- Python, C/C++, Java (Basics)
- Git & GitHub, HTML, CSS
- NumPy, Pandas, Matplotlib, scikit-learn
Planning to Learn:
- TensorFlow, Keras, NLP (spaCy, NLTK)
- Cloud Platforms (AWS, GCP), MLOps basics 3.Web Deployment (Flask, Streamlit), Docker
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Fake News Detection : NLP-based classification model using CountVectorizer + Logistic Regression. Preprocessed data with stopwords removal and tokenization.
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Handwritten Digit Recognition (MNIST): Built a basic CNN using Keras for digit classification. Achieved over 98% accuracy on test data.
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Student Performance Predictor : Created a machine learning model to predict students’ final grades based on study hours, attendance, and parental support.
- Python for Data Science (IBM – Coursera)
- Machine Learning by Andrew Ng (Coursera)
- AI for Everyone – Coursera
- AWS Cloud Practitioner Essentials (in progress)