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mental_health_disorder_sql_ml_lecture

In this project, SQL for data cleaning and Python libraries such as pandas, seaborn

mental_health_in_tech

This repo concerns a cluster analysis of mental health condition in tech industry

micheletobias_introtoqgis

microsoft_dp-100-------azure

Repository containing reference notebooks for the Azure ML Python SDK and Databricks courses

ml

ml---online-shopper-intention-lecture

This project is a classification problem. It is about whether a customer generates revenue or not. First, the problem is converted into unsupervised and then clustering algorithms like k-Modes and Hierarchical clustering are applied. After that, Categorical and Numerical Features are transformed to suit the classification algorithms. Feature Select

ml-1_with_python

This ML Section 1 with python repository is really useful as a reference in learning Machine Learning for beginners and intermediate levels, therefore it is very good for learning fundamental principles. However, this is not yet an end-to-end learning process because it only models on train data and test data, excluding Exploratory Data Analyst, Fe

ml-ai-da-onlineclass

Building Recommender Systems with Machine Learning and AI (Lynda) | Applying Data Analytics in Marketing (Coursera) | Developing AI Applications on Azure (Coursera) | Managing Big Data with MySQL (Coursera)

ml-clustering--hierarchical-clustering-and-k-means-clustering

Implemented two types of clustering methods, Lloyd’s algorithm (“k-means”) and hierarchical agglomerative clustering, on two datasets to compare their performance based on their clustering results.

ml-dl-in-production

Repository, with some blogposts and code for deploying machine and deep learning-based models in production.

ml-exercise

Data Science Project

ml-flask-api

A simple template of a Python API (web-service) for real-time Machine Learning predictions, using scikitlearn-like models, Flask and Docker.

ml-flask-web-app

A simple Machine Learning based web application using Flask and Scikit-Learn.

ml-in-production

Project 5000

ml-python-azure-notebooks

# Background

ml-react-app-template

This is a template for creating a Machine Learning application with its front-end developed using React which interacts with a Flask service as the back-end and makes predictions.

mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

mlops

ref ---Machine Learning in Production

mlops-course

A project-based course on the foundations of MLOps to responsibly develop, deploy and maintain ML.

mlops-r

Resources for Machine Learning Operations with R

mlops-with-python-and-azure

mlops-zoomcamp

Free MLOps course from DataTalks.Club

ml_azure_notebooks-ay

Machine learning with Python and Azure Notebooks - based on Microsoft Learn

ml_bank-marketing-campaign

Data analysis and ML models for Bank Marketing Campaign - Classification Problem

ml_deployment_flask_aws_marriage_age_prediction

mobile_expense_tracking

The mobile expense tracking is built with Android Studio and Java. The app features password complexity and encryption. The app also allows multiple users to get access to the resource. Its function is fairly simple, Expense Tracking allows user to enter their expense in that month. Users can add items to the app and track how much and what they spend on that month. The app uses SQLite as its database. and content is stored directly on the phone.

model-selection-and-cross-validation

modelselection

Demystify Machine Learning Model Selection, a Step by Step Guide

moluculardb-builder

monday-server-agent-hackathon-2020