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Python With Machine Learning Course

What will I learn?

I-unlock ang power ng Python at machine learning sa aming comprehensive course na ginawa para sa mga technology professionals. Sumisid sa feature engineering, pag-master ng scaling, normalization, at pag-handle ng categorical variables. Pagandahin ang iyong skills sa model optimization techniques tulad ng random search at hyperparameter tuning. I-explore ang data sources mula sa UCI at Kaggle, at magkaroon ng proficiency sa algorithms tulad ng random forests at decision trees. I-elevate ang iyong expertise sa practical, high-quality training na dinisenyo para sa real-world application.

Apoia's Unique Features

Online and lifetime access to courses
Certificate aligned with educational standards
Printable PDF summaries
Online support always available
Select and arrange the chapters you wish to study
Set your own course workload
Instant feedback on practical activities
Study anytime, no internet required

Develop skills

Strengthen your practical skills in the areas listed below.

I-master ang feature engineering: I-scale, i-normalize, at gumawa ng time-based features.

I-optimize ang models: Pag-aralan ang hyperparameter tuning at grid search techniques.

Mag-source ng data nang epektibo: Gamitin ang UCI at Kaggle para sa relevant datasets.

I-implement ang algorithms: I-explore ang Random Forests, Decision Trees, at Linear Regression.

I-evaluate ang models: Gamitin ang MAE, RMSE, at data splitting para sa performance analysis.

Suggested summary

Workload: between 4 and 360 hours

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

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 offers practical and relevant knowledge for your professional journey.