RoboticsClubIITJ / ML-DL-implementation

An implementation of ML and DL algorithms from scratch in python using nothing but NumPy and Matplotlib.

RoboticsClubIITJ/ML-DL-implementation Issues

Implement Decision Tree Regressor and Random Forest Regressor
Updated a year ago2
Bug detected in Mean Squared Logarithmic Loss Function
Updated a year ago
Correction in Docstrings of Loss Functions
Updated a year ago
Implement Linear Discriminant Analysis
Updated a year ago13
Implement various Hypothesis Tests as Statistically Significant Metrics
Updated 2 years ago2
Add other Distance-based Cost Metrics into a Single Python Class File
Updated 2 years ago3
Implementing other "Anomaly Detection" Methods
Updated 3 years ago1
Creative and Newer Format for "Algorithms / Domain" Detail Tables, in ReadMe
Updated 3 years ago1
Implement other types of Boosting Techniques
Updated 3 years ago
Implement Bagging Classifier and Regressor
Updated 3 years ago
Incorporate "Pandas Library Support" ,for inputting the data
Closed 3 years ago1
Implement Hidden Markov Model
Updated 3 years ago
Adaboost Classifier and Regressor implementation from scratch
Updated 3 years ago1
Implement KNN Classifier
Closed 3 years ago2
Implementing Optimizers
Updated 3 years ago
Splitting Models.py into Multiple py Files, according to Domain of Learning
Updated 3 years ago
Requirement of Graphs, corresponding to each of the Implemented Machine-Learning Models
Updated 3 years ago10
Implementing other "Advanced Clustering / Unsupervised Learning" Models
Updated 3 years ago1
Implement Complement Naive Bayes and Categorical Naive Bayes Models
Updated 3 years ago
Changes in loss functions
Closed 3 years ago
Incorporate Tensor class in every model.
Updated 3 years ago
Implementing "Feature Scaling and Normalization Techniques" for Utility to Input Dataset
Closed 3 years ago1
Implement Ridge regression a.k.a L2 Regularization
Closed 3 years ago4
Implement Lasso regression a.k.a L1 Regularization
Closed 3 years ago2
Implement "Divisive Hierarchical Clustering"
Closed 3 years ago6
Implementing other "Optimized Gradient Descent Variants"
Updated 3 years ago
Implement "Agglomerative Hierarchical Clustering"
Closed 3 years ago10
Implementation of Bayesian optimization
Closed 3 years ago6
Necessities of Score Metrics, for evaluation of ML Classifier Models
Closed 3 years ago7
Implement "Numerical outlier method" , to detect Anomaly/Outlier points in Dataset
Closed 3 years ago19
Update Algorithms implemented table in Readme
Closed 3 years ago3
EXTEND THE MODEL OF LINEAR REGRESSION INTO MULTI VARIABLE DATA
Closed 3 years ago1
Adding Tests for the repo
Closed 3 years ago7
Convert Activations from simple functions to classes and add gradient method.
Closed 3 years ago8
Implement autograd.
Closed 3 years ago1
[Bug report] Test error
Closed 3 years ago4
Wrap all numpy arrays as an Tensor class.
Closed 3 years ago5
Improve Readme
Closed 3 years ago17
Add contributing.md file
Closed 3 years ago3
Contributors Image In Readme
Closed 3 years ago1
Wrong function in script activation.py
Closed 3 years ago2
Other variants of Relu can be added in the script activation.py
Closed 3 years ago4
Add PCA algorithm
Closed 3 years ago3
Add issue template
Closed 3 years ago2
Support vector machine (SVM) with kernels (Linear, Poly, RBF)
Closed 3 years ago1
Principal component analysis (PCA)
Closed 3 years ago2
Add Linear_Regression_using_PyTorch
Closed 3 years ago3
Code of Conduct
Closed 3 years ago6
Add pull request template
Closed 3 years ago1
Inclusion of parameter α in leakyRelu
Closed 3 years ago