A Data Scientist & AI Engineer | Proficient in Python| Master's in Mathematics | A Freelancer π» | Machine Learning and Deep Learning enthusiastic | Open source enthusiastic | Enjoy learning new technologies ! π
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π― Iβm looking to collaborate on
Machine Learning-projects
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π¬ Ask me about Python, Data Analysis , Machine Learning, Natural Language Processing (NLP), Deep Learning, Generative AI, and Large Language Models (LLM).
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π« How to reach me: [email protected]
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β‘ Fun fact
Scratch here ββββββββββ to unveil my fun fact Lolπ
π Connect with me :
My Recent GitHub Activity
- π Merged PR #15 in NimraAslamkhan/product-recommendation-system
- βοΈ Closed issue #23 in NimraAslamkhan/TensorFlow-Examples
- πͺ Opened PR #18 in NimraAslamkhan/python-project-1
- β Closed PR #45 in NimraAslamkhan/MCQ-generator
- π Merged PR #34 in NimraAslamkhan/End-To-End-Resume-traking-ATS-LLM-Project-With-Google-Gmini
- βοΈ Closed issue #102 in NimraAslamkhan/Credit-Card-Fraud-Detection
- π Merged PR #23 in NimraAslamkhan/ML-For-Beginners
- β Closed PR #17 in NimraAslamkhan/50-Days-of-Python-DataScience-ML
- π Merged PR #32 in NimraAslamkhan/python_coding_challenges
- βοΈ Opened issue #12 in NimraAslamkhan/Jarvis-python
- AI: Exploring New Techniques in AI
- Data Science: Latest Trends in Data Science
- Generative AI: Hands-On with Generative AI
- Machine Learning: Diving into Machine Learning Models
- Tools: Learning About Advanced AI Tools and Techniques
- Frameworks: Experimenting with New ML Frameworks
- Neural Networks: Understanding Neural Networks and Deep Learning
- NLP: Discovering Innovations in NLP
- AI Applications: Building Real-World AI Applications
- Hugging Face : Actively using and contributing to open-source models and datasets for NLP and generative AI tasks.
- Kaggle : Participating in competitions and sharing insights through notebooks and discussions.
- GitHub : Collaborating on projects and contributing to various machine learning repositories.
- Medium Articles : Writing about my learning journey and sharing best practices in data science and machine learning.
- "Effective Feature Selection Techniques for Machine Learning"
Learn how to select the most relevant features for machine learning models and improve model accuracy using techniques like PCA, Recursive Feature Elimination, and feature importance in Python.