Deep Learning Specialization Labs
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Summary
Completed a series of hands-on assignments and mini-projects covering core deep learning concepts, neural networks, and optimization techniques.
About
Highly motivated Computer Science student with 6 semesters completed, specializing in Machine Learning and Deep Learning. Proven ability to deliver real-world AI projects, demonstrated through successful completion of DeepLearning.AI and Coursera certifications. Eager to leverage strong analytical skills and a passion for innovation to contribute effectively to data-driven initiatives at Devsinc DevCamp 2025.
Education
Khwaja Fareed UEIT
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Bachelor of Science
Computer Science
Grade: 3.26/4.0
Courses
Machine Learning
Deep Learning
Data Structures and Algorithms
Database Management Systems
Artificial Intelligence
Computer Vision
Natural Language Processing
Certificates
Machine Learning Specialization
Issued By
Coursera (Andrew Ng)
Deep Learning Specialization
Issued By
Coursera (Andrew Ng)
Tableau Data Visualization Certification
Issued By
Tableau
Database Structures and Management with MySQL
Advance Data Analytics
Issued By
Google (via Coursera)
Skills
Programming Languages
Python, SQL.
Machine Learning & AI
Supervised Learning, Unsupervised Learning, Neural Networks, Model Tuning, Natural Language Processing (NLP), Computer Vision, Large Language Models (LLMs), Prompt Engineering, ML Pipeline.
Deep Learning Frameworks
TensorFlow, Keras, Scikit-learn, PyTorch.
Data Handling & Analysis
Pandas, NumPy, Data Cleaning, Feature Engineering.
Data Visualization
Tableau, Matplotlib, Seaborn.
Databases & Tools
MySQL, Jupyter Notebook, Google Colab, Git.
Projects
Handwritten Digit Classifier
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Summary
Designed and implemented a deep learning model using TensorFlow and Keras to accurately classify handwritten digits.
Air Quality Index (AQI) Prediction & Analysis
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Summary
Developed a predictive model for Air Quality Index (AQI) levels, analyzing diverse pollutants to classify environmental conditions and provide insightful analysis.