science
Machine Learning
Computer Vision
Natural Language Processing
Git/Github
Data Analytics
Badminton
Chess
Flashcards
Bias is error from oversimplification, while variance is error from too much complexity in machine learning models. Striking the right balance between them is crucial for accurate and adaptable predictions on new data. Successful models find this equilibrium for reliability.
Bias VS Variance
Machine Learning Model
Adagrad is an adaptive learning rate algorithm in machine learning. It dynamically adjusts rates for each parameter, improving convergence and performance, especially in scenarios with varying feature importance.
Adagrad Optimizer
Deep Learning
NER in NLP identifies and classifies entities like names and locations in text, providing semantic understanding. OCR extracts text from images or documents, bridging the gap between physical and digital data for NLP analysis. Together, they enhance the processing of diverse data sources.
NER & OCR
NLP
Analysis of Variance s a statistical technique that evaluates differences in means among multiple groups. It assesses variance within and between groups, helping identify significant differences. It's a key tool for understanding group variations and making informed decisions in research and analysis.
ANOVA
Statistics
Pandas is a versatile Python library for data manipulation and analysis, especially useful for handling structured data. Polar, on the other hand, is designed specifically for high-performance database queries. Choose Pandas for general data tasks and Polar for optimized database querying.
