sandipanpaul21 / Logistic-regression-in-pythonLinks
Logistic Regression technique in machine learning both theory and code in Python. Includes topics from Assumptions, Multi Class Classifications, Regularization (l1 and l2), Weight of Evidence and Information Value
☆18Updated 4 years ago
Alternatives and similar repositories for Logistic-regression-in-python
Users that are interested in Logistic-regression-in-python are comparing it to the libraries listed below
Sorting:
- Code repository for the online course Machine Learning Interpretability☆30Updated last year
- Code repository for the online course Feature Engineering for Machine Learning☆409Updated 2 years ago
- Code repository for the online course "Feature Engineering for Time Series Forecasting".☆198Updated 2 years ago
- Code repository for the online course Feature Selection for Machine Learning☆342Updated last year
- References to the Medium articles☆86Updated 3 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆220Updated this week
- Code repository for the online course Machine Learning with Imbalanced Data☆186Updated last year
- credit-risk-modeling☆32Updated 4 years ago
- This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, an…☆84Updated last year
- Slides for "Feature engineering for time series forecasting" talk☆66Updated 3 years ago
- Interpretable Machine Learning with Python, published by Packt☆475Updated this week
- A collection of resources for learning and research.☆97Updated 8 months ago
- Applied Machine Learning Explainability Techniques, published by Packt☆248Updated last month
- Code repository for the book feature selection in machine learning☆40Updated 9 months ago
- Code repository for "Modern Statistics: A Computer Based Approach with Python" and "Industrial Statistics: A Computer Based Approach with…☆108Updated 2 months ago
- Timeseries for everyone☆263Updated 2 years ago
- Python Feature Engineering Cookbook, published by Packt☆487Updated last month
- Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Python☆66Updated 6 months ago
- Python tutorial on machine learning with time series for DSSGx 2020☆23Updated 5 years ago
- Cleaning Data for Effective Data Science, published by Packt☆102Updated last month
- This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJ…☆265Updated 3 years ago
- A collection of tutorials for different machine learning tasks☆63Updated 3 years ago
- ☆37Updated 4 years ago
- In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calcul…☆241Updated 3 years ago
- Data Visualization Tutorial | Matplotlib | Seaborn | Pandas☆58Updated 2 years ago
- B21145 - Deep Learning for Time Series Data Cookbook☆73Updated last month
- Python-based Jupyter notebooks, notes, and project solutions from DataCamp courses on data science, machine learning, and statistics.☆95Updated last month
- Predicting how capable each applicant is of repaying a loan (Kaggle Challenge)☆12Updated 3 years ago
- Machine Learning for Time-Series with Python.Published by Packt☆306Updated last month
- Code repository for the online course Hyperparameter Optimization for Machine Learning☆139Updated last year