WAGMA-SGD is a decentralized asynchronous SGD based on wait-avoiding group model averaging. The synchronization is relaxed by making the collectives externally-triggerable, namely, a collective can b
ArviZ (pronounced "AR-vees") is a Python package for exploratory analysis of Bayesian models. Includes functions for posterior analysis, data storage, model checking, comparison and diagnostics
Predict the output which should give a fair idea about the chances of admission for a student for a particular university.
Customer Segmentation with RFM Scores and K-means RFM Segmentation table: K-Means Clustering: Business Problem Rule-based customer segmentation machin
Built various Machine Learning algorithms (Logistic Regression, Random Forest, KNN, Gradient Boosting and XGBoost. etc). Structured a custom ensemble model and a neural network. Found a outperformed
machine_learning_examples A collection of machine learning examples and tutorials.
High performance Python GLMs with all the features!
Demand-Forecasting Business Problem A chain of stores, 10 different stores and 50 different requests a 3-month demand forecast for its product.
scikit-tensor is a Python module for multilinear algebra and tensor factorizations
Predict profitability of trades based on indicator buy / sell signals Trade profitability analysis for trades based on various indicators signals: MAC
Dive into Machine Learning Hi there! You might find this guide helpful if: You know Python or you're learning it 🐍 You're new to Machine Learning You
dsnk-distributions package dsnk distribution is a Python module for data science and machine learning that was created with the goal of reducing calcu
Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores
Bayesian Modeling and Computation in Python Open access and Code This repository contains the open access version of the text and the code examples in
Simple Keyword Clusterer A simple machine learning package to cluster keywords in higher-level groups. Example: "Senior Frontend Engineer" -- "Fronte
Machine Learning Videos This is a collection of recorded talks at machine learning conferences, workshops, seminars, summer schools, and miscellaneous
Feature-Engineering Required for a machine learning pipeline data preprocessing and variable engineering script needs to be prepared. When the dataset
Python Causal Impact Causal inference using Bayesian structural time-series models. This package aims at defining a python equivalent of the R CausalI
Polyglot Machine Learning example for scraping similar news articles In this example, we will see how we can work with Machine Learning applications w
Python Extreme Learning Machine (ELM) Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.
6 Jun 18, 2022
1.3k Jan 05, 2023
1 Jan 11, 2022
5 Aug 10, 2022
1 Feb 06, 2022
7.1k Jan 01, 2023
200 Dec 14, 2022
3 Mar 06, 2022
394 Dec 09, 2022
1 Dec 15, 2021
11.1k Jan 03, 2023
1 Nov 23, 2021
95 Dec 28, 2022
339 Jan 02, 2023
10 Dec 18, 2022
1.5k Dec 29, 2022
5 Apr 21, 2022
219 Dec 11, 2022
15 Mar 28, 2022
84 Nov 25, 2022