Natural Language Processing
Description
π I hold a degree in Software Engineering and have accumulated over two years of experience in the realm of Machine Learning and Deep Learning. My expertise encompasses a wide array of tasks, including programming in Python, tackling Machine Learning and Deep Learning challenges, crafting engaging Data Visualizations π, adeptly handling Data Preprocessing π§Ή, conducting Model Training π€, and harnessing the power of Web Scraping π through Python Jupyter Notebook and Google Colab, leveraging various Python libraries and frameworks.
Throughout my career, I have actively engaged with the following methodologies:
1οΈβ£ Data Examination (Leveraging Numpy and Pandas)
2οΈβ£ Data Representation through Visualizations (Harnessing Matplotlib and Seaborn)
3οΈβ£ Classification Tasks (Proficient in Sci-kit learn, Pytorch, and others)
4οΈβ£ Regression Analysis π
5οΈβ£ Clustering Techniques π§©
6οΈβ£ Supervised Machine Learning Approaches π©βπ»
7οΈβ£ Web Scraping Capabilities πΈοΈ
Depending on the unique requirements of your project, I will expertly employ a combination of these models:
1οΈβ£ Linear and Logistic Regression
2οΈβ£ Decision Trees π³
3οΈβ£ Random Forest π²
4οΈβ£ Support Vector Machines (SVM) π€
I am eager to apply my knowledge and skills to address your specific needs, ensuring that your project is completed successfully. π