Basic Machine Learning implementation with python
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Updated
Jul 1, 2020 - Jupyter Notebook
Basic Machine Learning implementation with python
Predicting gender of given Chinese names (93~99% test set accuracy). 预测中文姓名的性别(93~99%的测试集准确率)。
Logistic Regression technique in machine learning both theory and code in Python. Includes topics from Assumptions, Multi Class Classifications, Regularization (l1 and l2), Weight of Evidence and Information Value
Multi class and Binary Classification through Logistic Regression and SVM
The projects are part of the graduate-level course CSE-574 : Introduction to Machine Learning [Spring 2019 @ UB_SUNY] . . . Course Instructor : Mingchen Gao (https://cse.buffalo.edu/~mgao8/)
Implementation and analysis of core Machine Learning Algorithms from scratch.
Using classic machine learning models - K-NN, Multiclass Logistic Regression, SVM and Random Forest to make predictions
Image Classification, Image Feature Extraction, CNNs, Finetuning, Resnet18, Torchvision, Multi-Class Logistic Regression
Investigated how multi-class logistic regression would perform if the activation function was changed from softmax to sigmoid. It included mathematical analysis and empirical evaluation, such as rewriting the model from scratch. Tech: Python (scikit-learn, pandas)
This project aims to predict customer booking behaviors by classifying them into three categories: Booked and Canceled Booked and Checked Out Booked and Did Not Show
Multiclass logistic regression implementation from scratch
Employee Task management and review system for EinNell Expound Hackathon 2019
💵Model Peruvian Bills (MLR, Mask, Inceptionv2) RCNN💶
An NLP model that can predict the probability for each type of toxicity of comments.
Implementation of Trust Region and Gradient Descent methods for Multinomial Regression
A multi class persian text classification using logistic regression
We investigated the performance of the Logistic and Multiclass Regression models and compared their accuracies to KNN. We compared Logistic Regression and KNN based on the "IMdB reviews" dataset, while Multiclass Regression and KNN were compared based on the "20 news groups" dataset.
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