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

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

Plain python implementations of basic machine learning algorithms

Python implementation of Andrew Ng's ML course projects

A New, Interactive Approach to Learning Python

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

Deep Learning From Scratch

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Python code for common Machine Learning Algorithms

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

This is Andrew NG Coursera Handwritten Notes.

吴恩达机器学习coursera课程，学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng

吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course

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

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

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

机器学习-Coursera-吴恩达- python+Matlab代码实现

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

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

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A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

An Interactive Approach to Understanding Deep Learning with Keras

For extensive instructor led learning

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

📈 Regression and Classification with UC Davis student quiz data and exam data

High Quality Monocular Depth Estimation via Transfer Learning

A set of machine learning experiments in Clojure

DeepLearning.AI TensorFlow Developer Professional Certificate Specialization

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

google it automation with python professional certificate

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

A Tutorial for Serving Tensorflow Models using Kubernetes

Notes and Assignments for Andrew Ng's Machine Learning - Python3 code

Generating Captions for images using Deep Learning

Solutions to assignments of Coursera Specializations - Deep learning, Machine learning, Algorithms & Data Structures, Image Processing and Python For Everybody

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Deep Learning Specialization by Andrew Ng on Coursera.

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

🙄 Difficult algorithm, Simple code.

100 Days of ML Coding

Big Data for Data Engineers Coursera Specialization from Yandex

Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a different object detection task using YOLO.

Generic U-Net Tensorflow 2 implementation for semantic segmentation

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

Python implementation of TextRank for phrase extraction and summarization of text documents

Completed assignment jupyter notebook of Foundations of Convolutional Neural Networks, deeplearning.ai coursera course

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

Homework about Machine Learning of Coursera taught by andrew ng

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

machine learning algorithm

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

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

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Machine Learning Concepts with Concepts