157 Open source projects that are alternatives of or similar to cobra

Plain python implementations of basic machine learning algorithms

机器学习-Coursera-吴恩达- python+Matlab代码实现

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

Python code for common Machine Learning Algorithms

An introductory statistics course for social scientists, using Stata

Deep Learning From Scratch

Machine Learning Course @ Santa Clara University

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

Matlab library for gradient descent algorithms: Version 1.0.1

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

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。

A New, Interactive Approach to Learning Python

Python implementation of Andrew Ng's ML course projects

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

A set of machine learning experiments in Clojure

100 Days of ML Coding

machine learning algorithm

Simple machine learning library / 簡單易用的機器學習套件

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

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

Tracking, notes and programming snippets while learning predictive analytics

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

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

Variational Bayes linear and logistic regression

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

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

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

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

a collection of modern sparse (regularized) linear regression algorithms.

bitcoin prediction algorithms

No description or website provided.

15+ Machine/Deep Learning Projects in Ipython Notebooks

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

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

Multiple Regression Package for PHP

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

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.

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.

Benchmarking and Visualization Toolkit for Penalized Cox Models

Basis Function Expansions for Julia

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

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

SecMML: Secure MPC(multi-party computation) Machine Learning Framework

A simple implementation of the LOESS algorithm using numpy

Testing doing basic regression with web assembly

Heart Disease prediction using 5 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…

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

Machine Learning Procedures and Functions for Neo4j

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

Basic Machine Learning implementation with python

🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .

Lesson material on data science and machine learning topics/concepts

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…

Heart Disease Analysis repository

Sentiment Analysis & Topic Modeling with Amazon Reviews

Pipeline for fast building text classification TF-IDF + LogReg baselines.

A sentiment classifier on mixed language (and mixed script) reviews in Tamil, Malayalam and English