Flipboard

JUNE 6, 2025

Sign in Sign out Contributor Portal Latest Editor’s Picks Deep Dives Contribute Newsletter Toggle Mobile Navigation LinkedIn X Toggle Search Search Data Science How I Automated My Machine Learning Workflow with Just 10 Lines of Python Use LazyPredict and PyCaret to skip the grunt work and jump straight to performance.

Machine Learning 108

Machine Learning Machine Learning Python Data Science 108

AWS Machine Learning Blog

SEPTEMBER 29, 2023

The Amazon SageMaker Studio notebook with geospatial image comes pre-installed with commonly used geospatial libraries such as GDAL, Fiona, GeoPandas, Shapely, and Rasterio, which allow the visualization and processing of geospatial data directly within a Python notebook environment.

Machine Learning 138

Machine Learning Machine Learning ML ML 138

Ocean Protocol

FEBRUARY 2, 2023

Prophet is implemented in Python, a widely used programming language for machine learning and artificial intelligence. We’ll install with pip here for ease of use with Python: $ python -m pip install prophet That’s it! In your terminal, start the Python console. Pretty cool, no? It’s also open-source!

Cross Validation 52

Cross Validation Algorithm ML ML 52

Mlearning.ai

MARCH 15, 2023

Build a Stocks Price Prediction App powered by Snowflake, AWS, Python and Streamlit — Part 2 of 3 A comprehensive guide to develop machine learning applications from start to finish. Data Extraction, Preprocessing & EDA : Extract & Pre-process the data using Python and perform basic Exploratory Data Analysis.

Python 52

Python AWS Exploratory Data Analysis Machine Learning 52

Heartbeat

FEBRUARY 20, 2023

They are: A Comet ML account A suitable IDE, e.g., VSCode or Jupyter Notebook which can also run in VSCode The latest versions of Scikit-learn, CometML, Pandas, NumPy, joblib, and XGboost libraries A python 3.9+ Additionally, I will use StratifiedKFold cross-validation to perform multiple train-test splits.

Cross Validation 87

Cross Validation ML ML Machine Learning 87

PyImageSearch

JANUARY 23, 2023

Jump Right To The Downloads Section Scaling Kaggle Competitions Using XGBoost: Part 4 If you went through our previous blog post on Gradient Boosting, it should be fairly easy for you to grasp XGBoost, as XGBoost is heavily based on the original Gradient Boosting algorithm. kaggle/kaggle.json # download the required dataset from kaggle !kaggle

Deep Learning 109

Deep Learning Deep Learning Algorithm Decision Trees 109

Ocean Protocol

FEBRUARY 1, 2024

Data Set : Access to the dataset of historical METAR data points is available to download from the Ocean Market via the Mumbai Test Network (Polygon Testnet), and via Polygon Mainnet. You can download the dataset directly through Desights. It’s also a good practice to perform cross-validation to assess the robustness of your model.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Science Cross Validation Machine Learning 52