With over 3 years of experience in Machine Learning and Deep Learning, I specialize in a variety of Python-based applications, including Data Analysis, Data Visualization, Data Preprocessing, Model Training, and Web Scraping. I work extensively with tools like Jupyter Notebook and Google Colab and leverage multiple Python libraries and frameworks.
Key Areas of Expertise:
- Data Analysis: Numpy, Pandas
- Data Visualization: Matplotlib, Seaborn
- Machine Learning Techniques:
- Classification (using Scikit-Learn, PyTorch, etc.)
- Regression
- Clustering
- Supervised Machine Learning
- Web Scraping
Machine Learning Models I Implement:
- Linear and Logistic Regression
- Decision Trees
- Random Forest
- Support Vector Machines (SVM)
- Naive Bayes
- K-Nearest Neighbors (KNN)
- Gradient Boosting Algorithms
- Ensemble Methods
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN) with LSTM
- Time Series Analysis
- Natural Language Processing (NLP)
Services Offered:
- Data Preprocessing
- Text Preprocessing
- Data Visualization
- Sentiment Analysis
- Machine Learning & Deep Learning Model Training
- Comprehensive Data Analysis
Tools I Use:
- Python
- Jupyter Notebook
- Google Colab