Brandon-HY-Lin / coursera_How-to-Win-a-Data-Science-Competition-Learn-from-Top-KagglersLinks
Labs and Project from the course "How to Win a Data Science Competition: Learn from Top Kagglers"
☆148Updated 6 years ago
Alternatives and similar repositories for coursera_How-to-Win-a-Data-Science-Competition-Learn-from-Top-Kagglers
Users that are interested in coursera_How-to-Win-a-Data-Science-Competition-Learn-from-Top-Kagglers are comparing it to the libraries listed below
Sorting:
- How to Win a Data Science Competition: Learn from Top Kagglers☆174Updated 7 years ago
- Advanced Machine Learning Specialization on Coursera☆221Updated 5 years ago
- Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforce…☆198Updated 6 years ago
- Python Feature Engineering Cookbook, published by Packt☆481Updated 2 years ago
- ☆203Updated last year
- DeepLearning.AI TensorFlow Developer Professional Certificate -Coursera☆114Updated last year
- Code repository for the online course Feature Engineering for Machine Learning☆400Updated last year
- Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course☆660Updated 5 years ago
- Code and files to go along with CS329s machine learning model deployment tutorial.☆609Updated 2 years ago
- Notebook to walk through Bayesian testing with Kaggle data☆38Updated 4 years ago
- Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)☆60Updated 3 years ago
- I am sharing my Journey of 66DaysofData in Natural Language Processing.☆187Updated last year
- Companion repository for the book Building Machine Learning Powered Applications☆685Updated 2 years ago
- Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng☆370Updated 2 years ago
- Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.☆151Updated 4 years ago
- A repository to keep track of all the code that I end up writing for my blog posts.☆249Updated 2 years ago
- A list of working examples of Data Science Use Cases and Applications by Industry☆63Updated 5 years ago
- Jeff Heaton's Kaggle Utilities☆281Updated 5 years ago
- Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to s…☆183Updated 3 years ago
- Notes and material for the "Machine Learning Engineer Nanodegree" (MLND) by Udacity.☆72Updated 5 years ago
- Implemented an A/B Testing solution with the help of machine learning☆50Updated 3 years ago
- This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Y…☆743Updated 4 years ago
- Gathered multiple pdfs regarding interview questions on machine learning and deep learning☆70Updated 5 years ago
- Preparation for Machine Learning Interview☆187Updated 10 months ago
- Code for the online course "Deployment of Machine Learning Models"☆858Updated last year
- Data Science Portfolio☆73Updated 4 years ago
- All projects and lecture notes of the Udacity Machine Learning Engineer Nanodegree.☆217Updated 7 years ago
- Machine Learning Engineering with Python☆185Updated last week
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆211Updated last week
- Udacity Data Science Nanodegree Program☆67Updated 6 years ago