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πŸŽ“ 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 πŸ“Š, adeptly handling Data Preprocessing 🧹, conducting Model Training πŸ€–, and harnessing the power of Web Scraping 🌐 through Python Jupyter Notebook and Google Colab, leveraging various Python libraries and frameworks.

Throughout my career, I have actively engaged with the following methodologies:

1️⃣ Data Examination (Leveraging Numpy and Pandas)

2️⃣ Data Representation through Visualizations (Harnessing Matplotlib and Seaborn)

3️⃣ Classification Tasks (Proficient in Sci-kit learn, Pytorch, and others)

4️⃣ Regression Analysis πŸ“ˆ

5️⃣ Clustering Techniques 🧩

6️⃣ Supervised Machine Learning Approaches πŸ‘©β€πŸ’»

7️⃣ Web Scraping Capabilities πŸ•ΈοΈ

Depending on the unique requirements of your project, I will expertly employ a combination of these models:

1️⃣ Linear and Logistic Regression

2️⃣ Decision Trees 🌳

3️⃣ Random Forest 🌲

4️⃣ Support Vector Machines (SVM) 🀝

I am eager to apply my knowledge and skills to address your specific needs, ensuring that your project is completed successfully. 😊

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