logistic-regression

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Avik-Jain / 100-Days-Of-ML-Code

100 Days of ML Coding

python machine-learning tutorial deep-learning svm linear-regression scikit-learn linear-algebra machine-learning-algorithms naive-bayes-classifier logistic-regression implementation support-vector-machines 100-days-of-code-log 100daysofcode infographics siraj-raval siraj-raval-challenge

Updated Mar 14, 2023

rasbt / python-machine-learning-book

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The "Python Machine Learning (1st edition)" book code repository and info resource

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Updated Aug 29, 2022
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BinRoot / TensorFlow-Book

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

machine-learning reinforcement-learning book clustering tensorflow linear-regression regression classification autoencoder logistic-regression convolutional-neural-networks

Updated Mar 17, 2023
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BoltzmannEntropy / interviews.ai

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It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

python data-science machine-learning deep-learning information-theory jobs pytorch autograd artificial-intelligence feature-extraction ensemble-learning logistic-regression convolutional-neural-networks bayesian-statistics loss-functions interview-preparation pytorch-tutorial graduate-school jax

Updated Jan 21, 2022

zotroneneis / machine_learning_basics

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Plain python implementations of basic machine learning algorithms

python machine-learning algorithm neural-network linear-regression machine-learning-algorithms python3 ipynb neural-networks logistic-regression perceptron kmeans k-nearest-neighbours k-nn k-nearest-neighbor python-implementations

Updated Nov 13, 2022
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susanli2016 / Machine-Learning-with-Python

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Python code for common Machine Learning Algorithms

random-forest svm linear-regression naive-bayes-classifier pca logistic-regression decision-trees lda polynomial-regression kmeans-clustering hierarchical-clustering svr knn-classification xgboost-algorithm

Updated Jun 21, 2022
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kk7nc / Text_Classification

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Text Classification Algorithms: A Survey

deep-learning random-forest text-classification recurrent-neural-networks naive-bayes-classifier dimensionality-reduction logistic-regression document-classification convolutional-neural-networks text-processing decision-trees boosting-algorithms support-vector-machines hierarchical-attention-networks nlp-machine-learning conditional-random-fields k-nearest-neighbours deep-belief-network rocchio-algorithm deep-neural-network

Updated Nov 14, 2022
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justmarkham / DAT8

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

Updated Oct 6, 2022
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benedekrozemberczki / awesome-fraud-detection-papers

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A curated list of data mining papers about fraud detection.

Updated Mar 17, 2023
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nsoojin / coursera-ml-py

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Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

neural-network logistic-regression support-vector-machines coursera-machine-learning principal-component-analysis numpy-exercises anomaly-detection machine-learning-ex1 andrew-ng-course python-ml andrew-ng-machine-learning andrew-ng-ml-course

Updated Sep 2, 2020
Python

greyhatguy007 / Machine-Learning-Specialization-Coursera

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Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

python machine-learning deep-learning neural-network solutions mooc tensorflow linear-regression coursera recommendation-system logistic-regression decision-trees unsupervised-learning andrew-ng supervised-machine-learning unsupervised-machine-learning coursera-assignment coursera-specialization andrew-ng-machine-learning

Updated Dec 11, 2022
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ibrahimjelliti / Deeplearning.ai-Natural-Language-Processing-Specialization

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This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

nlp machine-learning deep-learning naive-bayes coursera neural-networks logistic-regression attention-mechanism neural specialization probabilistic-models encoder-decoder sequence-models deeplearning-ai

Updated Jun 28, 2021
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hollance / TensorFlow-iOS-Example

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Source code for my blog post "Getting started with TensorFlow on iOS"

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Updated Mar 6, 2017
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nishitpatel01 / Fake_News_Detection

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Fake News Detection in Python

python text-mining text-classification text-analysis classification logistic-regression fake-news svm-classifier fakenewsdetection

Updated Dec 9, 2022
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andreiapostoae / dota2-predictor

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Tool that predicts the outcome of a Dota 2 game using Machine Learning

machine-learning gaming neural-network prediction dota2 logistic-regression dota

Updated Dec 8, 2022
Python

kanyun-inc / ytk-learn

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Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

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Updated Jul 6, 2022
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tsuirak / deeplearning.ai

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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。

machine-learning deep-learning naive-bayes natural-language linear-regression keras coursera logistic-regression k-means svm-classifier andrew-ng keras-tensorflow tensorflow2

Updated Feb 1, 2023
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Skylark0924 / Machine-Learning-is-ALL-You-Need

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🔥🌟《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!