• Programming languages: Python, R, HTML, CSS
• Visualisation Tools: Tableau, PowerBI
• Libraries: NumPy, Pandas, Matplotlib, BeautifulSoup, plotly, Seaborn, Plotly, Keras, Pytorch, Tensorflow, nltk
• Machine Learning: Linear Regression, Logistic Regression, Decision Trees, Random Forest, Support Vector Machines, K-nearest neighbour, Computer Vision, Natural Language Processing
• Databases: SQL, MongoDB.
• Frontend-frameworks: Flask.
• Version Control Systems: GIT
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