#Machinelearning-python
Showing 23 of 23 repositories tagged #machinelearning-python, ranked by stars
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
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
Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
Cross Beat (xbe.at) - Your hub for python, machine learning and AI tutorials. Explore Python tutorials, AI insights, and more.
🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
This repository consists content, assignments, assignments solution and study material provided by ineoron ML masters course
A curated list of FREE courses available online from top universities of the world on CS-DS-ML!
Machine Learning Concepts with Concepts
Resources about data science, machine learning, deep learning, data engineering, and SQL.
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.
`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.
Repository for my data science projects (Web scraping and automation + exploratory data analysis + machine learning + recommendation system)
ByteHub: making feature stores simple
I will update this repository to learn Machine learning with python with statistics content and materials
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
Machine Learning model(specifically log-regression with stochastic gradient descent) for tennis matches prediction. Achieves accuracy of 66% on approx. 125000 matches
Python code source for features selection 👨🔬 series on medium website. 📰
Machine Learning Tutorial
Stocks and options picking. Tries to contain predictive analytics, recommendations, and calculators.
You are opening a new Store at a particular location. Now, Given the Store Location, Area, Size and other params. Predict the overall revenue/Sale generation of the Store.
Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling
Assignments, Labs and Quizzes from DeepLearning.AI TensorFlow: Advanced Techniques specialization