122 Open source projects that are alternatives of or similar to theedhum-nandrum

Fake News Detection in Python

Field-aware factorization machine (FFM) with FTRL

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

simple tutorial on Machine Learning with Scikitlearn

TransE方法的Python实现，解释SGD中TransE的向量更新

经典机器学习算法的极简实现

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

Variational Bayes linear and logistic regression

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

Fwumious Wabbit, fast on-line machine learning toolkit written in Rust

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

Python implementation of Andrew Ng's ML course projects

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark

A Python package to build predictive linear and logistic regression models focused on performance and interpretation

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Deep Learning From Scratch

Interactive Visual Machine Learning Demos.

machine learning algorithm

Plain python implementations of basic machine learning algorithms

Predicting the winner of 2019 cricket world cup using random forest algorithm

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

Collection of stats, modeling, and data science tools in Python and R.

Information Retrieval in High Dimensional Data (class deliverables)

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent

Matlab library for gradient descent algorithms: Version 1.0.1

A distributed logistic regression system based on ps-lite.

Quick-Data-Science-Experiments

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

No description or website provided.

📈 Regression and Classification with UC Davis student quiz data and exam data

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

implementation of factorization machine, support classification.

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

100 Days of ML Coding

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

A simple,gentle,humble scripting language for mallus, based on malayalam memes.

Tracking, notes and programming snippets while learning predictive analytics

Distributed Fieldaware Factorization Machines based on Parameter Server

Tool that predicts the outcome of a Dota 2 game using Machine Learning

Chilanka handwriting style Malayalam font

文本分类基准测试

Thirukural in English

A New, Interactive Approach to Learning Python

திருக்குறள் by திருவள்ளுவர்.

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Build a Movie Reviews Sentiment Classifier with Google's BERT Language Model

Gender recognition by voice and speech analysis

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

No description or website provided.

A tour of different optimization algorithms in PyTorch.

[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集，构建以FM和LR为核心的电影推荐系统).

Credit card fraud detection through logistic regression, k-means, and deep learning.

Java version of LIBLINEAR