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Python For AI Course
Unlock di power wey Python get for AI inside Business Intelligence wit wi proper course ya. Enter inside di work of prepare data, learn how for scale, normalize, and encode data well-well. Look pan how for load and analyze data, solve problem wit data wey loss, and use CSV file dem. Move forward wit time series forecasting use ARIMA, LSTM, and Prophet model dem. Make yu skill dem strong for model training, hyperparameter tuning, and how for evaluate if di model work well. Create fine visuals wey go mek sense and tell how sales go be for future. Mek yu BI skill dem strong wit correct practical lesson dem wey go gee yu quality knowledge.
- Learn how for prepare data well-well: Scale, normalize, and encode for mek di AI model dem work fine.
- Do exploratory data analysis: Find important information and solve problem wit data wey loss.
- Use time series model dem: Use ARIMA, LSTM, and Prophet for correct forecast dem.
- Mek model work fine: Split data, tune hyperparameter dem, and evaluate di result dem.
- Show and write about wetin yu find: Create fine visuals and write proper document about am.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock di power wey Python get for AI inside Business Intelligence wit wi proper course ya. Enter inside di work of prepare data, learn how for scale, normalize, and encode data well-well. Look pan how for load and analyze data, solve problem wit data wey loss, and use CSV file dem. Move forward wit time series forecasting use ARIMA, LSTM, and Prophet model dem. Make yu skill dem strong for model training, hyperparameter tuning, and how for evaluate if di model work well. Create fine visuals wey go mek sense and tell how sales go be for future. Mek yu BI skill dem strong wit correct practical lesson dem wey go gee yu quality knowledge.
Elevify advantages
Develop skills
- Learn how for prepare data well-well: Scale, normalize, and encode for mek di AI model dem work fine.
- Do exploratory data analysis: Find important information and solve problem wit data wey loss.
- Use time series model dem: Use ARIMA, LSTM, and Prophet for correct forecast dem.
- Mek model work fine: Split data, tune hyperparameter dem, and evaluate di result dem.
- Show and write about wetin yu find: Create fine visuals and write proper document about am.
Suggested summary
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