537 Open source projects that are alternatives of or similar to ICC-2019-WC-prediction

Python code for common Machine Learning Algorithms

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…

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

100 Days of ML Coding

Statistical inference on machine learning or general non-parametric models

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

🏆 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.

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）

General Assembly's 2015 Data Science course in Washington, DC

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

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

A python library for decision tree visualization and model 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!

An Interactive Approach to Understanding Deep Learning with Keras

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

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

simple tutorial on Machine Learning with Scikitlearn

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

A curated list of data mining papers about fraud detection.

I will update this repository to learn Machine learning with python with statistics content and materials

Machine Learning inference engine for Microcontrollers and Embedded devices

Text Classification Algorithms: A Survey

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

文本分类基准测试

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

🏭 JavaScript Machine Learning Toolkit

Heart Disease prediction using 5 algorithms

Misc Statistics and Machine Learning codes in R

🍊 📊 💡 Orange: Interactive data analysis

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

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

Python Machine Learning Algorithms

A repository for recording the machine learning code

Machine Learning Course @ Santa Clara University

Solution of the Titanic Kaggle competition

The "Python Machine Learning (1st edition)" book code repository and info resource

A python library to build Model Trees with Linear Models at the leaves.

several methods for text classification

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Software platform for clinical neuroimaging studies

NYC scikit-learn sprint (Sep 2018)

NYC WiMLDS scikit-learn open source sprint (Aug 24, 2019)

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

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.

Machine Learning for Spot Prices

A comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.

A Flask API Server with options to get live scores, live commentary and scorecards.

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

Predicting Google’s stock price using regression

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

Using machine learning libraries to analyze NBA data

📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training