Machine Learning Algorithm Development

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Full projects :

• Importing data from various sources (CSV, Excel, XLS, etc.)
• Cleaning and pre-processing the data
• Filtering, aggregation, joining, handling outliers, and missing values
• Data visualization
• Machine learning and data analysis using Python
• Classification and regression problems
• Clustering problems (KMeans, DBSCAN, HDBSCAN, Hierarchical Clustering, etc.)
• Data analysis using Pandas and Numpy
• Data visualization using Matplotlib and Seaborn
• Predictive modeling



·      Natural language Preprocessing (NLP)

·      Sentiment analysis

·      Optimization

·      Mathematics