rupskygill / ML-mastery
Code from Jason Brownlee's course on mastering machine learning
☆123Updated 8 years ago
Related projects ⓘ
Alternatives and complementary repositories for ML-mastery
- Code snippets from 2015 book by Sebastian Raschka - "Python Machine Learning"☆26Updated 8 years ago
- Codes related to various ML Hackathons☆214Updated 5 years ago
- R , Python, Machine Learning, Data Analysis, Data Visualization,Data Manipulation,Data Cleaning☆45Updated 6 years ago
- Last Minute Note of Machine learning and Deep learning by Jason Brownlee☆84Updated 5 years ago
- Lab for Linear and Logistic Regression, SciKit Learn☆41Updated 6 years ago
- A step-by-step guide to get started with Applied Machine Learning☆138Updated 6 years ago
- Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng☆51Updated 7 years ago
- This repositories contain various Machine Learning examples done with Python.☆32Updated last year
- Detailed notes and code to learn the basics of machine learning with scikit-learn.☆33Updated 8 years ago
- Following the instruction of "Machine Learning Mastery With Python"☆41Updated 4 years ago
- Analytics Vidhya Hackathons and Others☆26Updated 4 years ago
- A curated list of repositories for my book Machine Learning Solutions.☆79Updated 6 years ago
- An awesome Data Science repository to learn and apply for real world problems.☆59Updated 8 years ago
- L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya☆54Updated 5 years ago
- A curated list of data science blogs☆97Updated 6 years ago
- A complete daily plan for studying to become a machine learning engineer.☆50Updated 8 years ago
- This contains notes and exercises made in Python I made a long time ago from the Andrew Ng course in Coursera.☆47Updated 8 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 7 years ago
- Tutorials on Machine Learning with Scikit-Learn☆82Updated 4 years ago
- Deep Learning Andrew Ng Coursera☆36Updated 6 years ago
- Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.☆86Updated last year
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆318Updated last year
- Codes, notes and guides on Udacity's machine learning nanodegree.☆83Updated 8 years ago
- Introduction and Career Guide for Data Science enthusiasts☆9Updated 6 years ago
- A curated list of awesome Machine Learning frameworks, libraries and software.☆39Updated 8 years ago
- Generic codes related to NLP☆84Updated 6 years ago
- Interview stuff for friends☆83Updated last year