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Tag: Data Science
A Brief History of Jupyter Notebooks
Accessible Python education for schoolgirls using Avocados, Zombies, and Korean!
Automating machine learning workflow with DVC
Building The Perfect Personalised Menu Using Python
Decision Science with Probabilistic Programming
Developing a match-making algorithm between customers and Go-Jek products!
Docker and Python: making them play nicely and securely for Data Science and ML
Making Pandas Fly
Mastering a data pipeline with Python: 6 years of learned lessons from mistakes
NLPeasy - a Workflow to Analyse, Enrich, and Explore Textual Data
Painless Machine Learning in Production
Practical Optimisations for Pandas
Probabilistic Forecasting with DeepAR and AWS SageMaker
Sharing Reproducible Python Environments with Binder
Speed Up Your Data Processing
Supercharge your Data Science workflow with Notebooks, VS Code, and Azure
The Python Data Visualization Landscape in 2020
Top 15 Python Tips for Data Cleaning/ Understanding
Train. Serve. Deploy! Story of a NLP Model ft. PyTorch, Docker, Uwsgi and Nginx
Writing Extensions and Bindings for GPU made Easy
Addressing the Scarcity of Data Scientist
Develop Data Science for Business Value: a Phoenix Story
Productionalizing a Data Science Team
What the...? Data Science Questions Asked and Answered
What is causal inference, and why should data scientists know?
Audio Classification with Machine Learning
Building Data-Driven Client Relationship Management in Banking with Python
Deep Learning with TensorFlow 2.0
Machine learning on non curated data
Natural language processing with neural networks.
PlotVR - walk through your data
The state of Machine Learning Operations in 2019
“When a biologist met Python”
Accelerate your Deep Learning Inferencing with the Intel® DL Boost technology
Bioinformatics pipeline for revealing tumour heterogeneity
Building a Powerful Pet Detector in Notebooks
Do we have a diversity problem in Python community?
Image processing with scikit-image and Dash
Opt Out of Online Sexism – Open Source Activism
Supercharge your Deep Learning algorithms with optimized software
What about recommendation engines?
Predicting Human Activity using Time Series Analysis
Data Science and Machine Learning with Python
Open Sourcing at Work
An Idiots Guide to (Open) Data Science
Functional Programming for Data Science
Build text classification models ( CBOW and Skip-gram) with FastText in python
Enabling the chip technologies of tomorrow – how Python helps us
From exploration to deployment - combining PyTorch and TensorFlow for Deep Learning
Prototyping to tested code
Satellite data is for everyone: insights into modern remote sensing research with open data and Python
Strongly typed datasets in a weakly typed world
Beyond Jupyter Notebooks - Building your own Data Science platform with Python & Docker
Big Data Systems Performance: The Little Shop of Horrors
Bonobo, Airflow and Grafana to visualize your business
Data science complexity and solutions in real industrial projects
Data Science meets Data Protection: Keeping your data secure while learning from it.
Driving simulation and data analysis of magnetic nanostructures through Jupyter Notebook
Fulfilling Apache Arrow's Promises: Pandas on JVM memory without a copy
Interactive Visualization of Traffic Data using Bokeh
Introduction to Docker for Pythonistas
Measuring the hay in the haystack: quantifying hidden variables using Bayesian Inference
Microservices from the trenches: how we delivery fancy sofas across Europe
Processing Geodata using Python
Solving Data Science Problems using a Jupyter Notebook and SAP HANA's in-database Machine Learning Libraries
Stretchy - NoSQL Database behind REST API
A Day Has Only 24±1 Hours: import pytz
Active Learning - Building Semi-supervised Classifiers when Labeled Data is not Available
Binder - lowering the bar to sharing interactive software
Distributed Hyperparameter search with sklearn and kubernetes
Germany's next topic model
Productionizing your ML code seamlessly
reticulate: R interface to Python
Scalable Scientific Computing using Dask
Docker for Data Science
Databases for Data Science
Recent advancements in NLP and Deep Learning: A Quant's Perspective
Python & Industry 4.0: a real world case
Data science in Python
An introduction to PyMC3
Connecting PyData to other Big Data Landscapes using Arrow and Parquet
Data Plumbing 101 - ETL Pipelines for Everyday Projects
Data Science Project for Beginners
Deep Learning for Computer Vision
Effective Data Analysis with Pandas Indexes
Flow is in the Air: Best Practices of Building Analytical Data Pipelines with Apache Airflow
Getting Scikit-Learn To Run On Top Of Pandas
Large-scale machine learning pipelines using Luigi, PySpark and scikit-learn
Modern ETL-ing with Python and Airflow (and Spark)
Sport analysis with Python
Synthetic Data for Machine Learning Applications
The eye of the Python, an eye tracking system. From zero to... what eye learned
The Python Ecosystem for Data Science: A Guided Tour
Time series feature extraction with tsfresh - “get rich or die overfitting”
Turbodbc: Turbocharged database access for data scientists
Data Science & Data Visualization in Python. How to harness power of Python for social good?
Marketing Data Science
How to use pandas the wrong way
Dev Ops meets Data Science Taking models from prototype to production with Docker
You got your engineering in my Data Science: Addressing the reproducibility crisis
Keynote: How Open Data Science Opens the World of Innovation
Scaling up to Big Data Devops for Data Science
When Worlds Collide: Productionalizing a Data Science Model
Keynote: Using Data Science for Social Good: Examples, Opportunities, and Challenges
How do I apply a function to a pandas Series or DataFrame?
How do I create a pandas DataFrame from another object?
How do I change display options in pandas?
How do I avoid a SettingWithCopyWarning in pandas?
How do I find and remove duplicate rows in pandas?
How do I work with dates and times in pandas?
Constructing Models to Deal with Missing Data
Give Your Data an Entrance Exam: Tools from Psychometrics for Data Quality Evaluation
How do I create dummy variables in pandas?
More of your pandas questions answered!
How do I use pandas with scikit-learn to create Kaggle submissions?
How do I make my pandas DataFrame smaller and faster?
When should I use the "inplace" parameter in pandas?
How do I select multiple rows and columns from a pandas DataFrame?
What do I need to know about the pandas index? (Part 2)
What do I need to know about the pandas index? (Part 1)
How do I handle missing values in pandas?
How do I explore a pandas Series?
When should I use a "groupby" in pandas?
How do I change the data type of a pandas Series?
How do I use string methods in pandas?
How do I use the "axis" parameter in pandas?
Your pandas questions answered!
How do I apply multiple filter criteria to a pandas DataFrame?
How do I filter rows of a pandas DataFrame by column value?
How do I sort a pandas DataFrame or a Series?
How do I remove columns from a pandas DataFrame?
How do I rename columns in a pandas DataFrame?
Why do some pandas commands end with parentheses (and others don't)?
How do I select a pandas Series from a DataFrame?
What is pandas? (Introduction to the Q&A series)
How do I read a tabular data file into pandas?
Matplotlib Plot Tutorial: Histograms, Scatter Plots & Legend
How to evaluate a classifier in scikit-learn
How to find the best model parameters in scikit-learn
Selecting the best model in scikit-learn using cross-validation
Data science in Python: pandas, seaborn, scikit-learn
Comparing machine learning models in scikit-learn
Training a machine learning model with scikit-learn
Getting started in scikit-learn with the famous iris dataset
Setting up Python for machine learning: scikit-learn and IPython Notebook
What is machine learning, and how does it work?