aleksandrpak / solutions
Solutions to problems taken from different courses, books or job interviews
☆15Updated 8 years ago
Alternatives and similar repositories for solutions:
Users that are interested in solutions are comparing it to the libraries listed below
- Machine Learning Challenge #2 on HackerEarth.☆10Updated 7 years ago
- This repository contains code files specifically IPython notebooks for the assignments in the course "Scalable Machine Learning" by UC Be…☆30Updated 9 years ago
- This is a machine learning challenge conducted by C&D Labs and Future Group in association with HackerEarth.☆10Updated 7 years ago
- Uses NLP to analyze nearly 3 million restaurant reviews from the Yelp dataset☆25Updated 6 years ago
- Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better …☆30Updated 4 years ago
- Learning Machine Learning and showcasing my work for 100 Days.☆16Updated 6 years ago
- Quantum Black Hackathon organised by Analytics Vidya☆12Updated 5 years ago
- Material for UW Extension Data Science 350☆19Updated 7 years ago
- code assigenments for Stanford NLP class.☆29Updated 12 years ago
- ☆13Updated 7 years ago
- DSGA-1003: Machine Learning and Computational Statistics, Spring 2018☆26Updated 2 years ago
- A short tutorial notebook on PySpark☆15Updated 9 years ago
- Codes written for some competitions☆13Updated 8 years ago
- Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.☆15Updated 8 years ago
- Crowd Course Data Science course project☆26Updated 8 years ago
- AWS, Vagrant, and Spark☆20Updated 9 years ago
- A machine learning project trying to predict whether or not a Kickstarter campaign succeeds. Final report in PDF as well. Includes origin…☆12Updated 5 years ago
- Collection of presentation of my work on various platforms and meetups☆22Updated 5 years ago
- Codes related to Knocktober 2016☆23Updated 8 years ago
- This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview☆41Updated 6 years ago
- 🛠️ My solutions to Datacamp Projects☆9Updated 5 years ago
- Build and Deploy Machine Learning Models on the Cloud☆17Updated 7 years ago
- basic pandas tutorials☆47Updated 7 years ago
- Machine Learning Notes (Mainly from Stanford CS229 and Coursera courses taught by Andrew Ng)☆33Updated 11 years ago
- Springboard - Data Science Intensive course☆13Updated 7 years ago
- A iPython notebook that tests Graphify's feature extraction and selection algorithm as a logistic regression classifier☆21Updated 10 years ago
- Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark☆32Updated 7 years ago