Machine Learning Algorithm Development

+

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