There are 74 repositories under machinelearning-python topic.
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
Pythonic tool for running data-science/high performance/quantum workflows on advanced computing hardware. Make your complex workflows modular, scalable and reproducible.
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.
Python codes from tutorials on the Data Professor YouTube channel
I will update this repository to learn Machine learning with python with statistics content and materials
yet another custom data science template via cookiecutter
ByteHub: making feature stores simple
Clustering for mixed-type data
Indian license plate detection and character extraction using deep learning and raspberry pi.
Stress classifier with AutoML
ECN 5090- Machine Learning in Economics and Finance (Python)
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
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.
Python code source for features selection 👨🔬 series on medium website. 📰
A Deep-Learning multi-purpose chatbot made using Python3
Machine Learning (Easy to Hard step by step)
A simple implementation of a portion of GCN (Kipf & Welling) that can handle graph classification.
📊 Easily apply audio-related machine learning models trained on the AudioSet dataset (527+ models/classes).
Machine learning notes that make your reading easy
Discord bot for coronavirus (COVID-19) , With Ai [Machine learning algorithms] integrated into it
Sliver Solution (Top 2%) for Kaggle M5 Forecasting competition / Kaggle M5沃尔玛销量时间序列预测竞赛 银牌方案(Top 2%)
This repository consists content, assignments, assignments solution and study material provided by ineoron ML masters course
Stocks and options picking. Tries to contain predictive analytics, recommendations, and calculators.
Automatic Machine Learning Model Creation with GUI and Python.
Draw in the air with your favorite pointer