What it is? 💡 It's a resume from Machine Learning Specialization Course from Stanford, the Jovian Course Machine Learning with Scikit-Learn: Zero to GBMs and the Deep Learning with PyTorch: Zero to GANs. Why did you build this project? 💡 It was partly a bootcamp project to achieve the highest possible score in the E-commerce dataset. But I'll use it as a kaggle notebook repository.

What was my motivation? 💡 I know Python very well, but I'd like to have a solid foundation in supervise and unsupervise learning. On the other hand, it is a good starting point for Deep Learning and AI. What did you learn? 💡 Libraries such as Pandas, Scikit-Learn, and PyTorch; Machine Learning supervised learning, unsupervised learning, recommender systems, and reinforcement learning. Best practices for Jupyter notebooks. However, the gem of this repo is practical advice for using learning algorithms.

• Datathon
  • Project Description
  • Table of Contents
  • Datasets
    • 1. From Kaggle.
    • 2. Other sources
  • All machine learning models explained or learned
    • 1. Linear regression (/ML-Models-Learned/Linear-Regression.ipynb)
    • 2. Logistic regression (/ML-Models-Learned/Logistic-Regression.ipynb)
    • 3. Decision trees (/ML-Models-Learned/Decision-Tree.ipynb)
    • 4. Random forests
    • 5. Gradient boosting
    • 5. Gradient descent
    • 5. Multilayer neural networks
    • 5. Convolutional neural network
  • How to run
    • 1. Localy
    • 2. Streamlit
  • + Info
  • Licence GNU GPLv3

1. E-Commerce Shipping Data
2. Life-Expectancy

• (/ML-Models-Learned/Linear-Regression.ipynb)

• (/ML-Models-Learned/Logistic-Regression.ipynb)

• (/ML-Models-Learned/Decision-Tree.ipynb)

• You'll need to fork and clone the repo.
• Create a env with python3 -m venv ./venv We can also use Conda.
• Let's install the requirements as follows pip install -r requeriments/dev.txt.
• To activate venv source venv/bin/activate.
• Run jupyter jupyter-notebook or jupyter-lab.
• To deactivate deactivate.

• How to create a virtual enviroment in python
• How to load more than 100mb and csv files to Git LFS
• How to install Git LFS to ubuntu
• How to install Git LFS to ubuntu
• machine learning with python zero to gbms
• deep learning with pytorch zero to gans
• www.coursera.org learn machine learning