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156 search results found

Python Machine Learning Book ⭐ 11,645

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

Machine_learning_basics ⭐ 3,754

Plain python implementations of basic machine learning algorithms

Machine Learning Specialization Coursera ⭐ 2,082

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

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

Deeplearning.ai Natural Language Processing Specialization ⭐ 523

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

Coursera Deep Learning ⭐ 491

Solutions to all quiz and all the programming assignments!!!

Recsys_core ⭐ 268

[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集，构建以FM和LR为核心的电影推荐系统).

Numerai ⭐ 266

Code from my experiments on Numerai

Fake_news_detection ⭐ 251

Fake News Detection in Python

The Python Workshop ⭐ 245

A New, Interactive Approach to Learning Python

Machine Learning Notebooks ⭐ 241

Machine Learning notebooks for refreshing concepts.

Machine_learning ⭐ 183

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Machine Learning ⭐ 161

This repository contains implementations of all Machine Learning Algorithms from scratch in Python. Mathematics required for ML and many projects have also been included.

Tensorflow Ml Nlp ⭐ 157

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Machine_learning_2018 ⭐ 146

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

Deeplearning.ai ⭐ 139

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。

Coursera Machine Learning Specialization ⭐ 120

2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments

Deeplearning ⭐ 120

Deep Learning From Scratch

Amazon Product Recommender System ⭐ 113

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Ds_and_ml_projects ⭐ 110

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Ml Fraud Detection ⭐ 93

Credit card fraud detection through logistic regression, k-means, and deep learning.

Loandefault Prediction ⭐ 92

Lending Club Loan data analysis

Stock Return Prediction Using Knn Svm Guassian Process Adaboost Tree Regression And Qda ⭐ 85

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

Logistic_regression ⭐ 79

This is the code for "Logistic Regression" By Siraj Raval on Youtube

Logistic_regression_newtons_method ⭐ 71

This is the code for "Logistic Regression - The Math of Intelligence (Week 2)" By SIraj Raval on Youtube

Brihaspati ⭐ 66

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

Mnist Challenge ⭐ 64

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

Isl Python ⭐ 50

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Heart_disease_prediction ⭐ 49

Heart Disease prediction using 5 algorithms

25daysinmachinelearning ⭐ 48

I will update this repository to learn Machine learning with python with statistics content and materials

Machine_learning_course ⭐ 44

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

Aiml Projects ⭐ 44

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

The Deep Learning With Keras Workshop ⭐ 40

An Interactive Approach to Understanding Deep Learning with Keras

Icc 2019 Wc Prediction ⭐ 39

Predicting the winner of 2019 cricket world cup using random forest algorithm

Overview And Benchmark Of Traditional And Deep Learning Models In Text Classification ⭐ 38

Augmented Interpretable Models ⭐ 35

Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.

Machine_learning_cpp ⭐ 33

Machine Learning C++

Predicting Football Match Outcome Using Machine Learning ⭐ 29

Football Match prediction using machine learning algorithms in jupyter notebook

Breast Cancer Scikitlearn ⭐ 27

simple tutorial on Machine Learning with Scikitlearn

Ai Ml Ds Learning Series ⭐ 26

Collection of all Machine Learning and Deep Learning algorithms which would be helpful for beginners

Nymp_2018 ⭐ 26

A Python package to build predictive linear and logistic regression models focused on performance and interpretation

Info Retrieval ⭐ 25

Information Retrieval in High Dimensional Data (class deliverables)

Tensorflow Ml ⭐ 24

Different machine learning algorithms implementation in Tensorflow

Mathematical Modeling ⭐ 23

A sharing of the learning process of mathematical modeling 数学建模常用工具模型算法分享：数学建模竞赛优秀论文，数学建模常用算法模型，LaTeX论文模板，SPS

Detecting Malicious Url Machine Learning ⭐ 23

Airline Passenger Satisfaction ⭐ 21

Determining the important factors that influences the customer or passenger satisfaction of an airlines using CRISP-DM methodology in Python and RapidMiner.

Multimodal Sentiment Analysis ⭐ 20

Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.

Machine_learning_problems ⭐ 20

This repository contains end-to-end solutions for standard machine learning problems and problem statements shared in interviews

The Data Analysis Workshop ⭐ 18

A New Interactive Approach to Learning Data Analysis

Fudanuniversity Datamining ⭐ 18

2020 Spring Fudan University Data Mining Course HW by prof. Zhu Xuening. 复旦大学大数据学院2020年春季课程-数据挖掘（DATA620007）包含数据挖掘算法模型：Line Regression Model、Logistic Regression Model、Linear Discriminant Analysis、K-Nearest Neighbour、Naive Bayes Classifier、Decision Tree Model、AdaBoost、Gradient Boosting Decision Tree(GBDT)、XGBoost、Random Forest Model、Support Vector Machine、Principal Component Analysis(PCA)

Coursera Deeplearning.ai Stanford University Machine Learning Specialization ⭐ 18

This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.

