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 108

Deep Learning Deep Learning Algorithm Decision Trees 108

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

Heartbeat

MAY 29, 2023

Use a representative and diverse validation dataset to ensure that the model is not overfitting to the training data. The UI can include interactive visualizations or allow users to download the output in different formats. This can include user manuals, FAQs, and chatbots for real-time assistance.

Machine Learning 78

Machine Learning Machine Learning Natural Language Processing Data Preparation 78