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Python AI ML Course

What will I learn?

Unlock the potential of Python in AI and ML with our comprehensive course, specifically designed for Business Intelligence professionals in Pakistan. Delve into data pre-processing, mastering techniques such as handling missing values and identifying outliers. Sharpen your forecasting abilities using LSTM, ARIMA, and Prophet models. Learn how to optimize models through hyperparameter tuning and grid search methods. Develop expertise in feature engineering and data exploration, and confidently interpret and report your findings. Advance your BI career with practical, top-notch insights.

Apoia's Unique Features

Lifetime access to online courses
Certificate adhering to educational standards
Printable PDF summaries
Online support available at all times
Select and arrange the chapters you wish to study
Customize your course schedule
Instant feedback on practical activities
Study at your convenience, without needing an internet connection

Develop skills

Strengthen the development of the practical skills listed below

Master data pre-processing: Handle missing values, normalise data, and detect outliers.

Analyse model predictions: Interpret the results and create insightful reports.

Forecast using time series analysis: Effectively utilise LSTM, Prophet, and ARIMA models.

Engineer features: Incorporate domain knowledge and assess feature importance.

Optimise models: Perform hyperparameter tuning and carry out grid/random searches.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can change the chapters and workload.

  • Choose which chapter to start with
  • Add or remove chapters
  • Increase or decrease the course workload

Examples of chapters you can add

You will be able to generate more chapters like the examples below

This is a free course focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but it offers practical and relevant knowledge for your professional journey.