kevin-hartman / MIDSLinks
A collection of course materials, notes and assignments for the Masters of Information and Data Sciences program at UC Berkeley
☆13Updated 5 years ago
Alternatives and similar repositories for MIDS
Users that are interested in MIDS are comparing it to the libraries listed below
Sorting:
- This repo contains the material and projects for Udacity Data science Nanodegree term 2☆12Updated 2 years ago
- This repository holds all course materials for the fall 2018 offering of Statistics 243 at UC Berkeley.☆17Updated 5 years ago
- Various useful data structures in Python☆39Updated 5 years ago
- Data Science MicroMasters Program from UC San Diego on edX☆20Updated 5 years ago
- Materials for Applied Machine Learning Taught in Python☆36Updated 2 years ago
- Exploratory Data Analysis with Pandas and Python 3.x, published by Packt☆44Updated 2 years ago
- My notes for coursera course AI TensorFlow in Practice Specialization.☆15Updated 5 years ago
- Jupyter Notebooks for the Python Data Science Handbook☆20Updated 8 years ago
- Repository for the Data Science Professional Program from Harvard University on edX☆38Updated 5 years ago
- ☆33Updated last year
- ☆43Updated 5 years ago
- An Exploratory Data Analysis on the World Bank Dataset.☆13Updated 5 years ago
- Various conv nets using TensorFlow, Keras, or other tools☆14Updated 6 years ago
- Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course …☆35Updated 6 years ago
- Machine Learning and Object Oriented Programming with Python, a FAES course at the National Institutes of Health☆20Updated 9 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
- Slides, material and solutions of the popular Statistical Learning course from Stanford's own Hastie & Tibshirani. Join me on my journey …☆15Updated 7 years ago
- This guide is for those who know some math, know some programming language and now want to dive deep into deep learning☆92Updated 7 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☆40Updated 6 years ago
- Statistical Methods & Applied Mathematics in Data Science, Published by Packt☆28Updated 4 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆36Updated 6 years ago
- Complete Python-3 programming tutorials from beginner to advanced level.☆11Updated 5 years ago
- Spark Projects for the Berkeley Data Science Course☆13Updated 9 years ago
- Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling☆31Updated 5 years ago
- Healthcare Analytics Made Simple, published by Packt☆45Updated 2 years ago
- Notes, Ideas, and Projects related to my Springboard data science career track☆11Updated 7 years ago
- Introductory tutorial notebooks for learning data science, as part of the Data Science in Practice materials.☆79Updated 3 weeks ago
- Code repo for Packt course I developed, "Beginning Data Wrangling with Python"☆30Updated 5 years ago
- A curated list of suggested reading materials.☆19Updated 8 months ago