Update Data Science Environment

This code update involves changes to the Makefile and Pipfile, as well as updates to the Docker configuration. The Makefile now uses the mambaforge environment instead of miniforge3 for Python package management. The Pipfile has been updated with newer versions of various Python packages, including autots, black, feast, gitlabdata, gitlabds, ipywidgets, jupyterlab, jupyterlab_code_formatter, jupyterlab-execute-time, jupyterlab_git, jupyterlab_templates, keras, line-profiler, mlflow, numba, numpy, optuna, pandas, papermill, plotly, pyodbc, python-dotenv, scikit-learn, scipy, shap, snowflake-connector-python, snowflake-sqlalchemy, sqlalchemy, sympy, tensorflow, xgboost, and ydata-profiling.