Malware Detection Using Machine Learning ⭐ 18

Anomaly based Malware Detection using Machine Learning (PE and URL)

Amazon Reviews ⭐ 17

Sentiment Analysis & Topic Modeling with Amazon Reviews

Учебные материалы по курсам связанным с Машинным обучением, которые я читаю в УрФУ. Презентации, блокноты ipynb, ссылки

Deeplearning ⭐ 17

deeplearning tour

Amazon Fine Food Review ⭐ 16

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

Campaign Critic ⭐ 16

A web app that helps Kickstarter creators increase their chances of being funded

Ai Ml Unit 2 ⭐ 16

Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza

Ml_from_scratch ⭐ 16

Implementation of basic ML algorithms from scratch in python...

Iris_classification ⭐ 16

This repository contains the Iris Classification Machine Learning Project. Which is a comprehensive exploration of machine learning techniques applied to the classification of iris flowers into different species based on their physical characteristics.

Machine_learning_from_scratch ⭐ 15

Machine Learning models from scratch with a better visualisation

Supervised Machine Learning ⭐ 15

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 Lasso and Ridge regressions.

Machine Learning Bookcamp 2022 ⭐ 15

Solutions for the Machine Learning Zoomcamp 2022 by DataTalks.Club.

Heart Disease Analysis And Prediction ⭐ 15

Heart Disease Analysis repository

Predicting Baseball Statistics ⭐ 14

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

An algorithm for classification from a graph-sparse support

Tariq Ml Models ⭐ 14

This repository contains all my implemented Machine Learning and Deep Learning projects. All my learning from different books and the internet is reflected here. The models are trained on a variety of problems including NLP, CV and other domains. The main focus of this repository is to showcase my learning journey and the projects I have worked on.

Ibm Final Project Machine Learning ⭐ 14

Final project of IBM's course https://www.coursera.org/learn/machine-learning-wi on coursera

Quick Data Science Experiments 2017 ⭐ 14

Quick-Data-Science-Experiments

Kickstarter Anticipator ⭐ 13

The main aim of this project is to tell that the certain project will be successful or it will fail by applying machine learning algorithm. In this , LOGISTIC REGRESSION is used to determine the success of the project by splitting the data into training and testing models and predicting a successful one.

Ml Cliff Notes ⭐ 13

Machine Learning Cliff Notes

Coursera Machine Learning ⭐ 13

[WIP] In this repository I implemented all assignments in python. (No octave to python library)

Heartdiseasestudy ⭐ 13

A study of the Cleveland Heart Disease data set using logistic regression

Bankruptcy Prediction Using Machine Learning ⭐ 12

Using various machine learning models to predict whether a company will go bankrupt

Deeplearning.ai Natural Language Processing ⭐ 12

My solutions to the assignments in the NLP Specialization offered by DeepLearning.AI on Coursera.

Dataquest ⭐ 12

Data Science Massive Open Online Course: All the code, notes and supplementary materials generated during the course of my data scientific learning.

Deep Learning ⭐ 12

This repository is a related to all about Deep Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)

Machine Learning From Scratch ⭐ 12

🤖 Python implementations of some of the fundamental Machine Learning models and algorithms from scratch with interactive Jupyter demos and math being explained.

Andrew Ng's machine learning course implemented in Python

Text Classification Challenge ⭐ 11

Supervised text classification

Logistic_regression ⭐ 11

Logistic Regression from the Scratch using Python and Numpy

Data Science Skills Practice ⭐ 11

Deep Learning Algorithms Implementation ⭐ 11

Implementations of (Deep Learning + Machine Learning) Algorithms

Ml Data Prep Zoo ⭐ 11

News Categ Demo ⭐ 11

New repo for news categorizer demo showed at blog post (pt-br)

Selected problems and their solutions from the book on "Machine Intelligence in Design Automation"

Ypdl Sentimentanalysis Lr ⭐ 10

While Deep Learning is a subset of Machine Learning, the prediction methodology in deep learning is different and works similar to how a human brain uses neural pathways to process information & learn from it. In this workshop we will learn about the building blocks of deep learning, neural networks, and how they work. We'll start with Logistic Regression - a simple and basic neural network classification algorithm, having just a one-layer neural network. These are the resources for the first se

Credit Card Fraud Detection ⭐ 10

The notebook contains Python code for various machine learning tasks and models. Here is an overview of its content:

Understanding Momentum ⭐ 10

Code for the paper "Understanding the Role of Momentum in Stochastic Gradient Methods"

Whostweeting ⭐ 10

Classification of tweets by Trump and Trudeau.

Projects ⭐ 10

This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.

In Depth Ml ⭐ 9

In depth machine learning resources

Machine Learning Notebooks ⭐ 9

The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.

Logistic Regression Assumptions ⭐ 9

Assumptions of Logistic Regression, Clearly Explained

An analysis of a new experimentally-derived nucleic acid binding chemical library

Home Credit Default Risk ⭐ 9

Predicting how capable each applicant is of repaying a loan (Kaggle Challenge)

Financial Market Regime Classification ⭐ 9

Value or Momentum? Comparing Random Forests, Support Vector Machines, and Multi-layer Perceptrons for Financial Time Series Prediction & Tactical Asset Allocation

Machine Learning Using Python ⭐ 9

This repo contains the files created for machine learning using python

Cml_amp_churn_prediction ⭐ 9

Build an scikit-learn model to predict churn using customer telco data.

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