my-machine-learning-projects-ct Goto Github PK

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

deepracer-core

A repository binding together everything needed for DeepRacer local.

deepracer-for-cloud

Creates an AWS DeepRacing training environment which can be deployed in the cloud, or locally on Ubuntu Linux, Windows or Mac.

easyocr

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

georgia-restaurant_inspection

The purpose of this project is to analyze, specify, design, implement, document, and demonstrate a database management information system called the Georgia Restaurant Health Inspection System.

house_sale_price_prediction

Investigate housing data set and build an ML Pipeline that automates feature engineering, feature selection, and training and testing models for estimation and prediction of housing prices.

huggingface-sagemaker-workshop-series

Enterprise Scale NLP with Hugging Face & SageMaker Workshop series

k-means-clustering-with-python-part-1

K Means Clustering is an unsupervised learning algorithm that tries to cluster data based on their similarity. Making Random data using blobs and Analysing it and forming Clusters from it.

k-means-clustering-with-python-part-2

Using KMeans Clustering to analyse the College Data and form clusters from it based on Feature Private meaning private and public colleges

k-nearest-neighbors-project

Analyse Dataset and choose a K value, with new value predict and evaluate the dataset

kaggle-crime-master

[Data Science] An end to end project to explore & visualize crime data and predict category of crime in San Francisco.

kyphosis-prediction-using-decision-trees-and-random-forests-in-python

Analyse the dataset and using Decision Trees and Random Forests in Python predicting kyphosis present or absent within children

linear-regression-prediction-project-part-1

Analyse a Dataset of Ecommerce company based in New York City that sells clothing online , order either on a mobile app or website for the clothes they want.Predict whether to buy using mobile app or website

linear-regression-prediction-project-part-2

Analyse a Housing Dataset of Usa for predicting housing prices for regions in the USA

llm-apps-workshop

Use LLMs for building real-world apps

loan-prediction-using-decision-trees-and-random-forest-project

Analysing publicly available data from LendingClub.com. Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor you would want to invest in people who showed a profile of having a high probability of paying you back. We will try to create a model that will help predict this

logistic-regression-with-python-part-1

Analyse the Titanic Data Set from Kaggle and predict a classification- survival or deceased

logistic-regression-with-python-part-2

Analyse advertising data set, indicating whether or not a particular internet user clicked on an Advertisement.predict whether or not they will click on an ad based off the features of that user

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

machine_learning_examples

A collection of machine learning examples and tutorials.

made-with-ml

Learn how to responsibly deliver value with machine learning.

maintaining-personalized-experiences-with-machine-learning

The Maintaining Personalized Experiences with Machine Learning solution provides an automated pipeline to maintain resources in Amazon Personalize. This pipeline allows you to keep up to date with your user’s most recent activity while sustaining and improving the relevance of recommendations

media-insights-on-aws

A serverless framework to accelerate the development of applications that discover next-generation insights in your video, audio, text, and image resources by utilizing AWS Machine Learning and Media services.

ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

ml-youtube-courses

A repository to index and organize the latest machine learning courses found on YouTube.

mlops-amazon-sagemaker-devops-with-ml

Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker

mlops-basics