/ML-courses

Data Science, Machine Learning, and Deep Learning Courses

Primary LanguageJupyter Notebook

ML-courses

Work on Courses in Data Science, ML, and Deep Learning.

Courses:

  1. Data Analysis with Python
  2. Data Visualization with Python
  3. Machine Learning with Python
  4. Introduction to Deep Learning & Neural Networks with Keras
  5. Building Deep Learning Models with TensorFlow
  6. Kaggle: Intro to Deep Learning
  7. Kaggle: Computer Vision - CNNs
  8. Kaggle Competition Lessons
  9. QAT Notes
  10. TF Data Pipelines
  11. Misc. TF/Keras Notes and Cookbook

Jupyter Notebook Cheat sheet

Steps to run:

  • conda env create --file environment_ml.yml or conda env create --file environment_dl.yml
  • conda activate ml or conda activate dl
  • jupyter labextension install @jupyter-widgets/jupyterlab-manager Source 1, Source 2
  • jupyter-lab

To update conda env from .yml file:

conda activate ml # or dl
conda env update --file environment_ml.yml