machinelearning-python

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

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

🔔 No need to keep checking your training - just one import line and you'll know the second it's done.

Plant Disease Detector Web Application

Tutorial Series (60 hour course): Essentials of computer vision

Machine Learning Concepts with Concepts

This is a repository built by the community for the community.

The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to implementing supervised and unsupervised machine learning algorithms in Python by Tarek Amr

`mllint` is a command-line utility to evaluate the technical quality of Python Machine Learning (ML) projects by means of static analysis of the project's repository.

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

another yet custom data science template via cookiecutter

Python codes from tutorials on the Data Professor YouTube channel

ByteHub: making feature stores simple

Indian license plate detection and character extraction using deep learning and raspberry pi.

Stress classifier with AutoML

Edge Computer Vision Course

Flutter App Build for the machine Learning model which shows sentiments of instagram user by analysing their captions

Social Distancing and Face Mask Detection using TensorFlow. Install all required Libraries and GPU drivers as well. Refer to README.md or REPORT for know to installation requirement

Python code source for features selection 👨‍🔬 series on medium website. 📰

ECN 5090- Machine Learning in Economics and Finance (Python)

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discrete variables using various techniques depending on the feature. Checked for missing values and cleaned the data. Built the probability of default model using Logistic Regression. Visualized all the results. Computed Weight of Evidence and price elasticities.

A simple implementation of a portion of GCN (Kipf & Welling) that can handle graph classification.

A Deep-Learning multi-purpose chatbot made using Python3

Machine Learning (Easy to Hard step by step)

Discord bot for coronavirus (COVID-19) , With Ai [Machine learning algorithms] integrated into it

📊 Easily apply audio-related machine learning models trained on the AudioSet dataset (527+ models/classes).

Machine learning notes that make your reading easy