dipanjanS / stanford-statistical-learningLinks
Slides, material and solutions of the popular Statistical Learning course from Stanford's own Hastie & Tibshirani. Join me on my journey to finally try and complete this course after leaving it mid-way atleast 3-4 times due to other commitments!
☆15Updated 7 years ago
Alternatives and similar repositories for stanford-statistical-learning
Users that are interested in stanford-statistical-learning are comparing it to the libraries listed below
Sorting:
- ☆26Updated 6 years ago
- Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).☆153Updated 7 years ago
- Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan☆115Updated 8 years ago
- In-class exercises for Deep Learning course at NYC Data Science Academy☆32Updated 7 years ago
- Few tutorials on pandas, matplotlib and seaborn☆27Updated 9 years ago
- Here we host the lecture notes and problem sets for the "Projektkurs Data Science & Business Analytics" at Ulm University☆18Updated 5 years ago
- Data Science for Good Projects☆50Updated 7 years ago
- In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym'…☆44Updated 7 years ago
- Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling☆31Updated 6 years ago
- ☆18Updated 6 years ago
- Intro to Twt Analysis with Hasan Minhaj's Indian Elections Episode Tweets Analysis☆11Updated 6 years ago
- It consists of examples, assignments discussed in data science course taken at algorithmica.☆108Updated last year
- Codes, notes and guides on Udacity's machine learning nanodegree.☆81Updated 9 years ago
- Repository for an online class on Exploratory Data Analysis in Python☆67Updated 6 years ago
- Teaching materials for pandas and scikit-learn☆18Updated 9 years ago
- An analysis of 93,000+ data science freelancers☆57Updated 9 years ago
- An introduction to git.☆11Updated 10 years ago
- Detailed notes and code to learn the basics of machine learning with scikit-learn.☆35Updated 9 years ago
- Data Science Algorithms in a Week, published by Packt☆37Updated last week
- DataCamp Facebook Live Code Along Session 2: Learn how to complete a Kaggle competition using exploratory data analysis, data munging, da…☆62Updated 5 years ago
- Materials for Applied Machine Learning Taught in Python☆37Updated 3 years ago
- Work for Mastering Large Datasets with Python☆20Updated 3 years ago
- Contains code and presentation for our full day workshop, 'Getting Started with Natural Language Processing'. This is created for the pur…☆66Updated 7 years ago
- The Art of Data Science☆36Updated 6 years ago
- Quick EDA on a data set to determine what segments there are.☆31Updated 6 years ago
- Springboard - Data Science Intensive course☆13Updated 8 years ago
- Source code for 'Python Data Analytics' by Fabio Nelli☆19Updated 8 years ago
- This project will aim at studying and analyzing the inflation rates of countries globally. The dataset is a public dataset downloaded fro…☆46Updated 7 years ago
- Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course …☆35Updated 6 years ago
- basic pandas tutorials☆52Updated 8 years ago