ML-course / masterLinks
A machine learning course using Python, Jupyter Notebooks, and OpenML
☆874Updated 8 months ago
Alternatives and similar repositories for master
Users that are interested in master are comparing it to the libraries listed below
Sorting:
- Machine learning and deep learning resources☆557Updated 2 months ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆978Updated 3 years ago
- Hands-on Exploratory Data Analysis with Python, published by Packt☆844Updated last month
- 🍧 DataCamp data-science and machine learning courses☆405Updated last year
- Machine Learning notebooks for refreshing concepts.☆535Updated 4 years ago
- Materials for following along with Hands-On Data Analysis with Pandas.☆423Updated last month
- Machine Learning Projects and Learning Content☆465Updated last year
- Machine Learning Experiments and Work☆652Updated 2 years ago
- A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn☆713Updated 5 years ago
- Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to …☆183Updated 2 years ago
- 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 Learni…☆717Updated 3 years ago
- 15+ Machine/Deep Learning Projects in Ipython Notebooks☆148Updated 5 years ago
- ☆308Updated 3 years ago
- DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.☆1,092Updated 2 years ago
- 50 scikit-learn tips☆1,744Updated 3 years ago
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆805Updated 5 years ago
- For extensive instructor led learning☆1,814Updated 3 years ago
- A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python☆150Updated 9 months ago
- DataCamp Project Solutions☆501Updated 11 months ago
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆791Updated 3 years ago
- Python Feature Engineering Cookbook, published by Packt☆484Updated last month
- Learning to create Machine Learning Algorithms☆393Updated 4 years ago
- Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!☆1,311Updated last month
- This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.☆756Updated 4 years ago
- Repository for Machine Learning resources, frameworks, and projects. Managed by the DLSU Machine Learning Group.☆599Updated 6 years ago
- This repository consists of all my Machine Learning Projects.☆684Updated 2 years ago
- Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques t…☆998Updated last year
- Exploratory data analysis 📊using python 🐍of used car 🚘 database taken from ⓚ𝖆𝖌𝖌𝖑𝖊☆225Updated 6 years ago
- Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to adva…☆419Updated 3 years ago
- ☆44Updated 6 years ago