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Python AI ML Course
Unlock the power of Python in AI and ML with our comprehensive course, designed specifically for Business Intelligence professionals in India. Delve into data pre-processing, mastering techniques like handling missing data and outlier detection. Enhance your forecasting skills with LSTM, ARIMA, and Prophet models. Learn to optimise models through hyperparameter tuning and grid search methods. Gain expertise in feature engineering and data exploration, and confidently interpret and report results in a way that's relevant to the Indian context. Elevate your BI career with practical, high-quality insights, geared towards the Indian business landscape.
- Master data pre-processing: Handle missing data, normalise data, and detect outliers effectively.
- Analyse model predictions: Interpret results and create insightful reports suitable for Indian stakeholders.
- Forecast with time series: Utilise LSTM, Prophet, and ARIMA models effectively for Indian market trends.
- Engineer features: Incorporate domain knowledge specific to the Indian context and evaluate feature importance.
- Optimise models: Perform hyperparameter tuning and conduct grid/random searches to achieve optimal performance for Indian datasets.

flexible workload of 4 to 360h
certificate recognized by MEC
What will I learn?
Unlock the power of Python in AI and ML with our comprehensive course, designed specifically for Business Intelligence professionals in India. Delve into data pre-processing, mastering techniques like handling missing data and outlier detection. Enhance your forecasting skills with LSTM, ARIMA, and Prophet models. Learn to optimise models through hyperparameter tuning and grid search methods. Gain expertise in feature engineering and data exploration, and confidently interpret and report results in a way that's relevant to the Indian context. Elevate your BI career with practical, high-quality insights, geared towards the Indian business landscape.
Elevify advantages
Develop skills
- Master data pre-processing: Handle missing data, normalise data, and detect outliers effectively.
- Analyse model predictions: Interpret results and create insightful reports suitable for Indian stakeholders.
- Forecast with time series: Utilise LSTM, Prophet, and ARIMA models effectively for Indian market trends.
- Engineer features: Incorporate domain knowledge specific to the Indian context and evaluate feature importance.
- Optimise models: Perform hyperparameter tuning and conduct grid/random searches to achieve optimal performance for Indian datasets.
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Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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