OrysyaStus / UCSD_Data_Science_and_EngineeringLinks
In the Data Science and Engineering program, engineering professionals combine the skills of software programmer, database manager, and statistician to create mathematical models of the data, identify trends/deviations, then present them in effective visual ways that can be understood by others. Data scientists unlock new sources of economic va…
☆28Updated 8 years ago
Alternatives and similar repositories for UCSD_Data_Science_and_Engineering
Users that are interested in UCSD_Data_Science_and_Engineering are comparing it to the libraries listed below
Sorting:
- iPython NOtebooks on Stats☆168Updated last year
- ☆101Updated 7 years ago
- Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)☆182Updated 8 years ago
- Map-reduce, streaming analysis, and external memory algorithms and their implementation using the Hadoop and its eco-system: HBase, Hive,…☆34Updated 8 years ago
- It consists of examples, assignments discussed in data science course taken at algorithmica.☆108Updated last year
- Homework/Classwork for my DSE 200 Python for Data Analysis Class at UC San Diego (UCSD)☆101Updated 9 years ago
- Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan☆115Updated 8 years ago
- A complete daily plan for studying to become a machine learning engineer.☆53Updated 9 years ago
- Python Data Analysis Cookbook, published by Packt☆130Updated 5 years ago
- Repository for an online class on Exploratory Data Analysis in Python☆67Updated 6 years ago
- Hands-On Data Science and Python Machine Learning, published by Packt☆146Updated 2 years ago
- a curated list of R tutorials for Data Science, NLP and Machine Learning☆23Updated 9 years ago
- In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…☆61Updated 2 years ago
- Lab for Linear and Logistic Regression, SciKit Learn☆42Updated 7 years ago
- Workshop: Python for Data Science☆64Updated 11 years ago
- Learn Python by Building Data Science Applications, published by Packt☆98Updated last year
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆284Updated 9 years ago
- Code repository for Python Data Analytics and Visualization by Packt☆45Updated 2 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 7 years ago
- Data Cleaning Libraries with Python☆288Updated 2 years ago
- ETL with Python - Taught at DWH course 2017 (TAU)☆103Updated 8 years ago
- Codes, notes and guides on Udacity's machine learning nanodegree.☆82Updated 9 years ago
- Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).☆236Updated 2 years ago
- Python Data Analysis Second Edition by Packt☆70Updated last month
- Springboard - Data Science Intensive course☆13Updated 8 years ago
- Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling☆31Updated 6 years ago
- An awesome Data Science repository to learn and apply for real world problems.☆61Updated 9 years ago
- Data Science Algorithms in a Week, published by Packt☆37Updated last month
- Data Science for Good Projects☆50Updated 7 years ago
- Course materials for my data pipeline video course with O'Reilly☆201Updated 8 years ago