Algo-Phantoms/Algo-ScriptML
Scripts of Machine Learning Algorithms from Scratch. Implementations of machine learning models and algorithms using nothing but NumPy with a focus on accessibility. Aims to cover everything from basic to advance.
PythonMIT
Pinned issues
Issues
- 0
Fisher's Linear Discriminant Analysis
#212 opened by lazybug19 - 2
Elastic Net Regression - Documentation
#195 opened by Manasi2001 - 3
Feature Selection Techniques
#130 opened by Dishita2602 - 0
Digit_Recognizer_using_ANN
#210 opened by Anubhavdevv - 1
Markov's Chain Documentation
#201 opened by Dishita2602 - 6
Markov's Chain
#178 opened by Aparna-Sakshi - 1
Spectral Clustering - Base
#204 opened by Manasi2001 - 18
Clustering Documentation
#121 opened by sakshi012000 - 5
Add Convolution Neural Network
#202 opened by prathimacode-hub - 11
Cross Validation from scratch
#114 opened by rakshakannu - 2
Q-Learning - Documentation
#163 opened by keshav2508 - 11
Catboost Documentation
#129 opened by aman503 - 2
Pruning of neural network
#191 opened by Atul-Kashyap - 3
Markov's Chain Documentation
#197 opened by Dishita2602 - 1
Lowess Regression - Documentation
#196 opened by Manasi2001 - 1
- 4
Update Readme.md for GA
#181 opened by Dishita2602 - 1
I want to add Read me for genetic algorithm
#183 opened by Ashishsingh619 - 4
FP Growth Documentation
#170 opened by nikitajangid33 - 11
Multiple Linear Regression - Base
#138 opened by mgncodes - 13
Batch-gradient descent
#139 opened by Sibasish-Padhy - 6
Hierarchical Clustering: Counting the number of clusters from dendrogram
#131 opened by akhileshthite - 6
Readme for Apriori Algorithm
#137 opened by mgncodes - 1
Gaussian Mixture Model Code in python
#174 opened by vinc3nati - 1
Add Code for Naïve Bayes Algorithm
#176 opened by Manasi2001 - 1
Add Random Forest with hyperparameter tuning
#171 opened by Dishita2602 - 1
Multi Layer Perceptron Code implementation
#182 opened by ayush237 - 2
Simple Classification using RNN
#133 opened by anonymous17022000 - 7
Dimensionality Reduction Algorithm
#154 opened by vinc3nati - 1
Add XG Boost with hyperparameter tuning
#169 opened by Dishita2602 - 2
Add Decision Tree Regressor
#172 opened by Dishita2602 - 1
README for 'Preprocessing' Folder
#185 opened by Manasi2001 - 8
Gaussian Mixture Model - Documentation
#142 opened by surbhi2408 - 1
Add Code for K-means.
#179 opened by ainy-123 - 0
LightGBM Documentation
#157 opened by Simar05519 - 2
SVM -Documentation
#180 opened by ainy-123 - 0
Add Code for SVM
#177 opened by Manasi2001 - 4
Hidden Markov Models - Implementation
#124 opened by kad99kev - 1
Dimensionality Reduction
#173 opened by nidhivanjare - 1
LightGBM documentation
#156 opened by aman503 - 1
AdaBoost Algorithm for Regression
#136 opened by mgncodes - 1
- 7
Update Naive Bayes Documentation
#117 opened by namaannn - 1
- 1
Support Vector Machine - Documentation
#120 opened by surbhi2408 - 1
AutoEncoders - Documentation
#135 opened by Tarun-Kamboj - 1
Random Forest algorithm
#146 opened by shivangi-pandey - 1
Adding code to K-Nearest Neighbours Folder
#147 opened by Ishan-Tewari - 1
Gradient Descent Documentation
#122 opened by AasthaCodex - 1
Activation Function Documentation
#123 opened by AasthaCodex