All Projects → Machine_Learning_From_Scratch → Similar Projects or Alternatives

608 Open source projects that are alternatives of or similar to Machine_Learning_From_Scratch

supervised-machine-learning
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…
Stars: ✭ 34 (+126.67%)
Fuku Ml
Simple machine learning library / 簡單易用的機器學習套件
Stars: ✭ 280 (+1766.67%)
Statistical-Learning-using-R
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.
Stars: ✭ 27 (+80%)
The Deep Learning With Keras Workshop
An Interactive Approach to Understanding Deep Learning with Keras
Stars: ✭ 34 (+126.67%)
Machine Learning With Python
Python code for common Machine Learning Algorithms
Stars: ✭ 3,334 (+22126.67%)
Text classification
Text Classification Algorithms: A Survey
Stars: ✭ 1,276 (+8406.67%)
Machine Learning Is All You Need
🔥🌟《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!
Stars: ✭ 173 (+1053.33%)
C4.5
A python implementation of C4.5 algorithm by R. Quinlan
Stars: ✭ 51 (+240%)
Mutual labels:  classification, decision-trees
click-through-rate-prediction
📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms
Stars: ✭ 60 (+300%)
IBM-final-project-Machine-Learning
Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera
Stars: ✭ 33 (+120%)
Breast-Cancer-Scikitlearn
simple tutorial on Machine Learning with Scikitlearn
Stars: ✭ 33 (+120%)
Dat8
General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+10006.67%)
Machine learning
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Stars: ✭ 161 (+973.33%)
Amazon-Fine-Food-Review
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
Stars: ✭ 28 (+86.67%)
AdaptiveRandomForest
Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
Stars: ✭ 28 (+86.67%)
Mutual labels:  classification, decision-trees
Orange3
🍊 📊 💡 Orange: Interactive data analysis
Stars: ✭ 3,152 (+20913.33%)
Mutual labels:  classification, decision-trees
Fake news detection
Fake News Detection in Python
Stars: ✭ 194 (+1193.33%)
ml
经典机器学习算法的极简实现
Stars: ✭ 130 (+766.67%)
Jsmlt
🏭 JavaScript Machine Learning Toolkit
Stars: ✭ 22 (+46.67%)
df-dn-paper
Conceptual & empirical comparisons between decision forests & deep networks
Stars: ✭ 14 (-6.67%)
Mutual labels:  classification, decision-trees
Tensorflow Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Stars: ✭ 4,448 (+29553.33%)
Awesome Fraud Detection Papers
A curated list of data mining papers about fraud detection.
Stars: ✭ 843 (+5520%)
Sporf
This is the implementation of Sparse Projection Oblique Randomer Forest
Stars: ✭ 70 (+366.67%)
Mutual labels:  classification, decision-trees
Machine Learning With Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+14546.67%)
Mutual labels:  classification, decision-trees
SGDLibrary
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
Stars: ✭ 165 (+1000%)
100 Days Of Ml Code
100 Days of ML Coding
Stars: ✭ 33,641 (+224173.33%)
STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA
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
Stars: ✭ 94 (+526.67%)
Machine-Learning-Models
In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
Stars: ✭ 30 (+100%)
Machine-Learning-Andrew-Ng
机器学习-Coursera-吴恩达- python+Matlab代码实现
Stars: ✭ 127 (+746.67%)
scoruby
Ruby Scoring API for PMML
Stars: ✭ 69 (+360%)
Mutual labels:  classification, decision-tree
Loan-Approval-Prediction
Loan Application Data Analysis
Stars: ✭ 61 (+306.67%)
Credit
An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
Stars: ✭ 18 (+20%)
Machine Learning Models
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
Stars: ✭ 160 (+966.67%)
Data Science Toolkit
Collection of stats, modeling, and data science tools in Python and R.
Stars: ✭ 169 (+1026.67%)
Quick-Data-Science-Experiments-2017
Quick-Data-Science-Experiments
Stars: ✭ 19 (+26.67%)
Data-Mining-and-Warehousing
Data Mining algorithms for IDMW632C course at IIIT Allahabad, 6th semester
Stars: ✭ 19 (+26.67%)
VisualML
Interactive Visual Machine Learning Demos.
Stars: ✭ 104 (+593.33%)
Mutual labels:  logistic-regression
immuneML
immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.
Stars: ✭ 41 (+173.33%)
Mutual labels:  classification
knodle
A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.
Stars: ✭ 76 (+406.67%)
Mutual labels:  classification
sklearn-oblique-tree
a python interface to OC1 and other oblique decision tree implementations
Stars: ✭ 33 (+120%)
Mutual labels:  decision-tree
ssj
Social Signal Processing for Android
Stars: ✭ 24 (+60%)
Mutual labels:  classification
YOLOv1 tensorflow
YOLOv1 tensorflow
Stars: ✭ 14 (-6.67%)
Mutual labels:  classification
machine learning from scratch matlab python
Vectorized Machine Learning in Python 🐍 From Scratch
Stars: ✭ 28 (+86.67%)
Mutual labels:  classification
Fraud-Detection-in-Online-Transactions
Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting
Stars: ✭ 41 (+173.33%)
Mutual labels:  classification
ICC-2019-WC-prediction
Predicting the winner of 2019 cricket world cup using random forest algorithm
Stars: ✭ 41 (+173.33%)
Mutual labels:  logistic-regression
Machine-Learning-Projects-2
No description or website provided.
Stars: ✭ 23 (+53.33%)
Mutual labels:  naive-bayes-classifier
aws-machine-learning-university-dte
Machine Learning University: Decision Trees and Ensemble Methods
Stars: ✭ 119 (+693.33%)
Mutual labels:  decision-trees
classification
Catalyst.Classification
Stars: ✭ 35 (+133.33%)
Mutual labels:  classification
ugtm
ugtm: a Python package for Generative Topographic Mapping
Stars: ✭ 34 (+126.67%)
Mutual labels:  classification
NN-scratch
Coding up a Neural Network Classifier from Scratch
Stars: ✭ 78 (+420%)
Mutual labels:  classification
Point2Sequence
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
Stars: ✭ 34 (+126.67%)
Mutual labels:  classification
Classification Nets
Implement popular models by different DL framework. Such as tensorflow and caffe
Stars: ✭ 17 (+13.33%)
Mutual labels:  classification
NIPS-Global-Paper-Implementation-Challenge
Selective Classification For Deep Neural Networks.
Stars: ✭ 11 (-26.67%)
Mutual labels:  classification
ProtoTree
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
Stars: ✭ 47 (+213.33%)
Mutual labels:  decision-trees
Machine-Learning-Specialization
Project work and Assignments for Machine learning specialization course on Coursera by University of washington
Stars: ✭ 27 (+80%)
Mutual labels:  classification
textlearnR
A simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.
Stars: ✭ 16 (+6.67%)
Mutual labels:  classification
ml-workflow-automation
Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.
Stars: ✭ 44 (+193.33%)
Mutual labels:  classification
newt
Natural World Tasks
Stars: ✭ 24 (+60%)
Mutual labels:  classification
Bike-Sharing-Demand-Kaggle
Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand
Stars: ✭ 33 (+120%)
Mutual labels:  decision-trees
1-60 of 608 similar projects