Iditc / Posts-on-Medium
☆17Updated 3 months ago
Alternatives and similar repositories for Posts-on-Medium:
Users that are interested in Posts-on-Medium are comparing it to the libraries listed below
- References to the Medium articles☆86Updated 2 years ago
- Assorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory☆45Updated 6 years ago
- Quick Implementation in python☆52Updated 5 years ago
- AML End to End Example☆53Updated 2 years ago
- ☆61Updated 10 months ago
- Sell Out Sell In Forecasting project implemented at Nestlé☆23Updated 2 years ago
- Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep tr…☆50Updated last year
- A presention of core concepts and a data generator making easier using tabular data with TensorFlow and Keras☆42Updated 2 years ago
- An implementation of a full two-step recommendation pipeline applied on the Kaggle H&M data☆22Updated 2 years ago
- Machine Learning for Streaming Data with Python, published by Packt☆69Updated last year
- ☆14Updated 2 years ago
- Notebook to walk through Bayesian testing with Kaggle data☆39Updated 3 years ago
- ☆31Updated 10 months ago
- How to Interpret SHAP Analyses: A Non-Technical Guide☆52Updated 3 years ago
- Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"☆55Updated 5 years ago
- Analysis for Customer Segmentation☆69Updated 4 years ago
- This repository provides an example of dataset preprocessing, GBRT (Gradient Boosted Regression Tree) model training and evaluation, mode…☆27Updated 2 years ago
- How to use SHAP values for better cluster analysis☆56Updated 2 years ago
- ☆12Updated 10 months ago
- Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that…☆64Updated 5 years ago
- A curated list of just the right amount of resources on causal inference.☆14Updated 3 years ago
- Example Repo for the Udemy Course "Deployment of Machine Learning Models"☆20Updated 5 years ago
- Portfolio in Python☆43Updated last year
- Talk: Building Robust and Scalable Recommendation Systems for Online Food Delivery☆12Updated last year
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆89Updated last year
- ☆41Updated 4 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆243Updated last year
- ☆44Updated 5 years ago
- Clinical NLP workshop for ODSC☆39Updated 5 years ago
- Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow☆62Updated last year