Tutorial for Decision Threshold In Machine Learning.

Last update: Jan 20, 2022

Related tags

Machine Learning Decision-Threshold-ML

Overview

Decision-Threshold-ML

Tutorial for improve skills: 'Decision Threshold In Machine Learning' (from GeeksforGeeks) by Marcus Mariano

For more information about Marcus Mariano: Web site

Contents

Introduction
Packages
Notebooks
How to Run
Authors
License

Introduction

Tutorial for Decision Threshold In Machine Learning.

Decision Threshold In Machine Learning: GeeksforGeeks

Packages

Builtins
Packages
- Pandas
- Numpy
- sklearn
  - datasets
  - train_test_split
  - SVC
  - classification_report, recall_score, precision_score, accuracy_score
  - precision_recall_curve
  - RandomForestClassifier
Dev-packages

Notebooks

To view notebook with my codes click here

How to Run

Jupyter Notebook Version 6.0.3

Python 3.7.6 (default, Jan  8 2020, 20:23:39) [MSC v.1916 64 bit (AMD64)]
Type 'copyright', 'credits' or 'license' for more information
IPython 7.13.0 -- An enhanced Interactive Python. Type '?' for help.

Authors

Marcus Mariano

License

Code and documentation are available according to the GNU GENERAL PUBLIC LICENSE Version 3 (see LICENSE).

Tutorial for Decision Threshold In Machine Learning.

Related tags

Overview

Decision-Threshold-ML

Introduction

Packages

Notebooks

How to Run

Authors

License

Owner

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning

Multiple Linear Regression using the LinearRegression class from sklearn.linear_model library

Client - 🔥 A tool for visualizing and tracking your machine learning experiments

Laporan Proyek Machine Learning - Azhar Rizki Zulma

FLAML is a lightweight Python library that finds accurate machine learning models automatically, efficiently and economically

Transform ML models into a native code with zero dependencies

A concept I came up which ditches the idea of "layers" in a neural network.

Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort

Test symmetries with sklearn decision tree models

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

Model factory is a ML training platform to help engineers to build ML models at scale

BigDL: Distributed Deep Learning Framework for Apache Spark

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

Graphsignal is a machine learning model monitoring platform.

Drug prediction

Python ML pipeline that showcases mltrace functionality.

This project used bitcoin, S&P500, and gold to construct an investment portfolio that aimed to minimize risk by minimizing variance.

A machine learning toolkit dedicated to time-series data

Machine Learning from Scratch

AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。它的特点包括: 效果出色、简单易用、通用、自动化、灵活。

Tutorial for Decision Threshold In Machine Learning.

Related tags

Overview

Decision-Threshold-ML

Introduction

Packages

Notebooks

How to Run

Authors

License

Owner

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning

Multiple Linear Regression using the LinearRegression class from sklearn.linear_model library

Client - 🔥 A tool for visualizing and tracking your machine learning experiments

Laporan Proyek Machine Learning - Azhar Rizki Zulma

FLAML is a lightweight Python library that finds accurate machine learning models automatically, efficiently and economically

Transform ML models into a native code with zero dependencies

A concept I came up which ditches the idea of "layers" in a neural network.

Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort

Test symmetries with sklearn decision tree models

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

Model factory is a ML training platform to help engineers to build ML models at scale

BigDL: Distributed Deep Learning Framework for Apache Spark

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

Graphsignal is a machine learning model monitoring platform.

Drug prediction

Python ML pipeline that showcases mltrace functionality.

This project used bitcoin, S&P500, and gold to construct an investment portfolio that aimed to minimize risk by minimizing variance.

A machine learning toolkit dedicated to time-series data

Machine Learning from Scratch

AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。 它的特点包括: 效果出色、简单易用、通用、自动化、灵活。

AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。它的特点包括: 效果出色、简单易用、通用、自动化、灵活。