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relataly.com

  • AI
    • Simple Regression
    • Classification: Two Class
    • Classification: Multi-Class
    • Clustering
    • Time Series Forecasting
    • Anomaly Detection
    • Natural Language
    • Recommender Systems
    • Reinforcement Learning
    • Responsible AI
  • Use Cases
    • Stock Market Forecasting
    • Algorithmic Trading
    • Sentiment Analysis
    • Churn Prediction
    • Fraud Detection
    • Predictive Maintenance
    • Marketing Automation
    • Customer Segmentation
    • Sales Forecasting
    • ChatBots
    • Fighting Crime
    • Risk Management
    • Image Recognition
  • Algorithms
    • CNNs
    • RNNs (LSTM)
    • Decision Trees
    • Random Decision Forests
    • Random Isolation Forest
    • Local Outlier Factor
    • Gradient Boosting
    • Collaborative Filtering
    • Content-based Filtering
    • K-Nearest Neighbors
    • K-Means
    • Affinity Propagation
    • Agglomerative Clustering
    • Logistic Regression
    • Naive Bayes
    • ARIMA
  • Data Science
    • Exploratory Data Analysis
    • Feature Engineering
    • Hyperparameter Tuning
    • Dimensionality Reduction
    • Model Interpretation
    • Data Visualization
    • Correlation
    • Measuring Performance
    • Cross-Validation
    • Vector Databases
    • SQLite
    • Data Science Environments
      • Anaconda
      • Azure Machine Learning
    • Python Libraries
      • Scikit-Learn
      • Tensorflow
      • Keras
      • Pytorch
      • PySpark
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      • Facebook Prophet
      • GeoPandas
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Covid-19 Analytics

Covid-19, also known as the coronavirus, is an infectious disease that has caused a global pandemic, with significant impacts on public health, the economy, and society. From an analytics perspective, the covid-19 pandemic presents a unique and challenging opportunity to analyze and understand the spread and impact of the disease, and to develop and apply data-driven approaches to mitigate its effects. Analyzing covid-19 data can help to identify trends and patterns in the spread of the disease, and to identify factors that may be associated with its transmission and severity. This can provide valuable insights into the dynamics of the pandemic, and can inform public health policies and interventions, such as social distancing measures and vaccination campaigns.

worldmap covid-19 data python tutorial api midjourney relataly machine learning-min

Geographic Heat Maps with GeoPandas: Visualizing COVID-19 Data in Python

May 27, 2023April 8, 2020

The spreading of COVID-19 has led to an increased interest in displaying region and country-specific information on geographic heat maps. … Read more

python correlation machine learning relataly tutorial midjourney scatter plot colorful-min

Correlation Matrix in Python: How Correlated are COVID-19 Cases and Different Financial Assets?

May 27, 2023April 5, 2020

Correlation analysis is a powerful tool in financial market analysis, helping investors to better understand the interdependence of different assets. … Read more

rest apis python tutorial relataly machine learning-min

Accessing Remote Data Sources via REST APIs in Python

March 28, 2023March 1, 2020

REST APIs provide straightforward access to remote data sources. Data scientists should learn about REST APIs because APIs (Application Programming … Read more

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