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Python For AI Course
Unlock the power of Python for AI in Business Intelligence with our comprehensive course, tailored for the South African context. Dive into data preprocessing, mastering techniques like scaling, normalising, and encoding. Explore data loading and analysis, tackle missing values, and make the most of CSV files. Advance with time series forecasting using ARIMA, LSTM, and Prophet models. Enhance your skills in model training, hyperparameter tuning, and performance evaluation. Create impactful visuals and generate future sales predictions. Elevate your BI expertise with practical, high-quality learning that's relevant to the South African market.
- Master data preprocessing: Scale, normalise, and encode for optimal AI models (locally relevant datasets).
- Conduct exploratory data analysis: Uncover insights and handle missing values common in South African data.
- Implement time series models: Use ARIMA, LSTM, and Prophet for accurate forecasts in the South African context.
- Optimise model performance: Split data, tune hyperparameters, and evaluate results using South African datasets.
- Visualise and document insights: Create impactful visuals and thorough documentation reflecting South African business scenarios.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the power of Python for AI in Business Intelligence with our comprehensive course, tailored for the South African context. Dive into data preprocessing, mastering techniques like scaling, normalising, and encoding. Explore data loading and analysis, tackle missing values, and make the most of CSV files. Advance with time series forecasting using ARIMA, LSTM, and Prophet models. Enhance your skills in model training, hyperparameter tuning, and performance evaluation. Create impactful visuals and generate future sales predictions. Elevate your BI expertise with practical, high-quality learning that's relevant to the South African market.
Elevify advantages
Develop skills
- Master data preprocessing: Scale, normalise, and encode for optimal AI models (locally relevant datasets).
- Conduct exploratory data analysis: Uncover insights and handle missing values common in South African data.
- Implement time series models: Use ARIMA, LSTM, and Prophet for accurate forecasts in the South African context.
- Optimise model performance: Split data, tune hyperparameters, and evaluate results using South African datasets.
- Visualise and document insights: Create impactful visuals and thorough documentation reflecting South African business scenarios.
Suggested summary
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