6890 Open source projects that are alternatives of or similar to The Deep Learning With Keras Workshop

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

An Interactive Approach to Understanding Supervised Learning Algorithms

This repository is a recommended track, designed to get started with Machine Learning.

Implementations of machine learning algorithm by Python 3

[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).

Predicting Google’s stock price using regression

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

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

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

Text processing library for sentiment analysis and related tasks

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası

Machine Learning Course @ Santa Clara University

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

tiny fast portable real-time deep neural network for regression and classification within 50 LOC.

simple tutorial on Machine Learning with Scikitlearn

A deep learning based gaze estimation framework implemented with PyTorch

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

A library for performing hyperparameter optimization

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

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

Various methods for generating synthetic data for data science and ML

Generalized Analog Regression Downscaling (GARD) code

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.

A python library to build Model Trees with Linear Models at the leaves.

Conceptual & empirical comparisons between decision forests & deep networks

Minimalistic Multiple Layer Neural Network from Scratch in Python.

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Machine Learning Lectures at the European Space Agency (ESA) in 2018

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking

Human-explainable AI.

Stanford Machine Learning course exercises implemented with scikit-learn

Compilation of R and Python programming codes on the Data Professor YouTube channel.

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

Artificial Neural Network

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

Jupyter notebooks from the scikit-learn video series

機器學習: Python

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

BERT-NER (nert-bert) with google bert https://github.com/google-research.

Alpine Container for Machine Learning

Plain python implementations of basic machine learning algorithms

A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.

Github repo with tutorials to fine tune transformers for diff NLP tasks

Curso de Introducción a Machine Learning con Python

Python package for Bayesian Machine Learning with scikit-learn API

food image to recipe with deep convolutional neural networks.

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

mlr3: Machine Learning in R - next generation

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

Examples use case of PHP-ML library.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.